CN111163146B - Multimedia information publishing method - Google Patents

Multimedia information publishing method Download PDF

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Publication number
CN111163146B
CN111163146B CN201911348353.XA CN201911348353A CN111163146B CN 111163146 B CN111163146 B CN 111163146B CN 201911348353 A CN201911348353 A CN 201911348353A CN 111163146 B CN111163146 B CN 111163146B
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information
tendency
message queue
user
interest
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CN111163146A (en
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胡玮
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Hefei Lindgesia Electronic Technology Co ltd
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Hefei Lindgesia Electronic Technology Co ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/50Network services
    • H04L67/55Push-based network services
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/40Information retrieval; Database structures therefor; File system structures therefor of multimedia data, e.g. slideshows comprising image and additional audio data
    • G06F16/43Querying
    • G06F16/435Filtering based on additional data, e.g. user or group profiles
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/40Information retrieval; Database structures therefor; File system structures therefor of multimedia data, e.g. slideshows comprising image and additional audio data
    • G06F16/44Browsing; Visualisation therefor
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • G06F16/9535Search customisation based on user profiles and personalisation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/957Browsing optimisation, e.g. caching or content distillation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46Multiprogramming arrangements
    • G06F9/54Interprogram communication
    • G06F9/546Message passing systems or structures, e.g. queues
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/50Network services
    • H04L67/535Tracking the activity of the user
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2209/00Indexing scheme relating to G06F9/00
    • G06F2209/54Indexing scheme relating to G06F9/54
    • G06F2209/548Queue

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Signal Processing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Multimedia (AREA)
  • Software Systems (AREA)
  • Computer Hardware Design (AREA)
  • Information Transfer Between Computers (AREA)

Abstract

The invention provides a multimedia information publishing method, which pushes information to a user in a message queue mode, wherein the message queue comprises one or more pieces of hot spot information and a plurality of pieces of tendency information which accord with the user interest. The multimedia information publishing method provided by the invention has the advantages that the information is pushed to the user terminal in a message queue mode, the information on the display interface of the user terminal is updated in batches, each batch comprises the hot spot information and the tendency information which accords with the user interest, the information hot spot and the user interest are considered, the reading efficiency of the information pushed to the user terminal is ensured, the progress of the user to the hot spot information with time is ensured, and the user is prevented from being separated from the social rhythm.

