CN105469284A - Method and apparatus for judging user interest degree - Google Patents

Method and apparatus for judging user interest degree Download PDF

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Publication number
CN105469284A
CN105469284A CN201511018992.1A CN201511018992A CN105469284A CN 105469284 A CN105469284 A CN 105469284A CN 201511018992 A CN201511018992 A CN 201511018992A CN 105469284 A CN105469284 A CN 105469284A
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user
duration
web page
access model
accessed web
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CN201511018992.1A
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Chinese (zh)
Inventor
代杰
孔维阳
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Triple Win Technology Shenzhen Co Ltd
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SHENZHEN DXY TECHNOLOGY Co Ltd
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Priority to CN201511018992.1A priority Critical patent/CN105469284A/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
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201Market modelling; Market analysis; Collecting market data
    • G06Q30/0202Market predictions or forecasting for commercial activities

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  • Business, Economics & Management (AREA)
  • Strategic Management (AREA)
  • Engineering & Computer Science (AREA)
  • Accounting & Taxation (AREA)
  • Development Economics (AREA)
  • Finance (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Game Theory and Decision Science (AREA)
  • Data Mining & Analysis (AREA)
  • Economics (AREA)
  • Marketing (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Information Transfer Between Computers (AREA)

Abstract

The invention is suitable for the technical field of networks, and provides a method and an apparatus for judging user interest degree. The method comprises the following steps of: recording webpage accessing duration and accessing behavior of a user; searching for a corresponding accessing model according to the accessing behavior; judging whether webpage accessing duration of the user is consistent with a time range of the corresponding accessing model, if so, judging that the user is a potential customer. The method and the apparatus provided by the invention can accurately judge the user interest degree.

