CN109120955B - Recommendation method for live broadcast room and related equipment - Google Patents
Recommendation method for live broadcast room and related equipment Download PDFInfo
- Publication number
- CN109120955B CN109120955B CN201811161623.1A CN201811161623A CN109120955B CN 109120955 B CN109120955 B CN 109120955B CN 201811161623 A CN201811161623 A CN 201811161623A CN 109120955 B CN109120955 B CN 109120955B
- Authority
- CN
- China
- Prior art keywords
- novelty
- live
- time period
- preset time
- target user
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/251—Learning process for intelligent management, e.g. learning user preferences for recommending movies
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
- H04N21/466—Learning process for intelligent management, e.g. learning user preferences for recommending movies
- H04N21/4667—Processing of monitored end-user data, e.g. trend analysis based on the log file of viewer selections
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
- H04N21/466—Learning process for intelligent management, e.g. learning user preferences for recommending movies
- H04N21/4668—Learning process for intelligent management, e.g. learning user preferences for recommending movies for recommending content, e.g. movies
Landscapes
- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Computing Systems (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
Abstract
The embodiment of the invention provides a recommendation method and related equipment for a live broadcast room, which are used for recommending a newly-launched live broadcast room which accords with the preference of a user to the user. The method comprises the following steps: acquiring a first live broadcast room set watched by a target user in a first preset time period; determining a first novelty recall set of the target user in a first preset time period according to a first preference partition of the target user in the first preset time period; calculating novelty preferences of the target user in a first preset time period according to the first direct broadcasting time set and the first novelty recall set; determining a second novelty recall set of the target user in a second preset time period according to a second preference partition of the target user in the second preset time period; determining a third novelty recall set corresponding to a target user in the live broadcast platform in a second preset time period; selecting a target live broadcast room from the second novelty recall set and the third novelty recall set according to novelty preferences and preset rules; and recommending the target live broadcast room to the target user.
Description
Technical Field
The invention relates to the technical field of information processing, in particular to a recommendation method for a live broadcast room and related equipment.
Background
With the progress of network communication technology and the increasing speed of broadband networks, the video live broadcast technology is developed and applied more and more.
New live broadcast rooms often appear on a live broadcast platform, for example, live broadcast rooms with the number of broadcast days less than 10 days in the live broadcast platform have certain novelty for users, and therefore, when the live broadcast rooms are recommended, the users are expected to be recommended the new live broadcast rooms in time. However, if the novelty is too heavily weighted, the user may not be interested in what is recommended. Therefore, when recommending this newly emerging live room for the live platform, a problem to be solved is how to balance the preferences and novelty of the user displayed in the user history data.
Disclosure of Invention
The embodiment of the invention provides a recommendation method and related equipment for a live broadcast room, which are used for recommending a new live broadcast room in a live broadcast platform to a user.
A first aspect of an embodiment of the present invention provides a recommendation method for a live broadcast room, including:
acquiring a first live broadcast room set watched by a target user in a first preset time period;
determining a first novelty recall set of the target user in the first preset time period according to a first preference partition of the target user in the first preset time period, wherein live rooms in the first novelty recall set meet a first preset condition;
calculating novelty preferences of the target user within the first preset time period according to the first set of live rooms and the first set of novelty recalls;
determining a second novelty recall set of the target user in a second preset time period according to a second preference partition of the target user in the second preset time period, wherein the duration of the second preset time period is less than that of the first preset time period, and live broadcasting rooms in the second novelty recall set meet a second preset condition;
determining a third novelty recall set corresponding to the target user in the live broadcast platform in the second preset time period, wherein a live broadcast room in the third novelty recall set meets the second preset condition;
selecting a target live broadcast room from the second novelty recall set and the third novelty recall set according to the novelty preference and a preset rule;
and recommending the target live broadcast room to the target user.
Optionally, the determining a first set of novelty recalls for the target user within the first preset time period according to the first preference partition for the target user within the first preset time period comprises:
calculating the viewing preference of the target user for the partition in the live platform within the first preset time period by the following formula:
wherein, prefu(c) Aiming at the target user u in the live broadcast platformViewing preference of partition c, wurThe watching duration of the target user u to a live broadcast room r in the first preset time period is shown, the live broadcast room r is any one live broadcast room in the subarea C, and C is a subarea set watched by the target user u in the first preset time period;
determining the partition with the viewing preference larger than a first preset threshold as the first preference partition;
determining a set of live closets in the first preferred partition that meet a preset condition as the first set of novelty recalls.
Optionally, said calculating novelty preferences of said target user over said first preset time period from said first set of live rooms and said first set of novelty recalls comprises:
calculating novelty preferences of the target user over the first preset time period by the following formula:
wherein Npreft uFor the novelty preference of the target user u within the first preset time period t,
for the number of intersections of live rooms in the first set of live rooms and the first set of novelty recalls,
for the number of live rooms in the first set of live rooms,
c is a smoothing coefficient for the number of live rooms in the first novelty recall set.
