CN107301585A - A kind of recommendation method, system and equipment applied based on real-time dynamic interactive scene - Google Patents

A kind of recommendation method, system and equipment applied based on real-time dynamic interactive scene Download PDF

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Publication number
CN107301585A
CN107301585A CN201710418316.6A CN201710418316A CN107301585A CN 107301585 A CN107301585 A CN 107301585A CN 201710418316 A CN201710418316 A CN 201710418316A CN 107301585 A CN107301585 A CN 107301585A
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information
application program
time
program
opened
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毛敏
张晶
郭骅
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Beijing Huaxia Technology Co Ltd
Beijing Si Rui Rui Intelligent Technology Research Institute Co Ltd
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Beijing Huaxia Technology Co Ltd
Beijing Si Rui Rui Intelligent Technology Research Institute Co Ltd
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Priority to CN201710418316.6A priority Critical patent/CN107301585A/en
Publication of CN107301585A publication Critical patent/CN107301585A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0631Item recommendations

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  • Accounting & Taxation (AREA)
  • Finance (AREA)
  • Development Economics (AREA)
  • Economics (AREA)
  • Marketing (AREA)
  • Strategic Management (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The present embodiments relate to intelligent recommendation technical field, a kind of recommendation method applied based on real-time dynamic interactive scene, for mobile terminal, including:Real-time collecting user opens first information during the first application program;Taxonomic revision is carried out to the first information, and is ranked up, stores according to category preferences, information bank is stored as;Detect whether the second application program is opened;When second application program is opened, second application program obtains the second information now;Second information and described information storehouse are matched, and related application is recommended according to rule ordering set in advance.This method can accurately recommend related service according to custom or hobby.