Description

Multimedia information publishing method
Technical Field
The invention relates to the technical field of multimedia information release, in particular to a multimedia information release method.
Background
In the existing method for recommending multimedia information to a client, manual screening is usually performed on a server side to recommend the multimedia information to the client, or hotter multimedia information can be selected to recommend the multimedia information according to the hotspot degree of the multimedia information, or user interest is analyzed according to user browsing records, and information recommendation is performed according to the user interest. The above information popularization method has the following problems:
1. the manual screening has the defects of poor timeliness, resource consumption, low screening efficiency, insufficient content items and no little browsing amount of a large amount of resources eager to be exposed;
2. according to the heat defect, the Martian effect exists, the exposure is carried out more frequently after the first exposure, and the content which is not exposed sinks;
3. when information is recommended according to the interest of the user, other information is ignored, so that the attention points of the user are too concentrated, the eye area cannot be expanded, and the exposure probability of other information is avoided.
Disclosure of Invention
Based on the technical problems in the background art, the invention provides a multimedia information publishing method.
The invention provides a multimedia information publishing method, which pushes information to a user in a message queue mode, wherein the message queue comprises one or more pieces of hot spot information and a plurality of pieces of tendency information which accords with the user interest.
Preferably, the message queue comprises a plurality of ranks, and when the message queue is generated, one or more pieces of hotspot information are firstly acquired and randomly inserted into the message queue, and then the tendency information is acquired according to the user interest and inserted into the message queue.
Preferably, the hotspot information is arranged in the message queue from front to back according to the order of the release time from near to far.
Preferably, the specific way of acquiring the tendency information according to the user interest is as follows: and analyzing the user interest according to the user browsing record, and acquiring the tendency information according to the user interest.
Preferably, the method specifically comprises the following steps:
s1, firstly, establishing a message queue with N arrangement positions, distributing occupation quantities of hot spot information, tendency information and residual information according to a preset X, Y, Z ratio, wherein X + Y + Z is N, Y is larger than X ≧ 1, Y is larger than Z ≧ 1, and X is larger than Z ≧ Z; the tendency information is information according with the user interest, and the rest information is all information except the hotspot information and the tendency information;
s2, obtaining X pieces of hotspot information and randomly inserting the hotspot information into a message queue;
s3, analyzing the user interest according to the user browsing record, acquiring Y pieces of tendency information according to the user interest and randomly inserting the Y pieces of tendency information into a message queue;
s4, acquiring Z pieces of residual information and inserting the residual information into a message queue;
and S5, sending the message queue to the user side.
Preferably, in step S1, the size of the display interface at the user end is first obtained, and then the N value is obtained according to the size of the display interface.
Preferably, step S3 specifically includes:
s31, acquiring browsing records of the user according to the preset number or the preset time period length, clustering the browsing records, and labeling an interest tendency for each category of the browsing records;
s32, distributing Y ranking numbers to each interest tendency according to the browsing record number corresponding to each interest tendency;
and S33, acquiring information corresponding to each interest tendency according to the ranking number and inserting the information into a message queue.
Preferably, in step S32, the ranking numbers occupied by the interest tendencies are calculated one by one according to the sequence of the browsing record numbers from large to small until the assignment of the Y ranking numbers is completed;
in step S33, trend information corresponding to each interest trend is obtained one by one according to the sequence of the occupied ranking number from large to small, and inserted into the message queue.
Preferably, in step S31, the time slots are one week long and the number is greater than or equal to 100.
Preferably, step S3 specifically includes: randomly selecting Y pieces of information from the browsing records of the user, and analyzing interest tendency of the Y pieces of information; and counting the obtained interest tendency and the corresponding number, obtaining the tendency information of the corresponding number corresponding to each interest tendency, and randomly inserting all the tendency information into the message queue.
The multimedia information publishing method provided by the invention has the advantages that the information is pushed to the user terminal in a message queue mode, the information on the display interface of the user terminal is updated in batches, each batch comprises the hot spot information and the tendency information which accords with the user interest, the information hot spot and the user interest are considered, the reading efficiency of the information pushed to the user terminal is ensured, the progress of the user to the hot spot information with time is ensured, and the user is prevented from being separated from the social rhythm.
In addition, in the invention, the information is pushed in a message queue mode, and the information to be pushed is cached in the message queue, so that the large data storage is avoided, the information pushing and the background updating are carried out simultaneously, and the information pushing efficiency is improved.
Drawings
FIG. 1 is a flow chart of a multimedia information distribution method according to the present invention;
FIG. 2 is a flow chart of another method for distributing multimedia information according to the present invention;
fig. 3 is a flow chart of trend information selection proposed in the present invention.
Detailed Description
Referring to fig. 1, the multimedia information publishing method provided by the present invention pushes information to a user in a message queue manner, where the message queue includes one or more pieces of hot spot information and a plurality of pieces of tendency information conforming to user interests.
In the embodiment, the information is pushed to the user side in a message queue manner, the information on the display interface of the user side is updated in batches, each batch comprises the hot spot information and the tendency information which accords with the user interest, the information hot spot and the user interest are considered, the reading efficiency of the information pushed to the user side is ensured, the progress of the user with the hot spot information with time is also ensured, and the user is prevented from being separated from the social rhythm.