Optionally, the selecting a target live broadcast room according to the novelty preference from the second and third set of novelty recalls according to a preset rule includes:
determining a target number of live webcasts recommended to the target user;
determining a first probability and a second probability according to the target number and the novelty preference, wherein the first probability is a selection probability of live rooms in the second novelty recall set, and the second probability is a selection probability of live rooms in the third novelty recall set;
and respectively selecting from the second novelty recall set based on the first probability and from the third novelty recall set based on the second probability to determine the target live broadcast room, wherein the number of live broadcast rooms in the target live broadcast room is the target number.
Optionally, said determining a first probability and a second probability according to said target number and said novelty preference comprises:
calculating the first probability by:
calculating the second probability by:
where m is the target number, Npreft uFor the novelty preferences, q is the number of live closets in the second set of novelty recalls and p is the number of live closets in the third set of novelty recalls.
A second aspect of the present invention provides a recommendation device for a live broadcast room, including:
the device comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring a first live broadcast room set watched by a target user in a first preset time period;
a first determining unit, configured to determine, according to a first preference partition of the target user within the first preset time period, a first novelty recall set of the target user within the first preset time period, where a live room in the first novelty recall set meets a first preset condition;
a calculating unit, configured to calculate novelty preferences of the target user within the first preset time period according to the first live broadcast room set and the first novelty recall set;
a second determining unit, configured to determine, according to a second preference partition of the target user in a second preset time period, a second novelty recall set of the target user in a second preset time period, where a duration of the second preset time period is less than a duration of the first preset time period, and a live broadcast in the second novelty recall set meets a second preset condition;
a third determining unit, configured to determine a third novelty recall set corresponding to the target user in the live broadcast platform in the second preset time period, where a live broadcast room in the third novelty recall set meets the second preset condition;
the selecting unit is used for selecting a target live broadcast room from the second novelty recall set and the third novelty recall set according to the novelty preference and a preset rule;
and the recommending unit is used for recommending the target live broadcast room to the target user.
Optionally, the first determining unit is specifically configured to:
calculating the viewing preference of the target user for the partition in the live platform within the first preset time period by the following formula:
wherein, prefu(c) Viewing preference, w, for the target user u for partition c in the live platformurThe watching duration of the target user u to the live broadcast room r in the first preset time period is shown, the live broadcast room r is any one live broadcast room in the partition C, and C is the watching duration of the target user u in the first preset time periodA partition set;
determining the partition with the viewing preference larger than a first preset threshold as the first preference partition;
determining a set of live closets in the first preferred partition that meet a preset condition as the first set of novelty recalls.
Optionally, the computing unit is specifically configured to:
calculating novelty preferences of the target user over the first preset time period by the following formula:
wherein Npreft uFor the novelty preference of the target user u within the first preset time period t,
for the number of intersections of live rooms in the first set of live rooms and the first set of novelty recalls,
for the number of live rooms in the first set of live rooms,
c is a smoothing coefficient for the number of live rooms in the first novelty recall set.
Optionally, the selecting unit is specifically configured to:
determining a target number of live webcasts recommended to the target user;
determining a first probability and a second probability according to the target number and the novelty preference, wherein the first probability is a selection probability of live rooms in the second novelty recall set, and the second probability is a selection probability of live rooms in the third novelty recall set;
and respectively selecting from the second novelty recall set based on the first probability and from the third novelty recall set based on the second probability to determine the target live broadcast room, wherein the number of live broadcast rooms in the target live broadcast room is the target number.
Optionally, the selecting unit is further specifically configured to:
calculating the first probability by:
calculating the second probability by:
where m is the target number, Npreft uFor the novelty preferences, q is the number of live closets in the second set of novelty recalls and p is the number of live closets in the third set of novelty recalls.
A third aspect of the present invention provides an electronic device, including a memory and a processor, wherein the processor is configured to implement the steps of the live broadcast recommendation method according to any one of the above items when executing a computer management program stored in the memory.
A fourth aspect of the present invention provides a computer-readable storage medium having a computer management-like program stored thereon, characterized in that: the computer management program, when executed by a processor, implements the steps of the live broadcast recommendation method as described in any one of the above.
In summary, it can be seen that, in the embodiment provided by the present invention, by calculating the novelty preference of the target user in the first preset time period, the second novelty recall set and the third novelty recall set in the second preset time period, obtaining the target live broadcast room through the novelty preference, the second novelty recall set and the third novelty recall set, and recommending the target live broadcast room to the target user, two novelty recall sets in a long term and a short term of the user can be determined, and a new live broadcast room best fitting the user preference can be recommended to the user, so as to improve the user experience.
Drawings
Fig. 1 is a schematic flowchart of a recommendation method for a live broadcast room according to an embodiment of the present invention;
fig. 2 is a schematic diagram of an embodiment of a recommendation apparatus in a live broadcast room according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a hardware structure of a recommendation device in a live broadcast room according to an embodiment of the present invention;
fig. 4 is a schematic diagram of an embodiment of an electronic device according to an embodiment of the present invention;
fig. 5 is a schematic diagram of an embodiment of a computer-readable storage medium according to an embodiment of the present invention.
Detailed Description
The embodiment of the invention provides a recommendation method and related equipment for a live broadcast room, which are used for recommending a newly-opened live broadcast room meeting the use preference to a user and improving the user experience.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that the embodiments described herein may be practiced otherwise than as specifically illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus. The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
The following describes a live broadcast recommendation method from the perspective of a live broadcast recommendation device, which may be a server or a service unit in the server.
