CN105989106A - Recommendation method and device based on interest similarity - Google Patents
Recommendation method and device based on interest similarity Download PDFInfo
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- CN105989106A CN105989106A CN201510080346.1A CN201510080346A CN105989106A CN 105989106 A CN105989106 A CN 105989106A CN 201510080346 A CN201510080346 A CN 201510080346A CN 105989106 A CN105989106 A CN 105989106A
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Abstract
The embodiment of the invention discloses a recommendation method and device based on interest similarity. The method comprises the following steps: acquiring a historic record about download information and score information of application software of each of a first user and a second user; acquiring the application software which is simultaneously downloaded by the first user and the second user as the preference similar application software between the first user and the second user, wherein the score difference of the application software between the first user and the second user is in a preset threshold range; when the number of the preference similar application software between the first user and the second user is greater than or equal to a preset number, judging that the first user and the second user have the similar interest; and performing friend recommendation or the application software recommendation between the first user and the second user with the similar interest. Through the adoption of the method and device disclosed by the invention, the application can be recommended between the users with the similar interest, and the recommendation efficiency is improved.
Description
Technical field
The present invention relates to data processing field, particularly relate to a kind of recommendation method based on Interest Similarity and dress
Put.
Background technology
The advantage of mobile terminal Internet access is convenient and swift, is not affected by time zone, the most all may be used
With online.And the advancing by leaps and bounds of APP (application) application and development market so that mobile APP becomes
The main flow of mobile Internet, the App store of Apple has started the new page of cell phone software industry development, has made
The enthusiasm participated of the supplier of third party software is the most surging.User relies on all the more cell phone software business
Shop, the market demand of App exploitation is the most flourishing with development prospect.
Although App software market brings substantial amounts of application software to user, meet user in the information age
Demand to information, but increasing substantially along with network information so that user when in the face of bulk information without
Method therefrom obtains the part information actually useful to oneself, reduces the service efficiency of information on the contrary.Cause
How this obtains oneself effective information interested from huge software market, becomes the eager demand of user.
At present, some software application markets carry out the recommendation of application software according to the Interest Similarity between user, main
If the most similar by judging the Download History between different user, thus whether judge between different user
Interest is similar, and then carries out the recommendation of application software each other, but carries out only according to Download History
The judgement of Interest Similarity easily produces erroneous judgement, causes result the most objective.
Summary of the invention
Embodiment of the present invention technical problem to be solved is, it is provided that a kind of recommendation based on Interest Similarity
Method and device, by application Download History, the contrast of review record between user, it is achieved that emerging
Application between the user that interest is similar is recommended, and improves accuracy and the efficiency of recommendation.
First aspect, embodiments provides a kind of recommendation method based on Interest Similarity, including:
Obtain first user and the download information of application software of the second user, the historical record of score information；
According to described historical record, obtain described first user and difference that the second user downloads simultaneously and marks
Application software in preset threshold range seemingly should as the hobby class between described first user and the second user
Use software；
Described hobby similar application software number between described first user and the second user is more than or equal to pre-
If during numerical value, then judge that between described first user and the second user, interest is similar；
Pushing away of friend recommendation or application software is carried out between described first user and the second user that interest is similar
Recommend.
In conjunction with first aspect, in the implementation that the first is possible, described according to described historical record, obtain
Take described first user and the second user downloads and the application in preset threshold range of the difference marked is soft simultaneously
Part as the hobby similar application software between described first user and the second user, including:
According to described historical record, the application software gathering described first user and the second user respectively downloads,
The list of comment；
By contrasting described first user and the second user application software download list, extract in list identical
Application software；
For described identical application software, contrast described first user and scoring record corresponding to the second user；
When the difference of described scoring is in preset threshold range, it is determined that described application software be first user and
Hobby similar application software between second user.
In conjunction with first aspect, in the implementation that the second is possible, described when described first user and second
When described hobby similar application software number between user is more than or equal to default value, then judge described first
Between user and the second user, interest is similar, including:
Pre-set the default value of described hobby similar application software；
Judge the number of hobby similar application software between described first user and the second user；
When the number of the hobby similar application software judged between described first user and the second user is more than
When described default value, then judge that between described first user and the second user, interest is similar.