Description

Judge method and the device of user interest degree
Technical field
The invention belongs to networking technology area, particularly relate to a kind of method and the device that judge user interest degree.
Background technology
Existing Users' Interests Mining method is from user's internet records of magnanimity, behavioral data such as browser cookie, the buffer memory etc. of digging user, the use habit of operation to user's nearest a period of time of being undertaken by user in record a period of time is added up, but the shortcoming of this scheme is, owing to lacking historical data and statistical study, the above-mentioned data excavated can only illustrate user's some commodity browsed or use some network function, and cannot judge user whether to this function or commodity interested.
Summary of the invention
The object of the embodiment of the present invention is to provide a kind of method and the device that judge user interest degree, is intended to solve the inaccurate problem of existing interest digging method.
The embodiment of the present invention is achieved in that a kind of method judging user interest degree, and described method comprises the steps:
The duration of recording user accessed web page and access behavior;
Corresponding Access Model is searched according to described access behavior;
Judging that whether the duration of described user's accessed web page is consistent with the time range of described corresponding Access Model, is that this user is judged to be potential customers.
Further, describedly judging that whether the duration of user's accessed web page is consistent with the time range of corresponding Access Model in execution, is, after this user is judged to be potential customers, also comprise:
Corresponding service is pushed to described potential customers.
Further, perform described to search corresponding Access Model according to described access behavior before, also comprise:
One or more Access Model is set.
Further, whether the duration of the described user's of judgement accessed web page is consistent with the time range of described corresponding Access Model specifically comprises:
Calculate the duration of described user's accessed web page and the mistiming of the time range of described corresponding Access Model;
When the described mistiming is no more than default deviate, judge that whether the duration of described user's accessed web page is consistent with the time range of described corresponding Access Model.
The present invention also provides a kind of device judging user interest degree, and described device comprises:
Logging modle, for duration and the access behavior of recording user accessed web page;
Search module, for searching corresponding Access Model according to described access behavior;
Judge module, whether consistent with the time range of described corresponding Access Model for judging the duration of described user's accessed web page, be that this user is judged to be potential customers.
Further, described device also comprises:
Pushing module, for pushing corresponding service to described potential customers.
Further, described device also comprises:
Module is set, for arranging one or more Access Model.
Further, described judge module comprises:
Computing unit, for the mistiming of the duration with the time range of described corresponding Access Model that calculate described user's accessed web page;
Identifying unit, for when the described mistiming is no more than default deviate, judges that whether the duration of described user's accessed web page is consistent with the time range of described corresponding Access Model.
The embodiment of the present invention arranges multiple Access Model on the basis of investigation statistics data in early stage, then judges the Access Model of user according to the access behavior of user, then infers whether user is potential user.The embodiment of the present invention can judge user interest degree exactly, and Push Service accurately.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of the method for the judgement user interest degree that the embodiment of the present invention one provides;
Fig. 2 is the process flow diagram of determining step in the method for the judgement user interest degree that the embodiment of the present invention one provides;
Fig. 3 is the structural drawing of the device of the judgement user interest degree that the embodiment of the present invention two provides;
Fig. 4 is the structural drawing of judge module in the device of the judgement user interest degree that the embodiment of the present invention two provides.
Embodiment
In order to make object of the present invention, technical scheme and advantage clearly understand, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
embodiment one
The embodiment of the present invention one proposes a kind of method judging user interest degree.As shown in Figure 1, the method for the embodiment of the present invention one comprises the steps:
S1, one or more Access Model is set.The embodiment of the present invention one is first according to the enquiry data in early stage, the analytical approachs such as integrated economics, psychology, social engineering, statistics, according to the interest of user by users classification, set up different Access Model, as just needed type, middle aged consumption-orientation, young children's type etc. old age.The webpage of user's access of different access model is different, and behavior characteristic information is also different, and the time of its accessed web page is also different.
The duration of S2, recording user accessed web page and access behavior.Behaviors such as when user accesses a certain webpage, starting timing, the duration that recording user stops at this webpage, and record is carried out to the access behavior of user, such as user clicks purchase, collect, copy.Preferably, the embodiment of the present invention one records the type of webpage of user's access in a Preset Time, the duration of each accessed web page and access behavior.