Description

A kind of recommendation method, system and equipment applied based on real-time dynamic interactive scene
Technical field
The present invention relates to intelligent recommendation field, and in particular to a kind of recommendation method of real-time dynamic interactive scene application, System and equipment.
Background technology
The combination of people and mobile phone is the new species (hereinafter referred to as people) under nascent state, shopping online, it is social into The part lived for people, all kinds of service softwares that become more meticulous constantly are released to facilitate the life of people.People are according to demand Specialty APP is searched for, specific subfunction is found, then realizes purpose according to operating procedure.Gradually, it is only necessary to which an insertion is installed The APP of a variety of functions, without repeat install i.e. can be achieved multiple function.This pattern is more and more, is initially that people independently seek Function is looked for, later designer starts how thinking could improve Consumer's Experience, and commending system is indispensable, how preferably to push away Recommend and increasingly paid attention to.
Actively recommended for the function of representative with " the guessing that you like " of Taobao, KuGoo, youku.com etc., mainly realize function unified Recommend or half unified half personalized recommendation.
Many APP realize that function is unified and recommended or half unified half personalized recommendation at present, real category progress, but still exist Problem:Recommendation is non-required, and recommendation is single, can not accurately meet the actual demand of user.
The content of the invention
The embodiments of the invention provide a kind of recommendation method applied based on real-time dynamic interactive scene, system and set It is standby, it is single to solve existing APP recommendations, it is impossible to accurately to meet the technical problem of the actual demand of user.
A kind of recommendation method applied based on real-time dynamic interactive scene provided in an embodiment of the present invention, for mobile whole End, including:
Real-time collecting user opens first information during the first application program;
Taxonomic revision is carried out to the first information, and is ranked up, stores according to category preferences, information is stored as Storehouse;
Detect whether the second application program is opened;
When second application program is opened, second application program obtains the second information now;
Second information and described information storehouse are matched, and related application is recommended according to rule ordering set in advance.
Further, the first information includes:First time point information, first position information and described first should With the type information of program, opening time length information.
Further, it is described that taxonomic revision is carried out to the first information, and be ranked up, deposit according to category preferences Storage, is stored as information bank, including:
The type information for first application program classified with time dimension is sorted out according to the first information;
The type information for first application program classified with location dimension is sorted out according to the first information;
According to time dimension is preferential or location dimension is preferentially ranked up, store, information bank is stored as.
Further, second information includes the second time point information, second place information.
Further, second time point information before the first time point information in the range of one hour after and/or The second place information is in 3 kilometers of the first position information radius;
According to the relation for meeting matching, then recommend and first program in second program according to correspondence priority Related service.
Further, the service beyond the type information of first application program is recommended to believe in second program Breath.
A kind of commending system applied based on real-time dynamic interactive scene provided in an embodiment of the present invention, including
Data collection module:First information during the first application program is opened for real-time collecting user;
Data preparation module:Taxonomic revision is carried out to the first information, and is ranked up, deposits according to category preferences Storage, is stored as information bank;
Using detection module:Detect whether the second application program is opened;When second application program is opened, institute State the second information of the second application program acquisition now;
Recommending module:Second information and described information storehouse are matched, and phase is recommended according to rule ordering set in advance Close application.
Further, the first information includes described in data collection module:First time point information, first position information, And type information, the opening time length information of first application program.
Further, the data preparation module includes:Sort out what is classified with time dimension according to the first information The type information of first application program;First application classified with location dimension is sorted out according to the first information The type information of program;According to time dimension is preferential or location dimension is preferentially ranked up, store, information bank is stored as.
Further, the recommending module includes:Second time point information is before and after the first time point information In the range of one hour and/or the second place information is in 3 kilometers of the first position information radius;Matched according to meeting Relation, the service related to first program is then recommended according to correspondence priority in second program.
A kind of electronic equipment provided in an embodiment of the present invention, including:
At least one processor;And,
The memory being connected with least one described processor communication;Wherein,
The memory storage has can be by the instruction of one computing device, and the instruction is by described at least one Manage device to perform, so that at least one described processor can:Real-time collecting user opens first information during the first application program;
Taxonomic revision is carried out to the first information, and is ranked up, stores according to category preferences, information is stored as Storehouse;
Detect whether the second application program is opened;
When second application program is opened, second application program obtains the second information now;
Second information and described information storehouse are matched, and related application is recommended according to rule ordering set in advance.
The present invention provides a kind of recommendation method, system and equipment applied based on real-time dynamic interactive scene, realizes Personalized multidimensional recommendation, the time that can be applied according to user's opening, position accurately filter out the demand of user, are practised according to user It is used to recommend corresponding function services.
Brief description of the drawings
Technical scheme in order to illustrate the embodiments of the present invention more clearly, makes required in being described below to embodiment Accompanying drawing is briefly introduced, it should be apparent that, drawings in the following description are only some embodiments of the present invention, for this For the those of ordinary skill in field, without having to pay creative labor, it can also be obtained according to these accompanying drawings His accompanying drawing.
Fig. 1 is the flow chart for recommending method described in one embodiment of the invention;
Fig. 2 is the hardware configuration connection diagram for the electronic equipment for recommending method described in one embodiment of the invention.
Embodiment
In order that the object, technical solutions and advantages of the present invention are clearer, below in conjunction with accompanying drawing the present invention is made into One step it is described in detail, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole implementation Example.Based on the embodiment in the present invention, what those of ordinary skill in the art were obtained under the premise of creative work is not made All other embodiment, belongs to the scope of protection of the invention.