In conjunction with first aspect, in the implementation that the third is possible, described interest similar described first
The recommendation of friend recommendation or application software is carried out between user and the second user, including:
Between first user and the second user that described interest is similar, to first user recommend the second user or
First user is recommended to pay close attention to the second user；Or
Between first user and the second user that described interest is similar, recommend the second user's to first user
The application software downloaded, or the application software downloaded of first user is recommended to the second user.
Can in conjunction with the first possible implementation of first aspect or first aspect or the second of first aspect
Any one mode in the implementation of energy or the third possible implementation of first aspect, at the 4th kind
In possible implementation, the download information of described application software include described downloading application software title and
Version.
Second aspect, embodiments provides a kind of recommendation apparatus based on Interest Similarity, including:
Data obtaining module, for obtaining the download information of the application software of first user and the second user, commenting
Divide the historical record of information；
First judge module, for according to described historical record, obtains described first user and the second user is same
Time download and the difference application software in preset threshold range of scoring is used as described first user and second
Hobby similar application software between family；
Second judge module, for the described hobby similar application between described first user and the second user
When software number is more than or equal to default value, then judge that between described first user and the second user, interest is similar；
Application recommending module, for carrying out good friend between described first user and the second user that interest is similar
Recommend or the recommendation of application software.
In conjunction with second aspect, in the implementation that the first is possible, described first judge module, including:
Collecting unit, for according to described historical record, gathers described first user and the second user respectively
Application software is downloaded, the list of comment；
Extraction unit, for by contrasting described first user and the second user application software download list, carrying
Take application software identical in list；
Contrast unit, for for described identical application software, contrasts described first user and the second user
Corresponding scoring record；
First identifying unit, for when the difference of described scoring is in preset threshold range, it is determined that described should
It is the hobby similar application software between first user and the second user with software.
In conjunction with second aspect, in the implementation that the second is possible, described second judge module, including:
Preset unit, for pre-setting the default value of described hobby similar application software；
Judging unit, for judging hobby similar application software between described first user and the second user
Number；
Second identifying unit, for when judging that the hobby class between described first user and the second user seemingly should
During by the number of software more than or equal to described default value, then judge between described first user and the second user
Interest is similar.
In conjunction with second aspect, in the implementation that the third is possible, described application recommending module, including:
User's recommendation unit, between first user and the second user that described interest is similar, to first
User recommends the second user or recommends first user to pay close attention to the second user；
Application recommendation unit, between first user and the second user that described interest is similar, to first
User recommends the application software downloaded of the second user, or recommends the download of first user to the second user
Application software.
Can in conjunction with the first possible implementation of second aspect or second aspect or the second of second aspect
Any one mode in the implementation of energy or the third possible implementation of second aspect, at the 4th kind
In possible implementation, the download information of described application software include described downloading application software title and
Version.
Implement the embodiment of the present invention, have the advantages that
The embodiment of the present invention, by recommendation method based on Interest Similarity, to the application between user
Download historical record and comment historical record contrasts, calculate the Interest Similarity between user, Jin Ergen
Between the user that interest is similar, carry out the recommendation applied according to result of calculation, improve accuracy and the effect of recommendation
Rate.
Accompanying drawing explanation
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to enforcement
In example or description of the prior art, the required accompanying drawing used is briefly described, it should be apparent that, describe below
In accompanying drawing be only some embodiments of the present invention, for those of ordinary skill in the art, do not paying
On the premise of going out creative work, it is also possible to obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is the schematic flow sheet of a kind of based on Interest Similarity the recommendation method in the embodiment of the present invention；
Fig. 2 is the schematic flow sheet of recommendation based on the Interest Similarity method of the another kind in the embodiment of the present invention；
Fig. 3 is the structural representation of a kind of based on Interest Similarity the recommendation apparatus in the embodiment of the present invention；
Fig. 4 is the structural representation of the recommendation apparatus based on Interest Similarity of the another kind in the embodiment of the present invention.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clearly
Chu, be fully described by, it is clear that described embodiment be only a part of embodiment of the present invention rather than
Whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art are not making creation
The every other embodiment obtained under property work premise, broadly falls into the scope of protection of the invention.