Referring to fig. 1, fig. 1 is a schematic view of an embodiment of a recommendation method for a live broadcast room according to an embodiment of the present invention, including:
101. the method includes the steps that a first live broadcast room set watched by a target user in a first preset time period is obtained.
In this embodiment, the recommendation device of the live broadcast room may acquire the first live broadcast room set watched by the target user within the first preset time period by acquiring the watching log of the target user within the first preset time period, where the first preset time period may be 3 months or 4 months, and of course, may have other durations, and is not limited specifically.
102. And determining a first novelty recall set of the target user in a first preset time period according to the first preference partition of the target user in the first preset time period.
In this embodiment, the recommendation device in the live broadcast room may first calculate the viewing preference of the target user for the partition in the live broadcast platform in the first preset time period by using the following formula:
wherein, prefu(c) View preference of partition c in live platform for target user u, wurThe watching duration of the target user u to the live broadcast room r in a first preset time period is shown, the live broadcast room r is any one live broadcast room in the subareas C, and C is a subarea set watched by the target user u in the first preset time period; then, the partition with the viewing preference greater than the first preset threshold is determined as a first preference partition, and the live room set meeting the preset condition in the first preference partition is determined as a first novelty recall set, wherein the first preset threshold may be 90%, for example. For example, the following steps are carried out: recommendation device of live broadcast room is used for target throughCalculating the preference of each partition in the live platform by the user within 3 months, and predicting the preference of the partitionu(c) The maximum 3 subareas are used as first preference subareas of users, and in the first preference subareas of target users, live broadcast rooms meeting first preset conditions are selected as a first novelty recall set, wherein the first preset conditions are that the target users do not see within a first preset time period, and the number of watching persons in the live broadcast rooms with the top 10% to 20% in the first preset time period in all the subareas of the live broadcast platform.
103. And calculating novelty preferences of the target user in a first preset time period according to the first direct broadcasting time set and the first novelty recall set.
In this embodiment, the recommendation device in the live broadcast room may calculate the novelty preference of the target user in the first preset time period by using the following formula:
wherein Npreft uFor the novelty preference of the target user u within the first preset time period t,
is the number of intersections of live rooms in the first set of live rooms and the first novel recall set,
for the number of live rooms in the first set of live rooms,
for the number of live rooms in the first novelty recall set, c is a smoothing coefficient, and it is understood that the smoothing system c generally takes a value of 1.
104. And determining a second novelty recall set of the target user within a second preset time period according to a second preference partition of the target user within a second preset time period.
In this embodiment, the recommendation device in the live broadcast room may first calculate the viewing preference of the target user for the partition in the live broadcast platform in the second preset time period by using the following formula:
wherein, prefu(c) View preference of partition c in live platform for target user u, wurThe watching duration of the target user u to the live broadcast room r in a second preset time period is shown, the live broadcast room r is any one live broadcast room in the subareas C, and C is a subarea set watched by the target user u in the second preset time period; and then, determining the partition with the viewing preference larger than a second preset threshold value as a second preference partition, and determining the live broadcasting room set meeting the preset condition in a second good partition as a second novelty recall set, wherein the duration of the second preset time period is smaller than that of the first preset time period, and the live broadcasting rooms in the second novelty recall set meet the second preset condition. For example, the second preset threshold may be 90%, and the second preset period may be 1 month or other time period, which is not limited in particular. For example, the following steps are carried out: the recommendation device of the live broadcast room calculates the preference of each partition in the live broadcast platform within 1 month of the target user and compares the partition preference prefu(c) And the maximum 3 partitions are used as second preference partitions of the users, and in the second preference partitions of the target users, live broadcast rooms meeting second preset conditions are selected as a second novelty recall set, wherein the second preset conditions are that the target users do not see within a second preset time period and the number of watching persons in the live broadcast rooms is ranked from 10% to 20% within the second preset time period in each partition of the live broadcast platform.
105. And determining a third novelty recall set corresponding to the target user in the live broadcast platform in a second preset time period.
In this embodiment, the recommendation device in the live broadcast room may determine a third novelty recall set corresponding to the target user in the live broadcast platform in a second preset time period, where a live broadcast room in the third novelty recall set meets a second preset condition. That is, the set of live rooms meeting the second preset condition and watched by the target user within the second preset time period may be selected from the live platform, which is the third novelty recall set.
It should be noted that the live broadcast room recommending apparatus may obtain the first live broadcast room set through step 101, determine the first novelty recall set through step 102, determine the second novelty recall set through step 104, and determine the third novelty recall set through step 105, however, there is no sequential execution order limitation between these steps, and step 101 may be executed first, step 102 may be executed first, step 104 may be executed first, step 105 may be executed first, or the steps are executed simultaneously, which is not limited specifically.
106. And selecting a target live broadcast room from the second novelty recall set and the third novelty recall set according to the novelty preference and a preset rule.