S3, search corresponding Access Model according to access behavior.According to the access behavior of user in step S2, search the Access Model matched, the algorithm of coupling can be selected as required.Such as, within the same day, the web page access frequency of user to a certain type exceedes preset times (as shopping website), and when access behavior comprises collection and buys, thinks that Access Model corresponding to access behavior is young children's type.
S4, judging that whether the duration of user's accessed web page is consistent with the time range of corresponding Access Model, is that this user is judged to be potential customers.
As shown in Figure 2, step S4 specifically comprises:
S41, the duration of calculating user accessed web page and the mistiming of the time range of corresponding Access Model;
S42, when the mistiming is no more than default deviate, judge that whether the duration of user accessed web page is consistent with the time range of corresponding Access Model.This deviate can be that a set time is poor, also can be a deviation ratio, and deviate is preset according to the investigation statistics data in early stage and arranged, when the mistiming is no more than this deviate, judge that step S4 can prevent erroneous judgement, confirms potential customers further really as potential customers.
Further, when carrying out step S3 and S4, can be scale-of-two or shape data by data transformations, improving coupling and versus speed.
S5, push corresponding service to potential customers.
The embodiment of the present invention one arranges multiple Access Model on the basis of investigation statistics data in early stage, then judges the Access Model of user according to the access behavior of user, then infers whether user is potential user.The embodiment of the present invention one can judge user interest degree exactly, and Push Service accurately.
embodiment two
The embodiment of the present invention two provides a kind of device judging user interest degree, and this device can be terminal itself, also can be terminal built-in or an external device.As shown in Figure 3, the device of the embodiment of the present invention two comprises:
Module 10 is set, for arranging one or more Access Model.
Logging modle 20, for duration and the access behavior of recording user accessed web page;
Search module 30, for searching corresponding Access Model according to described access behavior;
Judge module 40, whether consistent with the time range of described corresponding Access Model for judging the duration of described user's accessed web page, be that this user is judged to be potential customers.
Pushing module 50, for pushing corresponding service to described potential customers.
As shown in Figure 4, judge module 40 comprises:
Computing unit 41, for the mistiming of the duration with the time range of described corresponding Access Model that calculate described user's accessed web page;
Identifying unit 42, for when the described mistiming is no more than default deviate, judges that whether the duration of described user's accessed web page is consistent with the time range of described corresponding Access Model.
Module 10 is set first according to the enquiry data in early stage, the analytical approachs such as integrated economics, psychology, social engineering, statistics, according to the interest of user by users classification, set up one or more Access Model, as just needed type, middle aged consumption-orientation, young children's type etc. old age.The webpage of user's access of different access model is different, and behavior characteristic information is also different, and the time of its accessed web page is also different.
The duration of logging modle 20 recording user accessed web page and access behavior.Behaviors such as when user accesses a certain webpage, starting timing, the duration that recording user stops at this webpage, and record is carried out to the access behavior of user, such as user clicks purchase, collect, copy.Preferably, the embodiment of the present invention one records the type of webpage of user's access in a Preset Time, the duration of each accessed web page and access behavior.
Search module 30 and search corresponding Access Model according to access behavior.According to the access behavior of above-mentioned user, search the Access Model matched, the algorithm of coupling can be selected as required.Such as, within the same day, the web page access frequency of user to a certain type exceedes preset times (as shopping website), and when access behavior comprises collection and buys, thinks that Access Model corresponding to access behavior is young children's type.
Judge module 40 judges that whether the duration of user's accessed web page is consistent with the time range of corresponding Access Model, is that this user is judged to be potential customers.Particularly,
Computing unit 41 calculates the duration of user's accessed web page and the mistiming of the time range of corresponding Access Model;
When the mistiming is no more than default deviate, identifying unit 42 judges that whether the duration of user's accessed web page is consistent with the time range of corresponding Access Model.This deviate can be that a set time is poor, also can be a deviation ratio, and deviate is preset according to the investigation statistics data in early stage and arranged, when the mistiming is no more than this deviate, judge that step S4 can prevent erroneous judgement, confirms potential customers further really as potential customers.
Further, data transformations, in computation process, can be scale-of-two or shape data by computing unit 41, improves coupling and versus speed.
Pushing module 50 pushes corresponding service to potential customers.
The embodiment of the present invention two arranges multiple Access Model on the basis of investigation statistics data in early stage, then judges the Access Model of user according to the access behavior of user, then infers whether user is potential user.The embodiment of the present invention two can judge user interest degree exactly, and Push Service accurately.
The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, all any amendments done within the spirit and principles in the present invention, equivalent replacement and improvement etc., all should be included within protection scope of the present invention.