The preferred embodiment that the invention will now be described in detail with reference to the accompanying drawings.
Embodiment 1
As shown in figure 1, a kind of recommendation method applied based on real-time dynamic interactive scene provided in an embodiment of the present invention, For mobile terminal, including:
Real-time collecting user opens first information during the first application program;The first information includes:First time point Information, the type information of first position information and first application program, opening time length information.For example open and order Eat APP, now, and record opens the temporal information of the APP that makes a reservation, using the geographical position of the alignment systems such as GPS, Big Dipper acquisition now Confidence is ceased, and the APP that makes a reservation is classified as into food and drink, and is counted in one day and opened the opening frequency of the APP, and open every time when The information such as long.
Taxonomic revision is carried out to the above-mentioned first information, and is ranked up, stores according to category preferences, information is stored as Storehouse;The type information for first application program classified with time dimension is sorted out according to the first information;According to described The first information sorts out the type information for first application program classified with location dimension;According to time dimension is preferential or position Put dimension to be preferentially ranked up, store, be stored as information bank.For example, with 2 hours for interval, carrying out the statistics of time dimension, 0 When, 2 when, 4 when ... when 22 be coordinate, by first time point information to be sorted out closer to that time point coordinates, for example 11:30 open the software of making a reservation, then are classified as 12 points of shelves;Meanwhile, the administrative region or commercial circle region shown with electronic map Geographical position classification, such as 11 are carried out for unit:30 open software of making a reservation at five road junctions, then geographical coordinate is classified as five road junction models Enclose.
Detect whether the second application program is opened;Second information includes the second time point information, second confidence Breath.When second application program is opened, second application program obtains the second information now;
Second information and described information storehouse are matched, and related application is recommended according to rule ordering set in advance.Institute The second time point information is stated before the first time point information in the range of one hour after and/or the second place information is in institute State in 3 kilometers of first position information radius;According to the relation for meeting matching, according to correspondence priority then in second program Recommend the service related to first program.For example, according to statistical analysis, the user is always 11:30 or so openings are made a reservation APP, then, once its point in the time range opens any APP, then it is the catering information near its recommendation;For another example user is total Point opens carwash service software in a certain region, then when user is located at 3 kilometers of the region with inner region, point is opened any APP, then pushed away Recommend the information on services related to automobile services.
Recommend the information on services beyond the type information of first application program in second program.
Intelligent recommendation service also includes networking and recommended, such as, by analysis, draws now or this place user is commonly used Game class application program, then when user's selection networking is recommended, mobile terminal connection network recommendation game class service.
A kind of intelligent recommendation method provided in an embodiment of the present invention so that mobile terminal can record user on different ground Point, different time intelligently judge what application user may somewhere use using the frequency height of application program Program, recommends related application, eliminates the worry for searching the application program needed, improves Consumer's Experience.
Embodiment 2
A kind of commending system applied based on real-time dynamic interactive scene provided in an embodiment of the present invention, including:
Data collection module:First information during the first application program is opened for real-time collecting user;First letter Breath includes:Type information, the opening time of first time point information, first position information and first application program are long Spend information.As opened the APP that makes a reservation, now, record opens the temporal information of the APP that makes a reservation, using alignment systems such as GPS, the Big Dippeves Geographical location information now is obtained, the APP that makes a reservation is classified as food and drink, and counts the opening frequency that the APP is opened in one day, And the information such as the duration opened every time.
Data preparation module:Taxonomic revision is carried out to the first information, and is ranked up, deposits according to category preferences Storage, is stored as information bank;Data preparation module includes:Described classified with time dimension is sorted out according to the first information The type information of one application program;First application program classified with location dimension is sorted out according to the first information Type information;According to time dimension is preferential or location dimension is preferentially ranked up, store, information bank is stored as.For example, small with 2 When for interval, carry out the statistics of time dimension, when 0,2 when, 4 when ... be coordinate when 22, by first time point information more to lean on That nearly time point coordinates is sorted out, and such as 11:30 open the software of making a reservation, then are classified as 12 points of shelves;Meanwhile, with electronics The administrative region or commercial circle region of map denotation are that unit carries out geographical position classification, such as 11:30 make a reservation in five road junctions opening Software, then geographical coordinate be classified as five road junction scopes.
Using detection module:Detect whether the second application program is opened;When second application program is opened, institute State the second information of the second application program acquisition now;
Recommending module:Second information and described information storehouse are matched, and phase is recommended according to rule ordering set in advance Close application.Second time point information is before the first time point information in the range of one hour after and/or the second Confidence is ceased in 3 kilometers of the first position information radius;According to the relation for meeting matching, according to correspondence priority then described Recommend the service related to first program in second program.For example, according to statistical analysis, the user is always 11:30 or so Opening is made a reservation APP, then, once its point in the time range opens any APP, then it is the catering information near it is recommended;Example again Such as, user always puts in a certain region and opens carwash service software, then when user is located at 3 kilometers of the region with inner region, point, which is opened, appoints One APP, then recommend the information on services related to automobile services.
A kind of intelligent recommendation system provided in an embodiment of the present invention so that mobile terminal can record user on different ground Point, different time intelligently judge what application user may somewhere use using the frequency height of application program Program, recommends related application, eliminates the worry for searching the application program needed, improves Consumer's Experience.
Embodiment 3