In this embodiment, the recommendation device of the live broadcast room may first determine the target number of the live broadcast rooms recommended to the target user;
then, determining a first probability and a second probability according to the target number and the novelty preference, wherein the first probability is the selection probability of the live broadcast rooms in the second novelty recall set, and the second probability is the selection probability of the live broadcast rooms in the third novelty recall set;
and finally, respectively selecting from the second novelty recall set based on the first probability and from the third novelty recall set based on the second probability so as to determine a target live broadcast room, wherein the number of live broadcast rooms in the target live broadcast room is the target number.
The recommendation device of the live broadcast room calculates the first probability through the following formula:
the second probability is calculated by the following formula:
where m is the target number, Npreft uFor novelty preferences, q is the number of live closets in the second set of novelty recalls and p is the number of live closets in the third set of novelty recalls.
That is, assuming that the number recommended to the user is m, the number of live closets in the second novelty recall set is p, the number of live closets in the third novelty recall set is q, and the novelty preference of the target user in the first preset time period is nperft uThen, select [ m × nppref ] from qt u]A live room, and another (m [ m ] Npref) is selected from pt u]) The individual live rooms serve as target live rooms.
The rule of choice may be random sampling by probability, i.e. with a first probability
Sampling in a second novel recall combination with a second probability
Sampling is performed in the third novel recall set, and the sampling times are m times, so that m target live broadcast rooms recommended for the target user u are obtained.
107. And recommending the target live broadcast room to the target user.
In this embodiment, the recommendation device in the live broadcast room may recommend all live broadcast rooms in the target live broadcast room to the target user, may also randomly select a preset number (e.g., 5) of live broadcast rooms from the target live broadcast room to recommend to the target user, and may also select a live broadcast room in which the number of people concerned exceeds a threshold value in the target live broadcast room to recommend to the target user, which is not specifically limited.
In summary, it can be seen that, in the embodiment provided by the present invention, by calculating the novelty preference of the target user in the first preset time period, the second novelty recall set and the third novelty recall set in the second preset time period, obtaining the target live broadcast room through the novelty preference, the second novelty recall set and the third novelty recall set, and recommending the target live broadcast room to the target user, two novelty recall sets in a long term and a short term of the user can be determined, and a new live broadcast room best fitting the user preference can be recommended to the user, so as to improve the user experience.
The above describes a recommendation method for a live broadcast room in the embodiment of the present invention, and the following describes a recommendation device for a live broadcast room in the embodiment of the present invention.
Referring to fig. 2, an embodiment of a recommendation device for a live broadcast room in an embodiment of the present invention includes:
an obtaining unit 201, configured to obtain a first live broadcast room set watched by a target user within a first preset time period;
a first determining unit 202, configured to determine, according to a first preference partition of the target user within the first preset time period, a first novelty recall set of the target user within the first preset time period, where a live room in the first novelty recall set meets a first preset condition;
a calculating unit 203, configured to calculate novelty preferences of the target user within the first preset time period according to the first live broadcast room set and the first novelty recall set;
a second determining unit 204, configured to determine, according to a second preference partition of the target user in a second preset time period, a second novelty recall set of the target user in a second preset time period, where a duration of the second preset time period is less than a duration of the first preset time period, and a live room in the second novelty recall set meets a second preset condition;
a third determining unit 205, configured to determine a third novelty recall set corresponding to the target user in the live broadcast platform in the second preset time period, where a live broadcast room in the third novelty recall set meets the second preset condition;
an extracting unit 206, configured to extract a target live broadcast room according to a preset rule from the second novelty recall set and the third novelty recall set according to the novelty preference;
and the recommending unit 207 is configured to recommend the target live broadcast to the target user.
Optionally, the first determining unit 202 is specifically configured to:
calculating the viewing preference of the target user for the partition in the live platform within the first preset time period by the following formula:
wherein, prefu(c) Viewing preference, w, for the target user u for partition c in the live platformurThe watching duration of the target user u to a live broadcast room r in the first preset time period is shown, the live broadcast room r is any one live broadcast room in the subarea C, and C is a subarea set watched by the target user u in the first preset time period;
determining the partition with the viewing preference larger than a first preset threshold as the first preference partition;
determining a set of live closets in the first preferred partition that meet a preset condition as the first set of novelty recalls.
Optionally, the calculating unit 203 is specifically configured to:
calculating novelty preferences of the target user over the first preset time period by the following formula:
wherein Npreft uFor the novelty preference of the target user u within the first preset time period t,
for the number of intersections of live rooms in the first set of live rooms and the first set of novelty recalls,
for the number of live rooms in the first set of live rooms,
c is a smoothing coefficient for the number of live rooms in the first novelty recall set.
Optionally, the selecting unit 206 is specifically configured to:
determining a target number of live webcasts recommended to the target user;
determining a first probability and a second probability according to the target number and the novelty preference, wherein the first probability is a selection probability of live rooms in the second novelty recall set, and the second probability is a selection probability of live rooms in the third novelty recall set;
and respectively selecting from the second novelty recall set based on the first probability and from the third novelty recall set based on the second probability to determine the target live broadcast room, wherein the number of live broadcast rooms in the target live broadcast room is the target number.
Optionally, the selecting unit 206 is further specifically configured to:
calculating the first probability by:
calculating the second probability by:
where m is the target number, Npreft uFor the novelty preferences, q is the number of live closets in the second set of novelty recalls and p is the number of live closets in the third set of novelty recalls.