In addition, in the embodiment, the information is pushed in a message queue mode, and the information to be pushed is cached in the message queue, so that the large data storage is avoided, the information pushing and the background updating are performed simultaneously, and the information pushing efficiency is improved.
Specifically, in this embodiment, the message queue includes a plurality of ranks, and when the message queue is generated, the one or more pieces of hotspot information are first obtained and randomly inserted into the message queue, and then the tendency information is obtained according to the user interest and inserted into the message queue. Therefore, through the discrete distribution of the hotspot information and the user interest, the method is beneficial to ensuring the balanced reading of the hotspot information titles and the user information titles by the user and ensuring the balanced possibility of reading each piece of information.
In this embodiment, the hotspot information is arranged in the message queue from front to back according to the order of the release time from near to far. Namely, the closer the hot spot information is issued, the higher the front is, the more the hot spot information is guaranteed to be used for follow-up of the hot spot information.
In this embodiment, the specific manner of obtaining the tendency information according to the user interest is as follows: and analyzing the user interest according to the user browsing record, and acquiring the tendency information according to the user interest.
Specifically, referring to fig. 2, the multimedia information distribution method in this embodiment specifically includes the following steps:
s1, firstly, establishing a message queue with N arrangement positions, distributing occupation quantities of hot spot information, tendency information and residual information according to a preset X, Y, Z ratio, wherein X + Y + Z is N, Y is larger than X ≧ 1, Y is larger than Z ≧ 1, and X is larger than Z ≧ Z; the tendency information is information according with the user interest, and the rest information is all information except the hotspot information and the tendency information.
Specifically, in this step, the size of the user-side display interface is first obtained, and then the N value is obtained according to the size of the display interface, that is, the N value is the number of the information titles that can be accommodated by the user-side display interface. N may be specifically set as the height of the display interface divided by the occupied length of a single information title in the height direction. In specific implementation, a corresponding N value may also be preset corresponding to each type of user side display interface.
In specific implementation, Z may be set to 1.
And S2, acquiring X pieces of hotspot information and randomly inserting the hotspot information into a message queue.
Specifically, in this step, after X pieces of hotspot information are randomly selected, the hotspot information is arranged in the message queue from front to back according to the sequence of the release time from near to far.
And S3, analyzing the user interest according to the user browsing record, acquiring Y pieces of tendency information according to the user interest and randomly inserting the Y pieces of tendency information into the message queue.
And S4, obtaining the Z pieces of residual information and inserting the residual information into a message queue.
And S5, sending the message queue to the user side.
In the embodiment, hot spot information and tendency information contained in the push messages of each batch are ensured through setting of X, Y and Z, and meanwhile, at least one ranking is reserved for other information through the Z value, so that the browsing probability of other information is ensured, and the information browsing breadth of a user is further ensured.
Referring to fig. 3, in a specific implementation, step S3 may be implemented by:
s31, browsing records of the user are obtained according to the preset number or the preset time period length, the browsing records are clustered, and an interest tendency is marked for the browsing records of each category. In specific implementation, the time period is one week, and the number is greater than or equal to 100.
And S32, distributing Y ranking numbers to the interest tendencies according to the browsing record number corresponding to each interest tendency. Specifically, in this step, the ranking number occupied by each interest tendency can be calculated one by one according to the sequence of the browsing record number from large to small until the assignment of the number of Y ranking numbers is completed. For example, when the Y value is 5, the clustering result of the currently obtained 100 browsing records is: sports 45, education 35, financing 10, shopping 5, entertainment 5; then, in this embodiment, the ranking number corresponding to the interest tendency "sports" is obtained as follows: 5 × 45/100 ≈ 2.25 ≈ 2; next, the number of ranks corresponding to the "education" for obtaining the interest tendency is: 5 × 35/100 ≈ 1 ≈ 7. So, in this embodiment, can set up, two ranks are taken up in sports, education, and financing takes up a rank, perhaps financing, shopping and amusement take up a rank together.
And S33, acquiring information corresponding to each interest tendency according to the ranking number and inserting the information into a message queue. Specifically, the tendency information corresponding to each interest tendency is obtained one by one and inserted into the message queue according to the sequence of the occupied ranking number from more to less. Therefore, tendency information under the tendency of occupying more ranks to be interested has a priority for idle ranks, and can better ensure the discrete distribution degree in the message queue, thereby further avoiding the concentration of similar messages.
In this embodiment, step S3 specifically includes: randomly selecting Y pieces of information from the browsing records of the user, and analyzing interest tendency of the Y pieces of information; and counting the obtained interest tendency and the corresponding number, obtaining the tendency information of the corresponding number corresponding to each interest tendency, and randomly inserting all the tendency information into the message queue. For example, the current Y value is equal to 8, and 8 browsing messages are randomly selected from browsing records within a time period preset by the user, wherein 4 browsing messages belong to the "sports" interest tendency, 2 browsing messages belong to the "education" interest tendency, 1 browsing message belongs to the "cultural" interest tendency, and 1 browsing message belongs to the "historical" interest tendency. When the message queue is filled, 4 pieces of information, 2 pieces of information, 1 piece of information and 1 piece of information in sports, education, culture and history can be respectively selected to form tendency information and filled in the message queue. Therefore, the workload of interest analysis is reduced, and the work efficiency is improved.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention are equivalent to or changed within the technical scope of the present invention.