A kind of electronic equipment, including:At least one processor;And, it is connected with least one described processor communication Memory;Wherein, have can be by the instruction of one computing device for the memory storage, and the instruction is by described at least one Individual computing device, so that at least one described processor can:Real-time collecting user opens first during the first application program Information;Taxonomic revision is carried out to the first information, and is ranked up, stores according to category preferences, information bank is stored as;Inspection Survey whether the second application program is opened;When second application program is opened, second application program is obtained now The second information;Second information and described information storehouse are matched, and related application is recommended according to rule ordering set in advance.
Further, the computing device following procedure:The first information includes:First time point information, first Type information, the opening time length information of positional information and first application program.
It is described that taxonomic revision is carried out to the first information, and be ranked up according to category preferences, store, it is stored as letter Storehouse is ceased, including:
The type information for first application program classified with time dimension is sorted out according to the first information;According to The first information sorts out the type information for first application program classified with location dimension;It is preferential according to time dimension Or location dimension is preferentially ranked up, stored, and is stored as information bank.
Second information includes the second time point information, second place information.
Matching second information and described information storehouse, and related answer is recommended according to rule ordering set in advance With, including:Second time point information is before the first time point information in the range of one hour after and/or the second Confidence is ceased in 3 kilometers of the first position information radius;According to the relation for meeting matching, according to correspondence priority then described Recommend the service related to first program in second program.
Also include, further recommend the service beyond the type information of first application program in second program Information.
Embodiment 4
The embodiment of the present application provides a kind of nonvolatile computer storage media, and the computer-readable storage medium is stored with Computer executable instructions, the computer executable instructions can perform the recommendation method in above-mentioned any means embodiment.
Embodiment 5
Fig. 2 be the present embodiment provide execution park control method electronic equipment hardware architecture diagram, such as Fig. 2 institutes Show, the equipment includes:
In one or more processors 610 and memory 620, Fig. 2 by taking a processor 610 as an example.
The equipment of intelligent recommendation method can also include:Input unit 630 and output device 640.
Processor 610, memory 620, input unit 630 and output device 640 can pass through bus or other modes In connection, Fig. 2 exemplified by being connected by bus.
Memory 620 is as a kind of non-volatile computer readable storage medium storing program for executing, available for storage non-volatile software journey The corresponding programmed instruction of recommendation method in sequence, non-volatile computer executable program and module, such as the embodiment of the present application/ Module.Processor 610 is stored in non-volatile software program, instruction and module in memory 620 by operation, so as to hold The various function application of row server and data processing, that is, realize that above method embodiment recommends method.
Memory 620 can include storing program area and storage data field, wherein, storing program area can store operation system Application program required for system, at least one function;Storage data field can be stored according to using created number in recommendation method According to etc..In addition, memory 620 can include high-speed random access memory, nonvolatile memory can also be included, for example extremely A few disk memory, flush memory device or other non-volatile solid state memory parts.
Input unit 630 can receive the numeral or character information of input, and produce with the user of electronic equipment set with And the relevant key signals input of function control.Output device 640 may include the display devices such as display screen.
One or more of modules are stored in the memory 620, when by one or more of processors During 610 execution, the recommendation method in above-mentioned any means embodiment is performed.
The said goods can perform the method that the embodiment of the present application is provided, and possesses the corresponding functional module of execution method and has Beneficial effect.Not ins and outs of detailed description in the present embodiment, reference can be made to the method that the embodiment of the present application is provided.
The electronic equipment of the embodiment of the present invention exists in a variety of forms, includes but is not limited to:
(1) mobile communication equipment:The characteristics of this kind equipment is that possess mobile communication function, and to provide speech, data Communicate as main target.This Terminal Type includes:Smart mobile phone (such as iPhone), multimedia handset, feature mobile phone, and it is low Hold mobile phone etc..
(2) super mobile personal computer equipment:This kind equipment belongs to the category of personal computer, there is calculating and processing work( Can, typically also possess mobile Internet access characteristic.This Terminal Type includes:PDA, MID and UMPC equipment etc., such as iPad.
(3) portable entertainment device:This kind equipment can show and play content of multimedia.The kind equipment includes:Audio, Video player (such as iPod), handheld device, e-book, and intelligent toy and portable car-mounted navigation equipment.
(4) server:The equipment for providing the service of calculating, the composition of server is total including processor, hard disk, internal memory, system Line etc., server is similar with general computer architecture, but is due to need to provide highly reliable service, therefore in processing energy Require higher in terms of power, stability, reliability, security, scalability, manageability.
(5) other electronic installations with data interaction function, such as television set, vehicle-mounted large-size screen monitors.
Device embodiment described above is only schematical, wherein the unit illustrated as separating component can To be or may not be physically separate, the part shown as unit can be or may not be physics list Member, you can with positioned at a place, or can also be distributed on multiple NEs.It can be selected according to the actual needs In some or all of module realize the purpose of this embodiment scheme.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can Realized by the mode of software plus required general hardware platform, naturally it is also possible to pass through hardware.Understood based on such, on The part that technical scheme substantially in other words contributes to prior art is stated to embody in the form of software product, should Computer software product can be stored in a computer-readable storage medium, such as ROM/RAM, magnetic disc, CD, including some fingers Order is to cause a computer equipment (can be personal computer, server, or network equipment etc.) to perform each implementation Method described in some parts of example or embodiment.
Finally it should be noted that:The above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations;Although The present invention is described in detail with reference to the foregoing embodiments, it will be understood by those within the art that:It still may be used To be modified to the technical scheme described in foregoing embodiments, or equivalent substitution is carried out to which part technical characteristic; And these modification or replace, do not make appropriate technical solution essence depart from various embodiments of the present invention technical scheme spirit and Scope.