It should be noted that the term used in embodiments of the present invention is only merely for describing specific embodiment
Purpose, and be not intended to be limiting the present invention.Used in the embodiment of the present invention and appended claims
" a kind of ", " described " and " being somebody's turn to do " of singulative is also intended to include most form, unless context understands
Ground represents other implications.It is also understood that term "and/or" used herein refer to and comprise one or
Any or all of multiple projects of listing being associated may combination.
The recommendation method of the application software of the embodiment of the present invention can apply to the applied software market of mobile terminal
Or shop etc. is any relates to the scene that application software is recommended.
Fig. 1 is the schematic flow sheet of the recommendation method based on Interest Similarity in the embodiment of the present invention, below
By combining accompanying drawing 1, a kind of based on Interest Similarity the recommendation method in the embodiment of the present invention is situated between in detail
Continue, as it is shown in figure 1, a kind of based on Interest Similarity the recommendation method in the present embodiment can include following
Step S101-step S104.
Step S101: obtain first user and the download information of application software of the second user, score information
Historical record.
Specifically, the download information of described application software includes title and the version of described downloading application software,
Marking mode in score information includes that the evaluations such as star scoring mechanism, 5 points of systems, ten point system or excellent poor system are excellent
The grading system of bad standard.Application software can be the APP on mobile terminal can also be the application on computer
Programs etc., the present invention is not especially limited.The terminal that i.e. application software can load can include mobile phone, flat board,
The internet devices etc. such as PAD, computer, notebook, the operation system of software in terminal then include Android, IOS,
Saipan, Windows, Unix type operating system, Linux type operating system, Mac operating system etc..
Step S102: according to described historical record, obtain described first user and the second user downloads simultaneously and
The difference of scoring application software in preset threshold range is as between described first user and the second user
Hobby similar application software.
Specifically, according to the history information obtained in step S101, obtain first user and the second user
The difference simultaneously downloaded and mark application software in preset threshold range is as described first user and second
Hobby similar application software between user, the application that i.e. acquisition first user and the second user downloaded is soft
Part, and first user and the second user difference of marking this application software is in default threshold range,
The hobby similar application software that described application software is judged as between first user and the second user.Can manage
Solving, therein first or second is used only for distinguishing user, does not represent some concrete user, no
User is specifically limited, and the predetermined threshold value of the difference marked can be entered according to concrete application scenarios
Row reasonably change.
Step S103: the described hobby similar application software number between described first user and the second user
During more than or equal to default value, then judge that between described first user and the second user, interest is similar.
Specifically, the hobby similar application between the first user judged in step S102 and the second user
When the number of software is more than default value, then can be determined that between first user and the second user, interest is similar.
Step S104: carry out friend recommendation between described first user and the second user that interest is similar or answer
With the recommendation of software.
Specifically, when judging that first user and the second user are the similar use of interest in step s 103
After family, then first user and the second user can be recommended, and the content recommended can be good friend,
Can be application software, it is also possible to be other product being associated with software application market.Push away when carrying out good friend
When recommending, being then to recommend the second user to first user, or recommend first user to the second user, user is permissible
Carry out paying close attention to or information contact by network social intercourse function；When carrying out the recommendation of application software, then be to
First user recommends the second user to download, but the application software that first user oneself is not downloaded, or to
Two users recommend first user to download, but the application software that the second user oneself does not downloads, and then improve
The accuracy recommended and efficiency.
The embodiment of the present invention, by recommendation method based on Interest Similarity, to the application between user
Download historical record and comment historical record contrasts, calculate the Interest Similarity between user, Jin Ergen
Between the user that interest is similar, carry out the recommendation applied according to result of calculation, improve accuracy and the effect of recommendation
Rate.
Fig. 2 is the schematic flow sheet of recommendation based on the Interest Similarity method of the another kind in the embodiment of the present invention,
Carry out below in conjunction with accompanying drawing 2 recommendation based on Interest Similarity to the another kind in embodiment of the present invention method
It is discussed in detail, as in figure 2 it is shown, a kind of based on Interest Similarity the recommendation method in the embodiment of the present invention can
To comprise the following steps S201-step S210.
Step S201: obtain first user and the download information of application software of the second user, score information
Historical record.
