CN105989107A - Application recommendation method and device - Google Patents
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- CN105989107A CN105989107A CN201510080383.2A CN201510080383A CN105989107A CN 105989107 A CN105989107 A CN 105989107A CN 201510080383 A CN201510080383 A CN 201510080383A CN 105989107 A CN105989107 A CN 105989107A
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Abstract
The embodiment of the invention discloses an application recommendation method and device. The method comprises the following steps: acquiring a score record of a user to at least one first application software and attribute information of at least one first application software; extracting the attribute information of the first application software corresponding to the score higher than the score threshold value from the score of at least one first application software according to a preset score threshold value; recommending the second application software with high similarity match degree with the attribute information to the user according to the attribute information of the first application software corresponding to the score higher than the score threshold value. Through the adoption of the method and device disclosed by the invention, the application software can be intelligently recommended to the user according to the comment feedback of the user, and the recommendation efficiency and accuracy are improved.
Description
Technical field
The present invention relates to data processing field, particularly relate to a kind of application and recommend method and device.
Background technology
Along with developing rapidly of wide development of Mobile Internet technology, people are highly desirable can whenever and wherever possible or even moving
Can obtain information and service easily from the Internet during Dong, mobile Internet arises at the historic moment and rapidly sends out
Exhibition.And the arrival of 3G the Internet so that developing rapidly and smart mobile phone general of domestic mobile phone electronic market
And change, and then promote the development in APP application and development market.Along with smart mobile phone each department at home
Universal, increasing netizen starts to have been transferred on mobile terminal device by traditional the Internet network access
Net.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.
And in software application market, the quality of application software is uneven, user interest differs, how from
Huge data obtain the effective information relevant with oneself, also becomes the eager demand of user.Current is soft
The part way of recommendation is mainly recommended to user at random according to the wish of developer, or according to user's
Download History carries out being associated or similar software is recommended, but both modes all to there is recommendation inaccurate
Find the software situation that not up to expection requires after really causing user's erroneous administration of purgatives to carry or downloading, will certainly waste soft
Part downloads the substantial amounts of time and efforts of user, produces poor to the misleading of user and the experience of user.
Summary of the invention
Embodiment of the present invention technical problem to be solved is, it is provided that method and device is recommended in a kind of application,
By extracting the comment of user and feeding back according to the favorable comment of user, recommend application software for user intelligently, carry
The high efficiency recommended and accuracy.
First aspect, embodiments provides a kind of application recommendation method, including:
Gather user soft to scoring record and at least one first application described of at least one the first application software
The attribute information of part；
According to default scoring threshold value, extract from the scoring record of at least one the first application software described and be higher than
The attribute information of first application software corresponding to scoring of described scoring threshold value；
According to the described attribute information higher than the first application software corresponding to the scoring of described scoring threshold value, will
Second application software high with described attribute information Similarity matching degree recommends described user.
In conjunction with first aspect, in the implementation that the first is possible, described attribute information includes: apply soft
The title of part and version, applied software development person, the type of application software, the description key word of application software,
At least one in the average score of application software or the average download time of application software.
In conjunction with first aspect, in the implementation that the second is possible, the scope position of described default scoring threshold value
In described user, at least one first application software is marked in the scoring scope in record.
Can in conjunction with the first possible implementation of first aspect or first aspect or the second of first aspect
The implementation of energy, in the implementation that the third is possible, higher than described scoring threshold value described in described basis
The attribute information of the first application software corresponding to scoring, by high with described attribute information Similarity matching degree
Second application software recommends described user, including:
The threshold value of the information that sets a property Similarity matching degree；
The attribute information calculating application software is answered higher than first corresponding to the scoring of described scoring threshold value with described
By the Similarity matching angle value between the attribute information of software；
When described Similarity matching angle value is more than or equal to the threshold value of described attribute information Similarity matching degree, then judge
Going out described application software is the second application software；
Described second application software is recommended described user.