Fig. 2 above describes a recommendation apparatus of a live broadcast room in an embodiment of the present invention from the perspective of a modular functional entity, and the following describes in detail a recommendation apparatus of a live broadcast room in an embodiment of the present invention from the perspective of hardware processing, referring to fig. 3, an embodiment of a recommendation apparatus 300 of a live broadcast room in an embodiment of the present invention includes:
an input device 301, an output device 302, a processor 303 and a memory 304 (wherein the number of the processor 303 may be one or more, and one processor 303 is taken as an example in fig. 3). In some embodiments of the present invention, the input device 301, the output device 502, the processor 303, and the memory 304 may be connected by a bus or other means, wherein the connection by the bus is exemplified in fig. 3.
Wherein, by calling the operation instruction stored in the memory 304, the processor 303 is configured to perform the following steps:
acquiring a first live broadcast room set watched by a target user in a first preset time period;
determining a first novelty recall set of the target user in the first preset time period according to a first preference partition of the target user in the first preset time period, wherein live rooms in the first novelty recall set meet a first preset condition;
calculating novelty preferences of the target user within the first preset time period according to the first set of live rooms and the first set of novelty recalls;
determining a second novelty recall set of the target user in a second preset time period according to a second preference partition of the target user in the second preset time period, wherein the duration of the second preset time period is less than that of the first preset time period, and live broadcasting rooms in the second novelty recall set meet a second preset condition;
determining a third novelty recall set corresponding to the target user in the live broadcast platform in the second preset time period, wherein a live broadcast room in the third novelty recall set meets the second preset condition;
selecting a target live broadcast room from the second novelty recall set and the third novelty recall set according to the novelty preference and a preset rule;
and recommending the target live broadcast room to the target user.
The processor 303 is also configured to perform any of the methods in the corresponding embodiments of fig. 1 by calling the operation instructions stored in the memory 304.
Referring to fig. 4, fig. 4 is a schematic view of an embodiment of an electronic device according to an embodiment of the invention.
As shown in fig. 4, an embodiment of the present invention provides an electronic device, which includes a memory 410, a processor 420, and a computer program 411 stored in the memory 420 and running on the processor 420, and when the processor 420 executes the computer program 411, the following steps are implemented:
acquiring a first live broadcast room set watched by a target user in a first preset time period;
determining a first novelty recall set of the target user in the first preset time period according to a first preference partition of the target user in the first preset time period, wherein live rooms in the first novelty recall set meet a first preset condition;
calculating novelty preferences of the target user within the first preset time period according to the first set of live rooms and the first set of novelty recalls;
determining a second novelty recall set of the target user in a second preset time period according to a second preference partition of the target user in the second preset time period, wherein the duration of the second preset time period is less than that of the first preset time period, and live broadcasting rooms in the second novelty recall set meet a second preset condition;
determining a third novelty recall set corresponding to the target user in the live broadcast platform in the second preset time period, wherein a live broadcast room in the third novelty recall set meets the second preset condition;
selecting a target live broadcast room from the second novelty recall set and the third novelty recall set according to the novelty preference and a preset rule;
and recommending the target live broadcast room to the target user.
In a specific implementation, when the processor 420 executes the computer program 411, any of the embodiments corresponding to fig. 1 may be implemented.
Since the electronic device described in this embodiment is a device used for implementing a recommendation apparatus of a live broadcast room in the embodiment of the present invention, based on the method described in the embodiment of the present invention, those skilled in the art can understand the specific implementation manner of the electronic device of this embodiment and various variations thereof, so that how to implement the method in the embodiment of the present invention by the electronic device is not described in detail herein, and as long as the device used for implementing the method in the embodiment of the present invention by the person skilled in the art belongs to the intended scope of the present invention.
Referring to fig. 5, fig. 5 is a schematic diagram illustrating an embodiment of a computer-readable storage medium according to the present invention.
As shown in fig. 5, the present embodiment provides a computer-readable storage medium 500 having a computer program 511 stored thereon, the computer program 511 implementing the following steps when executed by a processor:
acquiring a first live broadcast room set watched by a target user in a first preset time period;
determining a first novelty recall set of the target user in the first preset time period according to a first preference partition of the target user in the first preset time period, wherein live rooms in the first novelty recall set meet a first preset condition;
calculating novelty preferences of the target user within the first preset time period according to the first set of live rooms and the first set of novelty recalls;
determining a second novelty recall set of the target user in a second preset time period according to a second preference partition of the target user in the second preset time period, wherein the duration of the second preset time period is less than that of the first preset time period, and live broadcasting rooms in the second novelty recall set meet a second preset condition;
determining a third novelty recall set corresponding to the target user in the live broadcast platform in the second preset time period, wherein a live broadcast room in the third novelty recall set meets the second preset condition;
selecting a target live broadcast room from the second novelty recall set and the third novelty recall set according to the novelty preference and a preset rule;
and recommending the target live broadcast room to the target user.
In a specific implementation, the computer program 511 may implement any of the embodiments corresponding to fig. 1 when executed by a processor.