Specifically, the download information of described application software includes title and the version of described downloading application software,
Marking mode in score information includes that the evaluations such as star scoring mechanism, 5 points of systems, ten point system or excellent poor system are excellent
The grading system of bad standard.Application software can be the APP on mobile terminal can also be the application on computer
Programs etc., the present invention is not especially limited.The terminal that i.e. application software can load can include mobile phone, flat board,
The internet devices etc. such as PAD, computer, notebook, the operation system of software in terminal then include Android, IOS,
Saipan, Windows, Unix type operating system, Linux type operating system, Mac operating system etc..
Step S202: according to described historical record, gathers described first user and the application of the second user respectively
Software download, the list of comment.
Specifically, according in step S101 obtain history information, respectively gather obtain first user and
The application software of the second user is downloaded, the list of comment.Wherein list content specifically includes answering of user's download
With the title of software and version information and the scoring record of user's application software to being downloaded.
Step S203: by contrasting described first user and the second user application software download list, extract row
Application software identical in table.
Specifically, download according to the application software of the first user obtained in step S202 and the second user, comment
The list of opinion, extracting downloaded in the software download list of first user and the second user simultaneously and marked answers
Use software.
Step S204: for described identical application software, contrasts described first user and the second user is corresponding
Scoring record.
Specifically, first user and the second user according to extracting in step S203 were downloaded simultaneously and marked
Application software, contrast first user and the second user remember for the scoring of this same application software downloaded
Record, and calculate the scoring difference of first user and the second user.
Step S205: when the difference of described scoring is in preset threshold range, it is determined that described application software is
Hobby similar application software between first user and the second user.
Specifically, according to the result of the scoring difference calculated in step S204, extract scoring difference at default threshold
Application software in the range of value as the hobby similar application software between described first user and the second user,
I.e. obtain the application software that first user and the second user downloaded, and first user and the second user couple
Described application software, in default threshold range, is judged as first user by the scoring difference of this application software
And the hobby similar application software that second between user.It is understood that therein first or second only
For distinguishing user, do not represent some concrete user, user is not specifically limited, and mark
The predetermined threshold value of difference reasonably can change according to concrete application scenarios.
Step S206: pre-set the default value of described hobby similar application software.
Specifically, the default value of hobby similar application software is pre-set according to concrete application scenarios.
Step S207: judge the number of hobby similar application software between described first user and the second user.
Specifically, according to the judged result in step S205, the happiness between first user and the second user is calculated
The number of good similar application software.
Step S208: when the hobby similar application software judged between described first user and the second user
When number is more than or equal to described default value, then judge that between described first user and the second user, interest is similar.
Specifically, the hobby between the first user judged in step S207 and the second user is similar to
The number of application software is more than or equal to the default value of the hobby similar application software pre-set in step S206
Time, then judge that between first user and the second user, interest is similar to.Such as between first user and the second user
Hobby similar application software number be 8, and the default value liking similar application software is 6, then can determine whether
Between this first user and the second user, interest is similar.
Step S209: between first user and the second user that described interest is similar, recommends to first user
Second user or recommend first user to pay close attention to the second user.
Specifically, according to the judged result of step S208, emerging when judging between first user and the second user
After interest is similar, then can carry out the recommendation of good friend between first user and the second user that interest is similar,
I.e. recommend the second user to first user, or recommend first user, first user and second to use to the second user
Family can carry out paying close attention to or information contact by network social intercourse function, improves between the user that interest is similar
Exchange and mutual.It should be noted that the content recommended is corresponding with specific reference to the change work of application scenarios
Reasonably changing, the present invention is not specifically limited.
Step S210: between first user and the second user that described interest is similar, recommends to first user
The application software downloaded of the second user, or recommend the application downloaded of first user soft to the second user
Part.
Specifically, according to the judged result of step S208, emerging when judging between first user and the second user
After interest is similar, when carrying out the recommendation of application software, i.e. the second user is recommended to download to first user,
But the application software that first user oneself is not downloaded, or recommend first user to download to the second user, but
It is the application software oneself do not downloaded of the second user, and then improves the accuracy and efficiency recommended.Need explanation
Be, it is recommended that content with specific reference to application scenarios change make reasonably change accordingly, the present invention does not does
Concrete restriction.