In conjunction with in the third possible implementation of first aspect, in the 4th kind of possible implementation,
Described second application software includes that described user does not downloads the application software of installation.
Second aspect, embodiments provides a kind of application recommendation apparatus, including:
Information acquisition module, for gathering user to the scoring record of at least one the first application software and described
The attribute information of at least one the first application software；
Information extraction modules, for according to presetting scoring threshold value, from least one the first application software described
Scoring record extracts the attribute information of the first application software corresponding to scoring higher than described scoring threshold value；
Software recommending module, for applying higher than first corresponding to the scoring of described scoring threshold value according to described
The attribute information of software, recommends described by the second application software high with described attribute information Similarity matching degree
User.
In conjunction with second aspect, in the implementation that the first is possible, described attribute information includes: apply soft
The title of part and version, applied software development person, the type of application software, the description key word of application software,
At least one in the average score of application software or the average download time of application software.
In conjunction with second aspect, in the implementation that the second is possible, the scope position of described default scoring threshold value
In described user, at least one first application software is marked in the scoring scope in record.
Can in conjunction with the first possible implementation of second aspect or second aspect or the second of second aspect
The implementation of energy, in the implementation that the third is possible, described software recommending module, including:
Threshold setting unit, for the threshold value of the information Similarity matching degree that sets a property；
Matching primitives unit, for calculating the attribute information of application software with described higher than described scoring threshold value
Similarity matching angle value between the attribute information of the first application software corresponding to scoring；
Matching judgment unit, for when described Similarity matching angle value is more than or equal to described attribute information Similarity matching
During the threshold value spent, then judge that described application software is the second application software；
Software recommendation unit, for recommending described user by described second application software.
In conjunction with second aspect, in the 4th kind of possible implementation, described second application software includes described
User does not downloads the application software of installation.
Implement the embodiment of the present invention, have the advantages that
The embodiment of the present invention, by application recommendation method, by extracting the comment of user and arranging favorable comment
Threshold value, exceedes the attribute information commenting on corresponding application software of threshold value, is user intelligently according to user
Recommend the application software that quality is similar, improve and recommend efficiency and accuracy.
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 that method is recommended in a kind of application in the embodiment of the present invention；
Fig. 2 is the schematic flow sheet of the another kind of application recommendation method in the embodiment of the present invention；
Fig. 3 is a kind of structural representation applying recommendation apparatus in the embodiment of the present invention；
Fig. 4 is the structural representation of the another kind of application recommendation apparatus 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 application recommendation method in the embodiment of the present invention, below in conjunction with accompanying drawing 1
A kind of application recommendation method in the embodiment of the present invention is described in detail, as it is shown in figure 1, the present embodiment
In a kind of application recommendation method may comprise steps of S101-step S103.
Step S101: gather user to the scoring record of at least one the first application software and described at least one
The attribute information of the first application software.
Specifically, gather and record historical usage software and attribute information thereof that user comment is crossed, i.e. gather use
At least one first application software is marked and is recorded and the attribute information of the first corresponding application software, institute by family
State attribute information to include: the title of application software and version, applied software development person, the type of application software,
In description key word, the average score of application software or the average download time of application software of application software extremely
Few one.Scoring includes the evaluation quality standards such as star scoring mechanism, 5 points of systems, ten point system or excellent poor system
Grading system.It should be noted that application software can be the APP on mobile terminal can also be on computer
Application program etc., i.e. application software can be installed on and include Android, IOS, Saipan, Windows, Unix
In the terminal of type operating system, Linux type operating system, Mac operating system etc., terminal then comprises the steps that
Mobile phone, removable computer, panel computer, personal digital assistant (Personal Digital Assistant, PDA),
The subscriber equipmenies such as media player, intelligent television, intelligent watch, intelligent glasses, Intelligent bracelet, the present invention
It is not especially limited.