Claims (10)

1. a kind of recommendation method applied based on real-time dynamic interactive scene, for mobile terminal, it is characterised in that including:
Real-time collecting user opens first information during the first application program;
Taxonomic revision is carried out to the first information, and is ranked up, stores according to category preferences, information bank is stored as;
Detect whether the second application program is opened;
When second application program is opened, second application program obtains the second information now;
Second information and described information storehouse are matched, and related application is recommended according to rule ordering set in advance.
2. recommend method as claimed in claim 1, it is characterised in that:The first information includes:First time point information, Type information, the opening time length information of one positional information and first application program.
3. recommend method as claimed in claim 2, it is characterised in that:It is described to the first information carry out taxonomic revision, and It is ranked up, stores according to category preferences, is stored as information bank, including:
The type information for first application program classified with time dimension is sorted out according to the first information;
The type information for first application program classified with location dimension is sorted out according to the first information;
According to time dimension is preferential or location dimension is preferentially ranked up, store, information bank is stored as.
4. recommend method as claimed in claim 3, it is characterised in that:Second information includes the second time point information, the Two positional informations.
5. recommend method as claimed in claim 4, it is characterised in that:Matching second information and described information storehouse, And related application is recommended according to rule ordering set in advance, including:
Second time point information is before the first time point information in the range of one hour after and/or the second confidence Breath is in 3 kilometers of the first position information radius;
According to the relation for meeting matching, then recommend according to correspondence priority in second program related to first program Service.
6. recommend method as claimed in claim 5, it is characterised in that:Also include, further recommend in second program Information on services beyond the type information of first application program.
7. a kind of commending system applied based on real-time dynamic interactive scene, it is characterised in that including
Data collection module:First information during the first application program is opened for real-time collecting user;
Data preparation module:Taxonomic revision is carried out to the first information, and is ranked up, stores according to category preferences, is deposited Store up as information bank;
Using detection module:Detect whether the second application program is opened;When second application program is opened, described Two application programs obtain the second information now;
Recommending module:Second information and described information storehouse are matched, and related answer is recommended according to rule ordering set in advance With.
8. system according to claim 7, it is characterised in that
The first information includes described in data collection module:First time point information, first position information and described first should With the type information of program, opening time length information.
9. system according to claim 8, it is characterised in that the data preparation module includes:
The type information for first application program classified with time dimension is sorted out according to the first information;According to described The first information sorts out the type information for first application program classified with location dimension;According to time dimension is preferential or position Put dimension to be preferentially ranked up, store, be stored as information bank.
The recommending module includes:Second time point information is before the first time point information in the range of one hour after And/or the second place information is in 3 kilometers of the first position information radius;According to the relation for meeting matching, according to right Priority is answered then to recommend the service related to first program in second program.
10. a kind of electronic equipment, including:
At least one processor;And,
The memory being connected with least one described processor communication;Wherein,
The memory storage has can be by the instruction of one computing device, and the instruction is by least one described processor Perform, so that at least one described processor can:Real-time collecting user opens first information during the first application program;
Taxonomic revision is carried out to the first information, and is ranked up, stores according to category preferences, information bank is stored as;
Detect whether the second application program is opened;
When second application program is opened, second application program obtains the second information now;
Second information and described information storehouse are matched, and related application is recommended according to rule ordering set in advance.
CN201710418316.6A 2017-06-06 2017-06-06 A kind of recommendation method, system and equipment applied based on real-time dynamic interactive scene Withdrawn CN107301585A (en)

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CN111465921B (en) * 2017-12-12 2024-05-10 三星电子株式会社 User terminal device and control method thereof
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CN112256956A (en) * 2020-09-17 2021-01-22 北京一亩田新农网络科技有限公司 Information recommendation method and information recommendation device
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CN112883275B (en) * 2021-03-17 2024-01-19 北京乐我无限科技有限责任公司 Live broadcast room recommendation method, device, server and medium
CN113449036A (en) * 2021-06-29 2021-09-28 未鲲(上海)科技服务有限公司 Intelligent data storage method and device, computer equipment and storage medium

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Application publication date: 20171027