Claims (8)

1. A multimedia information release method is characterized in that information is pushed to a user in a message queue mode, wherein the message queue comprises one or more pieces of hot spot information and a plurality of pieces of tendency information which accord with the user interest;
the multimedia information publishing method specifically comprises the following steps:
s1, firstly, establishing a message queue with N arrangement positions, distributing occupation quantities of hot spot information, tendency information and residual information according to a preset X, Y, Z ratio, wherein X + Y + Z = N, Y is larger than X ≧ 1, Y is larger than Z ≧ 1, and X is larger than Z ≧ Z; the tendency information is information according with the user interest, and the rest information is all information except the hotspot information and the tendency information;
s2, acquiring X pieces of hotspot information and randomly inserting the hotspot information into a message queue;
s3, analyzing the user interest according to the user browsing record, acquiring Y pieces of tendency information according to the user interest and randomly inserting the Y pieces of tendency information into a message queue;
s4, acquiring Z pieces of residual information and inserting the residual information into a message queue;
s5, sending the message queue to the user side;
in the multimedia information distribution method, step S3 specifically includes:
s31, acquiring browsing records of the user according to the preset number or the preset time period length, clustering the browsing records, and labeling an interest tendency for each category of the browsing records;
s32, distributing Y ranking numbers to each interest tendency according to the browsing record number corresponding to each interest tendency;
and S33, acquiring information corresponding to each interest tendency according to the ranking number and inserting the information into the message queue.
2. The method according to claim 1, wherein the message queue comprises a plurality of ranks, and when the message queue is generated, the message queue is generated by randomly inserting one or more pieces of hot spot information into the message queue, and then acquiring the trend information according to the user interest and inserting the trend information into the message queue.
3. The multimedia information distribution method according to claim 2, wherein the hotspot information is arranged in the message queue from front to back according to the distribution time from the near to the far.
4. The method for publishing multimedia information according to claim 2, wherein the specific manner for obtaining the trend information according to the user interest is as follows: and analyzing the user interest according to the user browsing record, and acquiring the tendency information according to the user interest.
5. The method for distributing multimedia information according to claim 1, wherein in step S1, the size of the display interface at the user end is obtained first, and then the value N is obtained according to the size of the display interface.
6. The method according to claim 1, wherein in step S32, the ranking numbers occupied by the interest tendencies are calculated one by one according to the sequence of the browsing record numbers from more to less until the distribution of Y ranking numbers is completed;
in step S33, trend information corresponding to each interest trend is obtained one by one according to the sequence of the occupied ranking number from large to small, and inserted into the message queue.
7. The method for distributing the multimedia information according to claim 1, wherein in step S31, the period has a length of one week and the number is greater than or equal to 100.
8. The method for distributing multimedia information according to claim 1, wherein the step S3 specifically comprises: randomly selecting Y pieces of information from the browsing records of the user, and analyzing interest tendency of the Y pieces of information; and counting the obtained interest tendency and the corresponding number, obtaining the tendency information of the corresponding number corresponding to each interest tendency, and randomly inserting all the tendency information into the message queue.
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