Step S102: according to default scoring threshold value, from the scoring record of at least one the first application software described
Middle extraction is higher than the attribute information of first application software corresponding to scoring of described scoring threshold value.
Specifically, according to the scoring record of application software of the user gathered in step S101 and application accordingly
The scoring threshold value that the attribute information of software basis pre-set, from the application software gathered, extracts user
Scoring higher than the application software of predetermined threshold value, and extract the attribute information of this software.It is understood that
Preset scoring threshold value scope should be positioned at user at least one first application software mark record in scoring
In scope, the scope of the scoring of the application software that such as user comment is crossed 3 to 4/, then can will comment
Point threshold value is arranged on 3 to 4/.Such as scoring threshold value is set to 3.8 points, then that is crossed by user comment should
Extract with application software as first with the application software of more than 3.8 points in software, and extract this application
The attribute information of software.
Step S103: according to the described genus higher than the first application software corresponding to the scoring of described scoring threshold value
Property information, recommends described user by the second application software high with described attribute information Similarity matching degree.
Specifically, according to the attribute information of the application software obtained in step S102, under user is not also carried out
In the application software carried, the application software high with described attribute information Similarity matching degree pushes away as the second application software
Recommending to user, its scope mainly includes that user does not downloads the application software of installation.Wherein attribute information is similar
Matching degree can calculate according to the weighted value of each attribute in attribute information.Such as, it is all a certain family
The product that software supplier's design is produced, its quality can be considered as being similar to；And the phase of the type of application software
Same then can to represent application software be same type of；Describe key word and may indicate that the emphasis of software and interior
Hold similar；The average mark of application software represents numerous user favorable comment degree to this software, then can represent this should
By the quality of software.According to the weighted value of each attribute information, can be applied between software with primary Calculation
The most similar, thus judge whether this application software may be interested in by user, so to user recommend with
Exceed the application software that the application software attribute of scoring threshold value is similar.It should be noted that according to application
When the attribute information calculating Similarity matching of software is spent, can be according to actual application scenarios to each attribute information
Weighted value is adjusted.Such as, when the type assert software more can represent the similar characteristic of software attributes,
Then arranged by the weighted value of the feature of the type of software is higher；When assert user's average score to this software
The similarity of software can not be embodied, then according to practical situations, the weighted value of this attribute character can be reduced,
It is understood that the algorithm of different Similarity matching degree can be used according to different application scenarios, this
Bright it is not especially limited.
The embodiment of the present invention, by application recommendation method, by extracting the comment of user and arranging favorable comment
Threshold value, exceedes the attribute information commenting on corresponding application software of threshold value, is user intelligently according to user
Recommend the application software that quality is similar, improve and recommend efficiency and accuracy.
Fig. 2 is the schematic flow sheet of the another kind of application recommendation method in the embodiment of the present invention, below in conjunction with
Another kind of application recommendation method in the embodiment of the present invention is described in detail by accompanying drawing 2, as in figure 2 it is shown,
A kind of application recommendation method in the embodiment of the present invention may comprise steps of S201-step S206.
Step S201: gather user to the scoring record of at least one the first application software and described at least one
The attribute information of the first application software.
Specifically, gather and record historical usage software and attribute information thereof that user comment is crossed, i.e. gather use
At least one first application software is marked and is recorded and the attribute information of the first corresponding application software, institute by family
State attribute information to include: the title of application software and version, applied software development person, the type of application software,
In description key word, the average score of application software or the average download time of application software of application software extremely
Few one.Scoring includes the evaluation quality standards such as star scoring mechanism, 5 points of systems, ten point system or excellent poor system
Grading system.It should be noted that application software can be the APP on mobile terminal can also be on computer
Application program etc., i.e. application software can be installed on and include Android, IOS, Saipan, Windows, Unix
In the terminal of type operating system, Linux type operating system, Mac operating system etc., terminal then comprises the steps that
Mobile phone, removable computer, panel computer, personal digital assistant (Personal Digital Assistant, PDA),
The subscriber equipmenies such as media player, intelligent television, intelligent watch, intelligent glasses, Intelligent bracelet, the present invention
It is not especially limited.
