CN104850641B - A kind of method and device of recommendation information - Google Patents
A kind of method and device of recommendation information Download PDFInfo
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- CN104850641B CN104850641B CN201510274459.5A CN201510274459A CN104850641B CN 104850641 B CN104850641 B CN 104850641B CN 201510274459 A CN201510274459 A CN 201510274459A CN 104850641 B CN104850641 B CN 104850641B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9537—Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
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Abstract
The invention discloses a kind of method and device of recommendation information, to it is timely, accurately to user send recommendation information.The method includes：Obtain the location information of user；It is matched according to the positional information with the user model pre-established, determines the characteristic information of the user；According to the characteristic information recommendation information is sent to the user.The above-mentioned technical proposal of the embodiment of the present invention, according to characteristic information corresponding recommendation information is sent to user, the correlated characteristic of user is determined by user model, and then the relevant information being more suitable for its recommendation with its feature, the accuracy of recommendation information is improved, and since user model is established in advance, the characteristic information of user can be quickly returned by user model, to send recommendation information to user in time, accurately, the efficiency of recommendation is improved.
Description
Technical field
The present invention relates to Internet technical field, more particularly to a kind of method and device of recommendation information.
Background technology
It, can be according to GPS (Global Positioning when user opens cell phone application (Application, application program)
System, global positioning system), Wi-Fi (Wireless-Fidelity, WiMAX), that mobile base station etc. carries out is comprehensive fixed
Then position obtains user position.It is to the service condition of user's location information at present：By calculating, displaying anchor point week
The service on side and information, such as neighbouring hotel, restaurant, market, weather condition；Or the destination selected according to user, lead to
Calculating is crossed, navigation directions are initiated from anchor point.
In the related technology, although related service recommendation can be carried out (as near using the anchor point of user as an information
Hotel, restaurant, market, navigation information etc.), but it is also very primary to the use of location information, also rest on simple using fixed
The stage of position information cannot excavate more valuable data from location information.
Invention content
In view of the above problems, it is proposed that the present invention overcoming the above problem in order to provide one kind or solves at least partly
The method and device for stating a kind of recommendation information of problem, to it is timely, accurately to user send recommendation information.
The present invention provides a kind of method of recommendation information, including：
Obtain the location information of user；
It is matched according to the positional information with the user model pre-established, determines the characteristic information of the user；
According to the characteristic information recommendation information is sent to the user.
In one embodiment, the user model can be obtained by following manner：
Obtain the location information of multiple users and the characteristic information of the multiple user；
According to the location information of the multiple user and the incidence relation of the characteristic information of the multiple user, user is established
Model.
In one embodiment, the characteristic information may include：Personal attribute information and the browsing article in terminal
Information comments on the information of article, the information of accommodating articles and to any one of information of article marking or multinomial user's row
For information.
In one embodiment, the location information for obtaining multiple users and the characteristic information of the multiple user it
Afterwards, the method may also include：
The actual geographic position is subjected to region division；
For each user, the region belonging to the location information of user is determined；
The incidence relation of the characteristic information of the location information and the multiple user according to the multiple user is established
User model, including：
The affiliated region and characteristic information of multiple users is counted, user model is established.
In one embodiment, may also include：
The characteristic information of user in region described in periodic harvest；
According to the characteristic information of the user in the region of the division and the region of persistent collection constantly more user's mould
Type.
The present invention also provides a kind of devices of recommendation information, including：
First acquisition module, the location information for obtaining user；
Characteristic information determining module, for being matched according to the positional information with the user model pre-established, really
The characteristic information of the fixed user；
Recommendation information sending module, for sending recommendation information to the user according to the characteristic information.
In one embodiment, described device may also include：
Second acquisition module, the characteristic information of location information and the multiple user for obtaining multiple users；
User model establishes module, for being believed according to the location information of the multiple user and the feature of the multiple user
The incidence relation of breath, establishes user model.
In one embodiment, the characteristic information may include：Personal attribute information and the browsing article in terminal
Information comments on the information of article, the information of accommodating articles and to any one of information of article marking or multinomial user's row
For information.
In one embodiment, described device may also include：
Region division module, for the actual geographic position to be carried out region division；
Position determination module determines the region belonging to the location information of user for being directed to each user；
User model establishes module and is additionally operable to count the affiliated region and characteristic information of multiple users, establishes and uses
Family model.