The embodiment of the present invention, by recommendation method based on Interest Similarity, to the application between user
Download historical record and comment historical record contrasts, calculate the Interest Similarity between user, Jin Ergen
Between the user that interest is similar, carry out the recommendation applied according to result of calculation, improve accuracy and the effect of recommendation
Rate.
Fig. 3 is the structural representation of a kind of based on Interest Similarity the recommendation apparatus in the embodiment of the present invention,
In order to perform the flow process of a kind of based on Interest Similarity the recommendation method in above-mentioned embodiment illustrated in fig. 1.
Below in conjunction with accompanying drawing 3, to a kind of based on Interest Similarity the recommendation apparatus in the embodiment of the present invention
Structure describes in detail.This device 10 comprise the steps that data obtaining module the 101, first judge module 102,
Second judge module 103 and application recommending module 104.
Data obtaining module 101, for obtain first user and the second user application software download information,
The historical record of score information.
Specifically, the download information of described application software includes title and the version of described downloading application software,
Marking mode in score information includes that the evaluations such as star scoring mechanism, 5 points of systems, ten point system or excellent poor system are excellent
The grading system of bad standard.Application software can be the APP on mobile terminal can also be the application on computer
Programs etc., the present invention is not especially limited.The terminal that i.e. application software can load can include mobile phone, flat board,
The internet devices etc. such as PAD, computer, notebook, the operation system of software in terminal then include Android, IOS,
Saipan, Windows, Unix type operating system, Linux type operating system, Mac operating system etc..
First judge module 102, for according to described historical record, obtains described first user and the second user
The difference simultaneously downloaded and mark application software in preset threshold range is as described first user and second
Hobby similar application software between user.
Specifically, according in data obtaining module 101 obtain history information, obtain first user and
Second user downloads simultaneously and the difference the marked application software in preset threshold range is used as described first
Hobby similar application software between family and the second user, i.e. obtains first user and the second user downloaded
Application software, and this application software marked difference in default threshold value by first user and the second user
In the range of, the hobby similar application software that described application software is judged as between first user and the second user.
It is understood that therein first or second is used only for distinguishing user, does not represent concrete some and use
Family, does not specifically limit user, and the predetermined threshold value of the difference marked can be according to concrete application
Scene reasonably changes.
Second judge module 103, seemingly should for the described hobby class between described first user and the second user
During with software number more than or equal to default value, then judge interest phase between described first user and the second user
Seemingly
Specifically, the hobby between the first user judged in the first judge module 102 and the second user
When the number of similar application software is more than default value, then can be determined that between first user and the second user emerging
Interest is similar.
Application recommending module 104, for carrying out between described first user and the second user that interest is similar
Friend recommends or the recommendation of application software.
Specifically, when judging that in the second judge module 103 first user and the second user are similar for interest
As after user, then first user and the second user can be recommended, and the content recommended can be
Good friend, can be application software, it is also possible to be other product being associated with software application market.When carry out
During friend recommendation, then it is to recommend the second user to first user, or recommends first user to the second user, use
Family can carry out paying close attention to or information contact by network social intercourse function；When carrying out the recommendation of application software,
It is then to recommend the second user to download to first user, but the application software that first user oneself is not downloaded,
Or recommend first user to download to the second user, but the application software that the second user oneself does not downloads, enter
And improve accuracy and the efficiency of recommendation.
The embodiment of the present invention, by recommendation method based on Interest Similarity, to the application between user
Download historical record and comment historical record contrasts, calculate the Interest Similarity between user, Jin Ergen
Between the user that interest is similar, carry out the recommendation applied according to result of calculation, improve accuracy and the effect of recommendation
Rate.
Fig. 4 is the structural representation of the recommendation apparatus based on Interest Similarity of the another kind in the embodiment of the present invention,
In order to perform the flow process of another kind recommendation based on the Interest Similarity method in above-mentioned embodiment illustrated in fig. 2.