Step S202: according to default scoring threshold value, from the scoring record of at least one the first application software described
Middle extraction is higher than the attribute information of first application software corresponding to scoring of described scoring threshold value.
Specifically, according to the scoring record of application software of the user gathered in step S201 and application accordingly
The scoring threshold value that the attribute information of software basis pre-set, from the application software gathered, extracts user
Scoring higher than the application software of predetermined threshold value, and extract the attribute information of this software.It is understood that
Preset scoring threshold value scope should be positioned at user at least one first application software mark record in scoring
In scope, the scope of the scoring of the application software that such as user comment is crossed 3 to 4/, then can will comment
Point threshold value is arranged on 3 to 4/.Such as, scoring threshold value is set to 3.8 points, then crossed by user comment
The application software of more than 3.8 points in application software extracts with application software as first, and extracts and should answer
With the attribute information of software.
Step S203: the threshold value of the information that sets a property Similarity matching degree.
Specifically, the threshold value of Similarity matching degree of the information that sets a property according to actual application scenarios, work as judgement
When going out Similarity matching degree more than this threshold value, then can determine whether that different application software belongs to for described user mutually seemingly should
With software, otherwise it is judged to dissimilar application software.Such as, it is 8 when the threshold value of attribute information Similarity matching degree
Timesharing (wherein Similarity matching degree maximum is 10), then be more than by the attribute information Similarity matching degree after calculating
During equal to 8, then judge between this application software for described user for similar, be otherwise judged as dissmilarity.
Step S204: the attribute information calculating application software is right higher than the scoring of described scoring threshold value institute with described
Similarity matching angle value between the attribute information of the first application software answered.
Specifically, according to the threshold value of the attribute information Similarity matching degree arranged in step S203, and attribute is combined
Information calculates the attribute information of application software and answers higher than first corresponding to the scoring of described scoring threshold value with described
By the Similarity matching angle value between the attribute information of software.Wherein the Similarity matching degree of attribute information can basis
The weighted value of each attribute in attribute information calculates.Such as, it is all a certain software supplier to set
The product that meter is produced, its quality can be considered as being similar to；The type of application software identical, can represent should
It is same type of with software；Describe key word and may indicate that the emphasis of software is similar with content；Apply soft
The average mark of part represents numerous user favorable comment degree to this software, then can represent the quality of this application software.
According to the weighted value of each attribute information, can be applied with primary Calculation the most similar between software, from
And judge whether this application software may be interested in by user, and then recommend to user and exceed scoring threshold value
The application software that application software attribute is similar.It should be noted that at the attribute information according to application software
When calculating Similarity matching is spent, according to actual application scenarios, the weighted value of each attribute information can be adjusted.
Such as, when the type assert software more can represent the similar characteristic of software attributes, then by the type of software
It is higher that the weighted value of feature is arranged；When assert that the average score of this software can not be embodied the class of software by user
Like property, then according to practical situations, the weighted value of this attribute character can be reduced, it is to be understood that
Can use the algorithm of different Similarity matching degree according to different application scenarios, the present invention is not especially limited.
Step S205: when described Similarity matching angle value is more than or equal to the threshold value of described attribute information Similarity matching degree
Time, then judge that described application software is the second application software.
Specifically, according to the Similarity matching degree between application software attribute information calculated in step S204
Value, it is judged that the Similarity matching angle value between application software, in the application software that user is not also downloaded
Soft higher than the application of the threshold value of the Similarity matching degree arranged in step S203 with described attribute information Similarity matching degree
Part is as second application software of described user.
Step S206: described second application software is recommended described user.