Claims (8)

1. judge a method for user interest degree, it is characterized in that, described method comprises the steps:
The duration of recording user accessed web page and access behavior;
Corresponding Access Model is searched according to described access behavior;
Judging that whether the duration of described user's accessed web page is consistent with the time range of described corresponding Access Model, is that this user is judged to be potential customers.
2. the method for claim 1, is characterized in that, describedly judging that whether the duration of user's accessed web page is consistent with the time range of corresponding Access Model in execution, is, after this user is judged to be potential customers, also comprise:
Corresponding service is pushed to described potential customers.
3. the method for claim 1, is characterized in that, perform described to search corresponding Access Model according to described access behavior before, also comprise:
One or more Access Model is set.
4. method as claimed any one in claims 1 to 3, it is characterized in that, whether the duration of the described user's of judgement accessed web page is consistent with the time range of described corresponding Access Model specifically comprises:
Calculate the duration of described user's accessed web page and the mistiming of the time range of described corresponding Access Model;
When the described mistiming is no more than default deviate, judge that whether the duration of described user's accessed web page is consistent with the time range of described corresponding Access Model.
5. judge a device for user interest degree, it is characterized in that, described device comprises:
Logging modle, for duration and the access behavior of recording user accessed web page;
Search module, for searching corresponding Access Model according to described access behavior;
Judge module, whether consistent with the time range of described corresponding Access Model for judging the duration of described user's accessed web page, be that this user is judged to be potential customers.
6. device as claimed in claim 5, it is characterized in that, described device also comprises:
Pushing module, for pushing corresponding service to described potential customers.
7. device as claimed in claim 5, it is characterized in that, described device also comprises:
Module is set, for arranging one or more Access Model.
8. the device according to any one of claim 5 to 7, is characterized in that, described judge module comprises:
Computing unit, for the mistiming of the duration with the time range of described corresponding Access Model that calculate described user's accessed web page;
Identifying unit, for when the described mistiming is no more than default deviate, judges that whether the duration of described user's accessed web page is consistent with the time range of described corresponding Access Model.
CN201511018992.1A 2015-12-30 2015-12-30 Method and apparatus for judging user interest degree Withdrawn CN105469284A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108563654A (en) * 2017-12-26 2018-09-21 江苏懒人帮软件科技有限公司 A kind of binary digit technology analysis user interest algorithm
CN109241428A (en) * 2018-09-05 2019-01-18 广州视源电子科技股份有限公司 Method, device, server and storage medium for determining gender of user

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1987916A (en) * 2005-12-21 2007-06-27 腾讯科技(深圳)有限公司 Method and device for releasing network advertisements
CN102622445A (en) * 2012-03-15 2012-08-01 华南理工大学 User interest perception based webpage push system and webpage push method
CN103186565A (en) * 2011-12-28 2013-07-03 中国移动通信集团浙江有限公司 Method and device for judging user preference according to web browsing behavior of user
CN103856790A (en) * 2012-12-05 2014-06-11 北京四达时代软件技术股份有限公司 VOD system user behavior analysis method and system
CN105069654A (en) * 2015-08-07 2015-11-18 新一站保险代理有限公司 User identification based website real-time/non-real-time marketing investment method and system
CN105184616A (en) * 2015-09-29 2015-12-23 北京奇艺世纪科技有限公司 Method and device for targeted delivery of business object

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1987916A (en) * 2005-12-21 2007-06-27 腾讯科技(深圳)有限公司 Method and device for releasing network advertisements
CN103186565A (en) * 2011-12-28 2013-07-03 中国移动通信集团浙江有限公司 Method and device for judging user preference according to web browsing behavior of user
CN102622445A (en) * 2012-03-15 2012-08-01 华南理工大学 User interest perception based webpage push system and webpage push method
CN103856790A (en) * 2012-12-05 2014-06-11 北京四达时代软件技术股份有限公司 VOD system user behavior analysis method and system
CN105069654A (en) * 2015-08-07 2015-11-18 新一站保险代理有限公司 User identification based website real-time/non-real-time marketing investment method and system
CN105184616A (en) * 2015-09-29 2015-12-23 北京奇艺世纪科技有限公司 Method and device for targeted delivery of business object

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108563654A (en) * 2017-12-26 2018-09-21 江苏懒人帮软件科技有限公司 A kind of binary digit technology analysis user interest algorithm
CN109241428A (en) * 2018-09-05 2019-01-18 广州视源电子科技股份有限公司 Method, device, server and storage medium for determining gender of user

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Effective date of registration: 20190115

Address after: 518000 Building 405A, 01B, Zone E, Zhiheng Emerging Industrial Park, Nantou Street, Nanshan District, Shenzhen City, Guangdong Province

Applicant after: Shenzhen win win Technology Co., Ltd.

Address before: 518000 Meilong Road and Minwang Road, Minzhi Street, Longhua New District, Shenzhen City, Guangdong Province. Room 903, 905 and 906, Block B, Minzhi Commercial Plaza, Qixing Commercial Plaza (office space)

Applicant before: SHENZHEN DXY TECHNOLOGY CO., LTD.

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Application publication date: 20160406

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