Below in conjunction with accompanying drawing 4, recommendation apparatus based on Interest Similarity to the another kind in the embodiment of the present invention
Structure describe in detail.This device 20 comprise the steps that data obtaining module the 201, first judge module 202,
Second judge module 203 and application recommending module 204；Described first judge module 202 comprises the steps that collection is single
Unit 2021, extraction unit 2022, contrast unit 2023 and the first identifying unit 2024；Described second judges
Module 203 comprises the steps that preset unit 2031, judging unit 2032 and the second identifying unit 2033；Described
Application recommending module 204 comprises the steps that user's recommendation unit 2041 and application recommendation unit 2042.
Data obtaining module 201, for obtain first user and the second user application software download information,
The historical record of score information.
Wherein the data obtaining module 201 in device can perform and Method Of Accomplishment step S201 in all sides
Method and flow process, do not repeat them here.
First judge module 202 comprises the steps that collecting unit 2021, extraction unit 2022, contrast unit 2023
With the first identifying unit 2024.
Collecting unit 2021, for according to described historical record, gathers described first user and second respectively and uses
The application software at family is downloaded, the list of comment；
Extraction unit 2022, is used for by contrasting described first user and the second user application software download list,
Extract application software identical in list；
Contrast unit 2023, for for described identical application software, contrasts described first user and second
The scoring record that user is corresponding；
First identifying unit 2024, for when the difference of described scoring is in preset threshold range, it is determined that institute
Stating application software is the hobby similar application software between first user and the second user.
Unit 2021 to 2024 that wherein the first judge module 202 in device comprises can perform and complete
All methods in method step S202 to S205 and flow process, do not repeat them here.
Second judge module 203 comprises the steps that preset unit 2031, judging unit 2032 and the second identifying unit
2033。
Preset list 2031 yuan, for pre-setting the default value of described hobby similar application software；
Judging unit 2032, for judging that the hobby similar application between described first user and the second user is soft
The number of part；
Second identifying unit 2033, for when the hobby class judged between described first user and the second user
Like application software number more than or equal to described default value time, then judge described first user and the second user
Between interest similar.
Unit 2031 to 2033 that wherein the second judge module 203 in device comprises can perform and complete
All methods in method step S206 to S208 and flow process, do not repeat them here.
Application recommending module 204 comprises the steps that user's recommendation unit 2041 and application recommendation unit 2042.
User's recommendation unit 2041, is used between first user and the second user that described interest is similar, to
First user is recommended the second user or recommends first user to pay close attention to the second user；
Application recommendation unit 2042, is used between first user and the second user that described interest is similar, to
First user recommends the application software downloaded of the second user, or recommends first user to the second user
The application software downloaded.
Unit 2041 to 2042 that wherein the application recommending module 204 in device comprises can perform and complete
All methods in method step S209 to S210 and flow process, do not repeat them here.
The embodiment of the present invention, by recommendation method based on Interest Similarity, to the application between user
Download historical record and comment historical record contrasts, calculate the Interest Similarity between user, Jin Ergen
Between the user that interest is similar, carry out the recommendation applied according to result of calculation, improve accuracy and the effect of recommendation
Rate.
Although it should be appreciated that use term first, second grade to describe user, method or unit herein,
But these methods or unit should should not be limited by these terms, and these terms are only applied to be distinguished from each other.
It is to be further understood that it is used in the present context, unless exceptional case, odd number shape clearly supported in context
Formula " one " (" a ", " an " and " the ") is intended to also include plural form.Should also be understood that
"and/or" used herein refers to any of or more than one project listed explicitly
With likely combine.
One of ordinary skill in the art will appreciate that all or part of flow process realizing in above-described embodiment method,
Can be by computer program and complete to instruct relevant hardware, described program can be stored in a calculating
In machine read/write memory medium, this program is upon execution, it may include such as the flow process of the embodiment of above-mentioned each method.
Wherein, described storage medium can be magnetic disc, CD, read-only store-memory body (Read-Only Memory,
Or random store-memory body (Random Access Memory, RAM) etc. ROM).
Above disclosed only one preferred embodiment of the present invention, can not limit this with this certainly
Bright interest field, one of ordinary skill in the art will appreciate that all or part of stream realizing above-described embodiment
Journey, and according to the equivalent variations that the claims in the present invention are made, still fall within the scope that invention is contained.