Specifically, the second application software that will determine that out recommends described user, i.e. remembers according to the favorable comment of user
The application software that user's quality is similar is recommended in record, download for reference, wherein the way of recommendation it may be that
Eye-catching mark display, bullet frame show or manually click on the forms such as display, and the present invention is not especially limited.
The embodiment of the present invention, by application recommendation method, by extracting the comment of user and arranging favorable comment
Threshold value, exceedes the attribute information commenting on corresponding application software of threshold value, is user intelligently according to user
Recommend the application software that quality is similar, improve and recommend efficiency and accuracy.
Fig. 3 is a kind of structural representation applying recommendation apparatus in the embodiment of the present invention, above-mentioned in order to perform
The flow process of method is recommended in a kind of application in embodiment illustrated in fig. 1.
Below in conjunction with accompanying drawing 3, a kind of structure applying recommendation apparatus in the embodiment of the present invention is carried out in detail
Introduce.This device 10 comprises the steps that mould recommended by information acquisition module 101, information extraction modules 102 and software
Block 103.
Information acquisition module 101, for gathering user to the scoring record of at least one the first application software and institute
State the attribute information of at least one the first application software；
Specifically, gather and record historical usage software and attribute information thereof that user comment is crossed, i.e. gather use
At least one first application software is marked and is recorded and the attribute information of the first corresponding application software, institute by family
State attribute information to include: the title of application software and version, applied software development person, the type of application software,
In description key word, the average score of application software or the average download time of application software of application software extremely
Few one.Scoring includes the evaluation quality standards such as star scoring mechanism, 5 points of systems, ten point system or excellent poor system
Grading system.It should be noted that application software can be the APP on mobile terminal can also be on computer
Application program etc., i.e. application software can be installed on and include Android, IOS, Saipan, Windows, Unix
In the terminal of type operating system, Linux type operating system, Mac operating system etc., terminal then comprises the steps that
Mobile phone, removable computer, panel computer, personal digital assistant (Personal Digital Assistant, PDA),
The subscriber equipmenies such as media player, intelligent television, intelligent watch, intelligent glasses, Intelligent bracelet, the present invention
It is not especially limited.
Information extraction modules 102, for according to presetting scoring threshold value, from least one first application software described
Scoring record in extract higher than described scoring threshold value the first application software corresponding to scoring attribute letter
Breath；
Specifically, according to the scoring record of application software and the phase of the user gathered in information acquisition module 101
The attribute information of the application software answered according to the scoring threshold value pre-set, from the application software gathered,
Extract the scoring application software higher than predetermined threshold value of user, and extract the attribute information of this software.Can manage
Solving, the scope presetting scoring threshold value should be positioned at user's scoring record at least one the first application software
In scoring scope in, the scope of the scoring of the application software that such as user comment is crossed 3 to 4/,
Then scoring threshold value can be arranged on 3 to 4/.Such as scoring threshold value is set to 3.8 points, then user commented
The application software of more than 3.8 points in the application software discussed extracts with application software as first, and carries
Take the attribute information of this application software.
Software recommending module 103, for answering higher than first corresponding to the scoring of described scoring threshold value according to described
With the attribute information of software, second application software high with described attribute information Similarity matching degree is recommended institute
State user.
Specifically, according to the attribute information of the application software obtained in information extraction modules 102, by user also
Application software high with described attribute information Similarity matching degree in the application software not being downloaded should as second
Recommending user with software, its scope mainly includes that user does not downloads the application software of installation.Wherein attribute letter
The Similarity matching degree of breath can calculate according to the weighted value of each attribute in attribute information.Such as, same
The product produced for a certain software supplier's design, its quality can be considered as being similar to；And application software
Type identical, it is same type of for can representing application software；Describe key word and may indicate that the side of software
Emphasis is similar with content；The average mark of application software represents numerous user favorable comment degree to this software, the most permissible
Represent the quality of this application software.According to the weighted value of each attribute information, can be applied with primary Calculation
Between software the most similar, thus judge whether this application software may be interested in by user, so to
The application software similar with the application software attribute exceeding scoring threshold value is recommended at family.It should be noted that
When attribute information calculating Similarity matching according to application software is spent, according to actual application scenarios, each can be belonged to
The weighted value of property information is adjusted.Such as, when the type assert software, more to represent software attributes similar
During characteristic, then arranged by the weighted value of the feature of the type of software is higher；When assert that user is to this software
Average score can not embody the similarity of software, then can be according to practical situations, by the power of this attribute character
Weight values reduces, it is to be understood that can use different Similarity matching degree according to different application scenarios
Algorithm, the present invention is not especially limited.