In one embodiment, described device may also include：
Collection module, the characteristic information for the user in region described in periodic harvest；
Update module, for the characteristic information according to the user in the region of the division and the region of persistent collection
Continuous more user model.
Some advantageous effects of the embodiment of the present invention may include：By obtaining the location information of user, believed according to position
It ceases and is matched with the user model pre-established, determine the characteristic information of user, sent and corresponded to user according to characteristic information
Recommendation information, determine the correlated characteristic of user by user model, and then be more suitable for its feature to its recommendation related
Information improves the accuracy of recommendation information, and since user model is established in advance, can pass through user's mould
Type quickly returns to the characteristic information of user, to send recommendation information to user in time, accurately, improves the efficiency of recommendation.
Other features and advantages of the present invention will be illustrated in the following description, also, partly becomes from specification
It obtains it is clear that understand through the implementation of the invention.The purpose of the present invention and other advantages can be by the explanations write
Specifically noted structure is realized and is obtained in book, claims and attached drawing.
Below by drawings and examples, technical scheme of the present invention will be described in further detail.
Description of the drawings
Attached drawing is used to provide further understanding of the present invention, and a part for constitution instruction, the reality with the present invention
It applies example to be used to explain the present invention together, not be construed as limiting the invention.In the accompanying drawings：
Fig. 1 is a kind of flow chart of the method for recommendation information in the embodiment of the present invention；
Fig. 2 is the flow chart of the method for another recommendation information in the embodiment of the present invention；
Fig. 3 is the flow chart of the method for another recommendation information in the embodiment of the present invention；
Fig. 4 is the flow chart of the method for another recommendation information in the embodiment of the present invention；
Fig. 5 is a kind of block diagram of the device of recommendation information in the embodiment of the present invention；
Fig. 6 is the block diagram of the device of another recommendation information in the embodiment of the present invention；
Fig. 7 is the block diagram of the device of another recommendation information in the embodiment of the present invention；
Fig. 8 is the block diagram of the device of another recommendation information in the embodiment of the present invention.
Specific implementation mode
Hereinafter, preferred embodiments of the present invention will be described with reference to the accompanying drawings, it should be understood that preferred reality described herein
Apply example only for the purpose of illustrating and explaining the present invention and is not intended to limit the present invention.
Fig. 1 show a kind of flow chart of the method for recommendation information in the embodiment of the present invention, especially for intelligent terminal
In mobile terminal and its application program, as shown in Figure 1, including the following steps S11-S13：
Step S11 obtains the location information of user.
In one embodiment, it when user opens mobile terminal APP, is integrated according to GPS, Wi-Fi, mobile base station etc.
Positioning obtains the location information where user.
Step S12 is matched with the user model pre-established according to location information, determines the characteristic information of user.
In one embodiment, characteristic information may include：Personal attribute information and in terminal browse article information,
It comments on the information of article, the information of accommodating articles and believes to any one of information of article marking or multinomial user behavior
Breath.Personal attribute information can be the personal information such as gender, occupation, income, the home address of user.
In one embodiment, as shown in Fig. 2, user model can be obtained by following step S21-S22：
Step S21 obtains the location information of multiple users and the characteristic information of multiple users.
Step S22 establishes user according to the location information of multiple users and the incidence relation of the characteristic information of multiple users
Model.
According to the location information of collected multiple users big data point is carried out in conjunction with the characteristic information of this multiple user
Analysis, for example, analysis user often browse or purchase commodity category, price range, user collection commodity, the quotient of user comment
The information such as the information such as product and age, occupation, income.User is divided according to region, is used according to different establish in region
Family model.
The above method pre-establishes user model, when there is new user, quickly can release user institute according to location information is counter
In crowd, so as to timely and accurately to new user's Recommendations information.
Step S13 sends recommendation information according to characteristic information to user.
When having new user in use, crowd where capable of reversely finding user according to user model, then by this crowd's
Feature is associated with new user, quickly analyzes the characteristic information of new user, for example, the information such as age, occupation, income, from
And targetedly to user's recommendation information, for example that user accesses is the app of class of doing shopping, it at this time can be targetedly to user
Recommendations information.
The above method of the embodiment of the present invention, by obtain user location information, according to location information with pre-establish
User model matched, determine the characteristic information of user, corresponding recommendation information sent to user according to characteristic information, is led to
The correlated characteristic that user model determines user, and then the relevant information being more suitable for its recommendation with its feature are crossed, improves and pushes away
The accuracy of information is recommended, and since user model is established in advance, can quickly return to use by user model
The characteristic information at family improves the efficiency of recommendation to send recommendation information to user in time, accurately.