It should be noted that, in the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to relevant descriptions of other embodiments for parts that are not described in detail in a certain embodiment.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Embodiments of the present invention further provide a computer program product, where the computer program product includes computer software instructions, and when the computer software instructions are executed on a processing device, the processing device executes a flow in the method for designing a wind farm digital platform in the embodiment corresponding to fig. 1.
The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website, computer, server, or data center to another website, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can store or a data storage device, such as a server, a data center, etc., that is integrated with one or more available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments provided in the present invention, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A recommendation method for a live broadcast room is characterized by comprising the following steps:
acquiring a first live broadcast room set watched by a target user in a first preset time period;
determining a first novelty recall set of the target user within the first preset time period according to a first preference partition of the target user within the first preset time period, wherein the first novelty recall set is a live room set meeting a first preset condition in the first preference partition, and live rooms in the first novelty recall set meet the first preset condition; the first preset condition is that the target user does not see in a first preset time period, and the number of people watching in the live broadcast room with the top 10 to 20 percent of the number of people watching in the first preset time period in each partition of the live broadcast platform is sequenced;
calculating novelty preferences of the target user within the first preset time period according to the first set of live rooms and the first set of novelty recalls;
determining a second novelty recall set of the target user in a second preset time period according to a second preference partition of the target user in the second preset time period, wherein the second novelty recall set is a live broadcasting room set meeting a second preset condition in the second preference partition, the duration of the second preset time period is less than that of the first preset time period, and the live broadcasting rooms in the second novelty recall set meet the second preset condition; the second preset condition is that the target user does not see in a second preset time period and the number of people watching in the live broadcast room with the top 10 to 20 percent of the number in the second preset time period in each subarea of the live broadcast platform;
determining a third novelty recall set corresponding to the target user in the live broadcast platform in the second preset time period, wherein the third novelty recall set is a set of live broadcast rooms meeting second preset conditions and watched by the target user in the second preset time period selected from the live broadcast platform, and the live broadcast rooms in the third novelty recall set meet the second preset conditions;
selecting a target live broadcast room from the second novelty recall set and the third novelty recall set according to the novelty preference and a preset rule;
and recommending the target live broadcast room to the target user.
2. The method of claim 1, wherein the determining a first set of novelty recalls for the target user within the first preset time period according to the first preferred partition of the target user within the first preset time period comprises:
calculating the viewing preference of the target user for the partition in the live platform within the first preset time period by the following formula:
wherein, prefu(c) Viewing preference, w, for the target user u for partition c in the live platformurThe watching duration of the target user u to a live broadcast room r in the first preset time period is shown, the live broadcast room r is any one live broadcast room in the subarea C, and C is a subarea set watched by the target user u in the first preset time period;
determining the partition with the viewing preference larger than a first preset threshold as the first preference partition;
determining a set of live closets in the first preferred partition that meet a preset condition as the first set of novelty recalls.
3. The method of claim 1, wherein the calculating novelty preferences of the target user over the first preset time period from the first set of live rooms and the first set of novelty recalls comprises:
calculating novelty preferences of the target user over the first preset time period by the following formula:
wherein Npreft uFor the novelty preference of the target user u within the first preset time period t,
for the number of intersections of live rooms in the first set of live rooms and the first set of novelty recalls,
for the number of live rooms in the first set of live rooms,
c is a smoothing coefficient for the number of live rooms in the first novelty recall set.
4. The method of claim 1, wherein the selecting a target live broadcast from the second and third set of novelty recalls according to the novelty preferences according to preset rules comprises:
determining a target number of live webcasts recommended to the target user;
determining a first probability and a second probability according to the target number and the novelty preference, wherein the first probability is a selection probability of live rooms in the second novelty recall set, and the second probability is a selection probability of live rooms in the third novelty recall set;
and respectively selecting from the second novelty recall set based on the first probability and from the third novelty recall set based on the second probability to determine the target live broadcast room, wherein the number of live broadcast rooms in the target live broadcast room is the target number.
5. The method of claim 4, wherein said determining a first probability and a second probability based on said target number and said novelty preference comprises:
calculating the first probability by:
calculating the second probability by:
wherein m isThe target quantity, Npreft uFor the novelty preferences, q is the number of live closets in the second set of novelty recalls and p is the number of live closets in the third set of novelty recalls.
6. A recommendation device for a live broadcast room, comprising:
the device comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring a first live broadcast room set watched by a target user in a first preset time period;
a first determining unit, configured to determine, according to a first preference partition of the target user within the first preset time period, a first novelty recall set of the target user within the first preset time period, where the first novelty recall set is a live room set in the first preference partition that meets a first preset condition, and a live room in the first novelty recall set meets the first preset condition; the first preset condition is that the target user does not see in a first preset time period, and the number of people watching in the live broadcast room with the top 10 to 20 percent of the number of people watching in the first preset time period in each partition of the live broadcast platform is sequenced;
a calculating unit, configured to calculate novelty preferences of the target user within the first preset time period according to the first live broadcast room set and the first novelty recall set;
a second determining unit, configured to determine, according to a second preference partition of the target user within a second preset time period, a second novelty recall set of the target user within a second preset time period, where the second novelty recall set is a live broadcast room set in the second preference partition that meets a second preset condition, a duration of the second preset time period is less than a duration of the first preset time period, and a live broadcast room in the second novelty recall set meets a second preset condition; the second preset condition is that the target user does not see in a second preset time period and the number of people watching in the live broadcast room with the top 10 to 20 percent of the number in the second preset time period in each subarea of the live broadcast platform;
a third determining unit, configured to determine a third novelty recall set corresponding to the target user in the live broadcast platform in the second preset time period, where the third novelty recall set is a set of live broadcasts watched by the target user in the second preset time period and meeting a second preset condition, and the live broadcasts in the third novelty recall set meet the second preset condition;
the selecting unit is used for selecting a target live broadcast room from the second novelty recall set and the third novelty recall set according to the novelty preference and a preset rule;
and the recommending unit is used for recommending the target live broadcast room to the target user.