The embodiment of the present invention, by application recommendation method, by extracting the comment of user and arranging favorable comment
Threshold value, exceedes the attribute information commenting on corresponding application software of threshold value, is user intelligently according to user
Recommend the application software that quality is similar, improve and recommend efficiency and accuracy.
Fig. 4 is the structural representation of the another kind of application recommendation apparatus in the embodiment of the present invention, on performing
State the another kind of flow process applying recommendation method in embodiment illustrated in fig. 2.
Below in conjunction with accompanying drawing 4, the structure of the another kind of application recommendation apparatus in the embodiment of the present invention is carried out in detail
Thin introduction.This device 20 comprises the steps that information acquisition module 201, information extraction modules 202 and software are recommended
Module 203.Described software recommending module 203 comprises the steps that threshold setting unit 2031, matching primitives unit
2032, matching judgment unit 2033 and software recommendation unit 2034.
Information acquisition module 201, for gathering user to the scoring record of at least one the first application software and institute
State the attribute information of at least one the first application software；
Wherein the information acquisition module 201 in device can perform and Method Of Accomplishment step S201 in all sides
Method and flow process, do not repeat them here.
Information extraction modules 202, for according to presetting scoring threshold value, from least one first application software described
Scoring record in extract higher than described scoring threshold value the first application software corresponding to scoring attribute letter
Breath；
Wherein the information extraction modules 202 in device can perform and Method Of Accomplishment step S202 in all sides
Method and flow process, do not repeat them here.
Software recommending module 203 comprises the steps that threshold setting unit 2031, matching primitives unit 2032, coupling
Judging unit 2033 and software recommendation unit 2034.
Threshold setting unit 2031, for the threshold value of the information Similarity matching degree that sets a property；
Matching primitives unit 2032, for calculating the attribute information of application software with described higher than described scoring threshold
Similarity matching angle value between the attribute information of first application software corresponding to scoring of value；
Matching judgment unit 2033, is used for when described Similarity matching angle value is similar more than or equal to described attribute information
During the threshold value of matching degree, then judge that described application software is the second application software；
Software recommendation unit 2034, for recommending described user by described second application software.
Unit 2031 to 2034 that wherein the software recommending module 203 in device comprises can perform and complete
All methods in method step S203 to S206 and flow process, do not repeat them here.
The embodiment of the present invention, by application recommendation method, by extracting the comment of user and arranging favorable comment
Threshold value, exceedes the attribute information commenting on corresponding application software of threshold value, is user intelligently according to user
Recommend the application software that quality is similar, improve and recommend efficiency and accuracy.
Although it should be appreciated that herein use term first, second grade describe application software, method or
Unit, but these methods or unit should should not be limited by these terms, and these terms are only applied to each other
Distinguish.It is to be further understood that it is used in the present context, unless exceptional case clearly supported in context,
Singulative " one " (" a ", " an " and " the ") is intended to also include plural form.Should also be appreciated that
It is that "and/or" used herein refers to one or more than one project listed explicitly
Arbitrarily and 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. an application recommendation method, it is characterised in that including:
Gather user soft to scoring record and at least one first application described of at least one the first application software
The attribute information of part；
According to default scoring threshold value, extract from the scoring record of at least one the first application software described and be higher than
The attribute information of first application software corresponding to scoring of described scoring threshold value；
According to the described attribute information higher than the first application software corresponding to the scoring of described scoring threshold value, will
Second application software high with described attribute information Similarity matching degree recommends described user.