In one embodiment, as shown in figure 3, after step s 21, the above method may also include step S23-S24：
Step S23, actual geographic position is subjected to region division.
After the location information for obtaining multiple users, location information and actual geographical location are associated, and mobile phone is fixed
The attribute in site, for example, cell, school, commercial circle, IT office buildings etc..Actual geographic position is subjected to region division, when division,
Such as a region can be divided into an office building, also can several office buildings be divided into a region, had according to actual conditions
Body, which determines how, divides region.
Step S24, it is directed to each user, determines the region belonging to the location information of user.
In this step, the position where each user is incorporated into the region belonging to it.
Step S22 can be embodied as following steps S25：
Step S25, the affiliated region and characteristic information of multiple users is counted, establishes user model.
Big data analysis is carried out according to the location information of user and user behavior information first, carries out the preliminary of user model
It establishes, the attribute of above-mentioned location information and the user model tentatively established is subjected to COMPREHENSIVE CALCULATING, the main latitude of calculating is：It is fixed
The characteristics of position information, the major consumers tendency of user, consumption price section are consumed category etc., and are built according to the region divided
The user model of the vertical attribute centered on actual geographic position.For example, user is established in the region intensive to some office building
Model, such as the regions international trade CBD, the user model of foundation approximately as：First by the location information and reality of the user in this region
Border geographical location is associated, such as the mansions XX, and the user behavior information of acquisition is carried out big data analysis, the result after analyzing
For example it is：Age of user is between 25-45 Sui, income level 5000 or more, the moon level of consumption between 1000-5000,
The merchandise classification often browsed has clothes, electronic product.With the mansion in region can be also single by the user model in this region
Position is finely divided, i.e., establishes user model as unit of each mansion.
The location information of user is associated in specific affiliated regional extent by the above method, is gone forward side by side convenient for dividing region
One step establishes user model.
In one embodiment, as shown in figure 4, the above method may also include step：
Step S26, the characteristic information of the user in periodic harvest region.
Step S27, user is constantly updated according to the characteristic information of the user in the region of division and the region of persistent collection
Model.
In order to keep the user model of foundation more perfect, accurate, persistent collection user's characteristic information, over time,
User model can be more and more accurate, and above-mentioned user model is built first week, second week, third be all, after 4th week, according to user
The accuracy rate of the characteristic information of the anti-new user released of model respectively reached 53.06%, 65.00%, 87.31%,
93.08%.
Based on same inventive concept, the embodiment of the present invention additionally provides a kind of device of recommendation information, by the device institute
The principle solved the problems, such as is similar to the method for aforementioned recommendation information, therefore the implementation of the device may refer to the reality of preceding method
It applies, overlaps will not be repeated.
Fig. 5 show a kind of block diagram of the device of recommendation information in the embodiment of the present invention, as shown in figure 5, the device includes：
First acquisition module 51, the location information for obtaining user；
Characteristic information determining module 52 is determined for being matched with the user model pre-established according to location information
The characteristic information of user；
Recommendation information sending module 53, for sending recommendation information to user according to characteristic information.
In one embodiment, as shown in fig. 6, above-mentioned apparatus may also include：
Second acquisition module 54, the characteristic information of location information and multiple users for obtaining multiple users；
User model establishes module 55, is used for the pass of the characteristic information of the location information and multiple users according to multiple users
Connection relationship, establishes user model.
In one embodiment, characteristic information may include：Personal attribute information and in terminal browse article information,
It comments on the information of article, the information of accommodating articles and believes to any one of information of article marking or multinomial user behavior
Breath.
In one embodiment, as shown in fig. 7, above-mentioned apparatus may also include：
Region division module 56, for actual geographic position to be carried out region division；
Position determination module 57 determines the region belonging to the location information of user for being directed to each user；
User model establishes module 55 and is additionally operable to count the affiliated region and characteristic information of multiple users, establishes
User model.
In one embodiment, as shown in figure 8, above-mentioned apparatus may also include：
Collection module 58, the characteristic information for the user in periodic harvest region；
Update module 59, for according to the characteristic information of the user in the region of division and the region of persistent collection constantly more
User model.