7. The apparatus according to claim 6, wherein the first determining unit is specifically configured to:
calculating the viewing preference of the target user for the partition in the live platform within the first preset time period by the following formula:
wherein, prefu(c) Viewing preference, w, for the target user u for partition c in the live platformurThe watching duration of the target user u to a live broadcast room r in the first preset time period is shown, the live broadcast room r is any one live broadcast room in the subarea C, and C is a subarea set watched by the target user u in the first preset time period;
determining the partition with the viewing preference larger than a first preset threshold as the first preference partition;
determining a set of live closets in the first preferred partition that meet a preset condition as the first set of novelty recalls.
8. The apparatus according to claim 6, wherein the computing unit is specifically configured to:
calculating novelty preferences of the target user over the first preset time period by the following formula:
wherein Npreft uFor the novelty preference of the target user u within the first preset time period t,
for the number of intersections of live rooms in the first set of live rooms and the first set of novelty recalls,
for the number of live rooms in the first set of live rooms,
c is a smoothing coefficient for the number of live rooms in the first novelty recall set;
optionally, the selecting unit is specifically configured to:
determining a target number of live webcasts recommended to the target user;
determining a first probability and a second probability according to the target number and the novelty preference, wherein the first probability is a selection probability of live rooms in the second novelty recall set, and the second probability is a selection probability of live rooms in the third novelty recall set;
and respectively selecting from the second novelty recall set based on the first probability and from the third novelty recall set based on the second probability to determine the target live broadcast room, wherein the number of live broadcast rooms in the target live broadcast room is the target number.
Optionally, the selecting unit is further specifically configured to:
calculating the first probability by:
calculating the second probability by:
where m is the target number, Npreft uFor the novelty preferences, q is the number of live closets in the second set of novelty recalls and p is the number of live closets in the third set of novelty recalls.
9. An electronic device comprising a memory and a processor, wherein the processor is configured to implement the steps of the live broadcast recommendation method according to any one of claims 1 to 4 when executing a computer management-like program stored in the memory.
10. A computer-readable storage medium having stored thereon a computer management-like program, characterized in that: the computer management class program, when executed by a processor, implements the steps of the method of recommendation of a live broadcast room as claimed in any one of claims 1 to 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811161623.1A CN109120955B (en) | 2018-09-30 | 2018-09-30 | Recommendation method for live broadcast room and related equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811161623.1A CN109120955B (en) | 2018-09-30 | 2018-09-30 | Recommendation method for live broadcast room and related equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109120955A CN109120955A (en) | 2019-01-01 |
| CN109120955B true CN109120955B (en) | 2020-12-15 |
Family
ID=64856557
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811161623.1A Active CN109120955B (en) | 2018-09-30 | 2018-09-30 | Recommendation method for live broadcast room and related equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109120955B (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109862013B (en) * | 2019-01-31 | 2021-06-15 | 武汉斗鱼网络科技有限公司 | Live broadcast room recommendation method, storage medium, electronic device and system |
| CN110087119B (en) * | 2019-04-26 | 2022-02-22 | 广州酷狗计算机科技有限公司 | Live broadcast home page display method and device and computer readable storage medium |
| CN113207010B (en) * | 2021-06-02 | 2022-06-17 | 清华大学 | Model training method, live broadcast recommendation method, device and storage medium |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2013178190A3 (en) * | 2012-08-27 | 2014-01-09 | 中兴通讯股份有限公司 | Method, device and system and for play synchronization control in video recommendation service |
| EP2760215A1 (en) * | 2013-01-25 | 2014-07-30 | Samsung Electronics Co., Ltd | Image display apparatus, content recommendation information receiving method, server and content recommendation method |
| CN105915956A (en) * | 2015-12-15 | 2016-08-31 | 乐视网信息技术（北京）股份有限公司 | Video content recommendation method, device, server and system |
| CN106561054A (en) * | 2016-06-29 | 2017-04-12 | 武汉斗鱼网络科技有限公司 | Live broadcast room recommendation method and system for live broadcast website |
| CN106658074A (en) * | 2016-11-21 | 2017-05-10 | 武汉斗鱼网络科技有限公司 | Method for evaluating live broadcasting room recommendation strategy, user equipment (UE) and server system |