2. the method for claim 1, it is characterised in that described attribute information includes: application software
Title and version, applied software development person, the type of application software, the description key word of application software,
At least one in the average score of application software or the average download time of application software.
3. the method for claim 1, it is characterised in that the scope of described default scoring threshold value is positioned at
At least one first application software is marked in the scoring scope in record by described user.
4. the method as described in claim 1-3 any one, it is characterised in that be higher than described in described basis
The attribute information of first application software corresponding to scoring of described scoring threshold value, will be with described attribute information phase
Second application software high like matching degree recommends described user, including:
The threshold value of the information that sets a property Similarity matching degree；
The attribute information calculating application software is answered higher than first corresponding to the scoring of described scoring threshold value with described
By the Similarity matching angle value between the attribute information of software；
When described Similarity matching angle value is more than or equal to the threshold value of described attribute information Similarity matching degree, then judge
Going out described application software is the second application software；
Described second application software is recommended described user.
5. method as claimed in claim 4, it is characterised in that described second application software includes described use
The application software of installation is not downloaded at family.
6. an application recommendation apparatus, it is characterised in that including:
Information acquisition module, for gathering user to the scoring record of at least one the first application software and described
The attribute information of at least one the first application software；
Information extraction modules, for according to presetting scoring threshold value, from least one the first application software described
Scoring record extracts the attribute information of the first application software corresponding to scoring higher than described scoring threshold value；
Software recommending module, for applying higher than first corresponding to the scoring of described scoring threshold value according to described
The attribute information of software, recommends described by the second application software high with described attribute information Similarity matching degree
User.
7. device as claimed in claim 6, it is characterised in that described attribute information includes: application software
Title and version, applied software development person, the type of application software, the description key word of application software,
At least one in the average score of application software or the average download time of application software.
8. device as claimed in claim 6, it is characterised in that the scope of described default scoring threshold value is positioned at
At least one first application software is marked in the scoring scope in record by described user.
9. the device as described in claim 6-8 any one, it is characterised in that described software recommending module,
Including:
Threshold setting unit, for the threshold value of the information Similarity matching degree that sets a property；
Matching primitives unit, for calculating the attribute information of application software with described higher than described scoring threshold value
Similarity matching angle value between the attribute information of the first application software corresponding to scoring；
Matching judgment unit, for when described Similarity matching angle value is more than or equal to described attribute information Similarity matching
During the threshold value spent, then judge that described application software is the second application software；
Software recommendation unit, for recommending described user by described second application software.
10. device as claimed in claim 9, it is characterised in that described second application software includes described
User does not downloads the application software of installation.
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| CN108307039A (en) * | 2017-12-21 | 2018-07-20 | 维沃移动通信有限公司 | A kind of application message methods of exhibiting and mobile terminal |
| CN109002482A (en) * | 2018-06-22 | 2018-12-14 | 珠海市君天电子科技有限公司 | A kind of software recommendation method, device, electronic equipment and storage medium |
| CN109189892A (en) * | 2018-09-17 | 2019-01-11 | 北京点网聚科技有限公司 | A kind of recommended method and device based on article review |
| CN109377263A (en) * | 2018-09-20 | 2019-02-22 | 阿里巴巴集团控股有限公司 | The methods of exhibiting and device of application message |
| CN110399190A (en) * | 2019-06-21 | 2019-11-01 | 北京奇艺世纪科技有限公司 | Page display method, device, terminal device and computer-readable medium |
| CN113950678A (en) * | 2019-07-26 | 2022-01-18 | 深圳市欢太科技有限公司 | Application pushing method and related device |
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| CN115016855A (en) * | 2021-11-17 | 2022-09-06 | 荣耀终端有限公司 | Application preloading method, device and storage medium |
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