The above-mentioned apparatus of the embodiment of the present invention, by obtain user location information, according to location information with pre-establish
User model matched, determine the characteristic information of user, corresponding recommendation information sent to user according to characteristic information, is led to
The correlated characteristic that user model determines user, and then the relevant information being more suitable for its recommendation with its feature are crossed, improves and pushes away
The accuracy of information is recommended, and since user model is established in advance, can quickly return to use by user model
The characteristic information at family improves the efficiency of recommendation to send recommendation information to user in time, accurately.
It should be understood by those skilled in the art that, the embodiment of the present invention can be provided as method, system or computer program
Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the present invention
Apply the form of example.Moreover, the present invention can be used in one or more wherein include computer usable program code computer
The shape for the computer program product implemented in usable storage medium (including but not limited to magnetic disk storage and optical memory etc.)
Formula.
The present invention be with reference to according to the method for the embodiment of the present invention, the flow of equipment (system) and computer program product
Figure and/or block diagram describe.It should be understood that can be realized by computer program instructions every first-class in flowchart and/or the block diagram
The combination of flow and/or box in journey and/or box and flowchart and/or the block diagram.These computer programs can be provided
Instruct the processor of all-purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce
A raw machine so that the instruction executed by computer or the processor of other programmable data processing devices is generated for real
The device for the function of being specified in present one flow of flow chart or one box of multiple flows and/or block diagram or multiple boxes.
These computer program instructions, which may also be stored in, can guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works so that instruction generation stored in the computer readable memory includes referring to
Enable the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one box of block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device so that count
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, in computer or
The instruction executed on other programmable devices is provided for realizing in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in a box or multiple boxes.
Obviously, various changes and modifications can be made to the invention without departing from essence of the invention by those skilled in the art
God and range.In this way, if these modifications and changes of the present invention belongs to the range of the claims in the present invention and its equivalent technologies
Within, then the present invention is also intended to include these modifications and variations.
Claims (6)
1. a kind of method of recommendation information, which is characterized in that including：
Obtain the location information of user；
It is matched according to the positional information with the user model pre-established, determines the characteristic information of the user, it is described
Characteristic information includes：Personal attribute information and the information of article is browsed in terminal, comments on the information of article, accommodating articles
Information and any one of information to article marking or multinomial user behavior information；
According to the characteristic information corresponding recommendation information is sent to the user；
The user model is obtained by following manner：
Obtain the location information of multiple users and the characteristic information of the multiple user；
According to the location information of the multiple user and the incidence relation of the characteristic information of the multiple user, user's mould is established
Type.
2. the method as described in claim 1, which is characterized in that in the location information for obtaining multiple users and the multiple
After the characteristic information of user, the method further includes：
Actual geographic position is subjected to region division；
For each user, the region belonging to the location information of user is determined；
The incidence relation of the characteristic information of the location information and the multiple user according to the multiple user, establishes user
Model, including：
The affiliated region and characteristic information of multiple users is counted, user model is established.
3. the method as described in claim 1, which is characterized in that further include：
The characteristic information of user in periodic harvest region；
User model is constantly updated according to the characteristic information of the user in the region of division and the region of persistent collection.
4. a kind of device of recommendation information, which is characterized in that including：
First acquisition module, the location information for obtaining user；
Characteristic information determining module determines institute for being matched according to the positional information with the user model pre-established
The characteristic information of user is stated, the characteristic information includes：Personal attribute information and the information of browsing article, comment in terminal
The information of article, the information of accommodating articles and any one of information to article marking or multinomial user behavior information；
Recommendation information sending module, for sending corresponding recommendation information to the user according to the characteristic information；
Described device further includes：
Second acquisition module, the characteristic information of location information and the multiple user for obtaining multiple users；
User model establishes module, is used for the characteristic information of the location information and the multiple user according to the multiple user
Incidence relation establishes user model.
5. device as claimed in claim 4, which is characterized in that described device further includes：
Region division module, for actual geographic position to be carried out region division；
Position determination module determines the region belonging to the location information of user for being directed to each user；
User model establishes module and is additionally operable to count the affiliated region and characteristic information of multiple users, establishes user's mould
Type.
6. device as claimed in claim 4, which is characterized in that further include：
Collection module, the characteristic information for the user in periodic harvest region；
Update module, for being constantly updated according to the characteristic information of the user in the region of division and the region of persistent collection
User model.
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