Claims (10)
1. a recommendation method based on Interest Similarity, it is characterised in that including:
Obtain first user and the download information of application software of the second user, the historical record of score information；
According to described historical record, obtain described first user and difference that the second user downloads simultaneously and marks
Application software in preset threshold range seemingly should as the hobby class between described first user and the second user
Use software；
Described hobby similar application software number between described first user and the second user is more than or equal to pre-
If during numerical value, then judge that between described first user and the second user, interest is similar；
Pushing away of friend recommendation or application software is carried out between described first user and the second user that interest is similar
Recommend.
2. the method for claim 1, it is characterised in that described according to described historical record, obtains
Described first user and the second user download and the difference the marked application software in preset threshold range simultaneously
As the hobby similar application software between described first user and the second user, including:
According to described historical record, the application software gathering described first user and the second user respectively downloads,
The list of comment；
By contrasting described first user and the second user application software download list, extract in list identical
Application software；
For described identical application software, contrast described first user and scoring record corresponding to the second user；
When the difference of described scoring is in preset threshold range, it is determined that described application software be first user and
Hobby similar application software between second user.
3. the method for claim 1, it is characterised in that described when described first user and second use
When described hobby similar application software number between family is more than or equal to default value, then judge that described first uses
Between family and the second user, interest is similar, including:
Pre-set the default value of described hobby similar application software；
Judge the number of hobby similar application software between described first user and the second user；
When the number of the hobby similar application software judged between described first user and the second user is more than
When described default value, then judge that between described first user and the second user, interest is similar.
4. the method for claim 1, it is characterised in that described described first use similar in interest
The recommendation of friend recommendation or application software is carried out between family and the second user, including:
Between first user and the second user that described interest is similar, to first user recommend the second user or
First user is recommended to pay close attention to the second user；Or
Between first user and the second user that described interest is similar, recommend the second user's to first user
The application software downloaded, or the application software downloaded of first user is recommended to the second user.
5. the method as described in claim 1-4 any one, it is characterised in that under described application software
Information carrying breath includes title and the version of described downloading application software.
6. a recommendation apparatus based on Interest Similarity, it is characterised in that including:
Data obtaining module, for obtaining the download information of the application software of first user and the second user, commenting
Divide the historical record of information；
First judge module, for according to described historical record, obtains described first user and the second user is same
Time download and the difference application software in preset threshold range of scoring is used as described first user and second
Hobby similar application software between family；
Second judge module, for the described hobby similar application between described first user and the second user
When software number is more than or equal to default value, then judge that between described first user and the second user, interest is similar；
Application recommending module, for carrying out good friend between described first user and the second user that interest is similar
Recommend or the recommendation of application software.
7. device as claimed in claim 6, it is characterised in that described first judge module, including:
Collecting unit, for according to described historical record, gathers described first user and the second user respectively
Application software is downloaded, the list of comment；
Extraction unit, for by contrasting described first user and the second user application software download list, carrying
Take application software identical in list；
Contrast unit, for for described identical application software, contrasts described first user and the second user
Corresponding scoring record；
First identifying unit, for when the difference of described scoring is in preset threshold range, it is determined that described should
It is the hobby similar application software between first user and the second user with software.
8. device as claimed in claim 6, it is characterised in that described second judge module, including:
Preset unit, for pre-setting the default value of described hobby similar application software；
Judging unit, for judging hobby similar application software between described first user and the second user
Number；
Second identifying unit, for when judging that the hobby class between described first user and the second user seemingly should
During by the number of software more than or equal to described default value, then judge between described first user and the second user
Interest is similar.
9. device as claimed in claim 6, it is characterised in that described application recommending module, including:
User's recommendation unit, between first user and the second user that described interest is similar, to first
User recommends the second user or recommends first user to pay close attention to the second user；
Application recommendation unit, between first user and the second user that described interest is similar, to first
User recommends the application software downloaded of the second user, or recommends the download of first user to the second user
Application software.
10. the device as described in claim 6-9 any one, it is characterised in that under described application software
Information carrying breath includes title and the version of described downloading application software.
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| CN201510080346.1A CN105989106A (en) | 2015-02-12 | 2015-02-12 | Recommendation method and device based on interest similarity |
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| CN201510080346.1A CN105989106A (en) | 2015-02-12 | 2015-02-12 | Recommendation method and device based on interest similarity |
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