| CN106993204A (en) * | 2017-03-29 | 2017-07-28 | 武汉斗鱼网络科技有限公司 | A kind of net cast management method and device |
| CN107493513A (en) * | 2017-09-29 | 2017-12-19 | 武汉斗鱼网络科技有限公司 | User measures method and device to the preference of live content |
| US9888288B2 (en) * | 2007-06-26 | 2018-02-06 | Broadband Itv, Inc. | Dynamic adjustment of electronic program guide displays based on viewer preferences for minimizing navigation in VOD program selection |
| CN107770571A (en) * | 2017-10-26 | 2018-03-06 | 咪咕视讯科技有限公司 | A kind of direct broadcasting room recommends method, apparatus and storage medium |
| CN107948753A (en) * | 2017-11-20 | 2018-04-20 | 武汉斗鱼网络科技有限公司 | One kind recommends method, apparatus and computer equipment |
| CN108259939A (en) * | 2017-12-25 | 2018-07-06 | 广州华多网络科技有限公司 | new video push control method, device and server |
| CN108322829A (en) * | 2018-03-02 | 2018-07-24 | 北京奇艺世纪科技有限公司 | Personalized main broadcaster recommends method, apparatus and electronic equipment |
-
2018
- 2018-09-30 CN CN201811161623.1A patent/CN109120955B/en active Active
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9888288B2 (en) * | 2007-06-26 | 2018-02-06 | Broadband Itv, Inc. | Dynamic adjustment of electronic program guide displays based on viewer preferences for minimizing navigation in VOD program selection |
| WO2013178190A3 (en) * | 2012-08-27 | 2014-01-09 | 中兴通讯股份有限公司 | Method, device and system and for play synchronization control in video recommendation service |
| EP2760215A1 (en) * | 2013-01-25 | 2014-07-30 | Samsung Electronics Co., Ltd | Image display apparatus, content recommendation information receiving method, server and content recommendation method |
| CN105915956A (en) * | 2015-12-15 | 2016-08-31 | 乐视网信息技术（北京）股份有限公司 | Video content recommendation method, device, server and system |
| CN106561054A (en) * | 2016-06-29 | 2017-04-12 | 武汉斗鱼网络科技有限公司 | Live broadcast room recommendation method and system for live broadcast website |
| CN106658074A (en) * | 2016-11-21 | 2017-05-10 | 武汉斗鱼网络科技有限公司 | Method for evaluating live broadcasting room recommendation strategy, user equipment (UE) and server system |
| CN106993204A (en) * | 2017-03-29 | 2017-07-28 | 武汉斗鱼网络科技有限公司 | A kind of net cast management method and device |
| CN107493513A (en) * | 2017-09-29 | 2017-12-19 | 武汉斗鱼网络科技有限公司 | User measures method and device to the preference of live content |
| CN107770571A (en) * | 2017-10-26 | 2018-03-06 | 咪咕视讯科技有限公司 | A kind of direct broadcasting room recommends method, apparatus and storage medium |
| CN107948753A (en) * | 2017-11-20 | 2018-04-20 | 武汉斗鱼网络科技有限公司 | One kind recommends method, apparatus and computer equipment |
| CN108259939A (en) * | 2017-12-25 | 2018-07-06 | 广州华多网络科技有限公司 | new video push control method, device and server |
| CN108322829A (en) * | 2018-03-02 | 2018-07-24 | 北京奇艺世纪科技有限公司 | Personalized main broadcaster recommends method, apparatus and electronic equipment |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109120955A (en) | 2019-01-01 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110896488B (en) | Recommendation method for live broadcast room and related equipment | |
| CN109379608B (en) | Recommendation method for live broadcast room and related equipment | |
| CN106897284B (en) | Recommendation method and device for electronic books | |
| CN109120955B (en) | Recommendation method for live broadcast room and related equipment | |
| CN109255371B (en) | Method for determining false attention user of live broadcast platform and related equipment | |
| CN107205178A (en) | Direct broadcasting room recommends method and device | |
| CN106492458B (en) | Merging method and device of game server | |
| CN108985954B (en) | Method for establishing association relation of each identifier and related equipment | |
| CN106649681B (en) | Data processing method, device and equipment | |
| CN109257617B (en) | Method for determining suspected user in live broadcast platform and related equipment | |
| CN104053023B (en) | A kind of method and device of determining video similarity | |
| CN103686237A (en) | Method and system for recommending video resource | |
| CN107172452A (en) | Direct broadcasting room recommends method and device | |
| WO2012059400A1 (en) | Application recommendation | |
| CN110929086A (en) | Audio and video recommendation method and device and storage medium | |
| CN110895594A (en) | Page display method and related equipment | |
| CN109951725B (en) | Recommendation method for live broadcast room and related equipment | |
| CN106156351B (en) | Multimedia resource recommendation information generation method and device | |
| CN112100221A (en) | Information recommendation method and device, recommendation server and storage medium | |
| CN111064971B (en) | Method for customizing broadcast notification and related equipment | |
| CN113412481B (en) | Resource pushing method, device, server and storage medium | |
| CN105956061B (en) | Method and device for determining similarity between users | |
| JP6160362B2 (en) | Information evaluation apparatus, information evaluation method, and information evaluation program | |
| CN109361929B (en) | Method for determining live broadcast room label and related equipment | |
| KR101082956B1 (en) | User leaving prevention system and method thereof in online game |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |