CN104834714A - Method for providing active service through self-directed learning - Google Patents
Method for providing active service through self-directed learning Download PDFInfo
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- CN104834714A CN104834714A CN201510231288.8A CN201510231288A CN104834714A CN 104834714 A CN104834714 A CN 104834714A CN 201510231288 A CN201510231288 A CN 201510231288A CN 104834714 A CN104834714 A CN 104834714A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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Abstract
The embodiment of the invention discloses a method for providing active service through self-directed learning. The method comprises the steps of carrying out data collection and location by reversely locating and storing keywords by using a hadoop framework, wherein the data collection and location comprises the steps of carrying out keyword location and index storage on video story lines watched by users, the video types and the time dwelled on videos to form big data; analyzing and optimizing the big data to obtain models; classifying the users into similar models, and locating the users; providing potential interested videos for the users according to the classification of the users. By adopting the method disclosed by the invention, big data processing is carried out through video data watched by the users, the users are classified in the corresponding models, the potential interested videos are provided for the users, and videos that the users might like are provided according to a possible interesting trend of the users.
Description
Technical field
The present invention relates to a kind ofly provides the method for potential interest video for user, and particularly relating to a kind ofly provides the method for taking the initiative in offering a hand by autonomous learning.
Background technology
In the prior art at present, all kinds of net pastes the mode of the cookie extensively adopting memory user, namely by analyzing the vestige of the browsed in the recent period object of user, according to classification and the phase recency of these vestiges, recommend similar commodity or application etc. to user, and adopt these modes simple and can not well excavate the potential interest video of user.
Summary of the invention
Embodiment of the present invention technical matters to be solved is, provides a kind of and is provided the method for taking the initiative in offering a hand by autonomous learning.By large data analysis, for user recommends the video of most suitable potential interest.
In order to solve the problems of the technologies described above, embodiments providing a kind ofly provides the method for taking the initiative in offering a hand by autonomous learning, uses hadoop framework inverted orientation and store keyword to carry out Data Collection and location;
Described Data Collection and location comprise the video story of a play or opera to user's viewing, video genre and on video the residence time carry out keyword location and index stores forms large data;
Described large data analysis is also optimized and obtains model;
User is referred to close model, user is positioned;
According to the classification of described user, for described user provides potential interested video.
Implement the embodiment of the present invention, there is following beneficial effect: the present invention carries out large data processing by the video data watched user, user is referred in corresponding model, for user provides potential interested video, and provide its video that may like according to the trend possible interested of user.
Embodiment
For making the object, technical solutions and advantages of the present invention clearly, below the present invention is described in further detail.
The a kind of of the embodiment of the present invention provides the method for taking the initiative in offering a hand by autonomous learning, by disposing hadoop framework, in the client of user, comprise in Android projector, Android intelligent television or android set top box, carry out Data Collection and the location of user behavior, and behavior is marked etc., finally passes to high in the clouds by after data encryption, so that hadoop engine can be analyzed.
With the Data Collection of user and location comprise the video story of a play or opera to user's viewing, video genre, on video the residence time, age, position, sex etc. carry out keyword location and index stores forms large data.
The large data of the magnanimity of described user are excavated, uses the row's of falling algorithm realization in Hadoop fast query; The calculating and memory requirement that need the modules of huge computing power in system are expanded on each node in Hadoop cluster, utilize the parallel computation of cluster and storage capacity to carry out related data excacation.
For typically carrying out model construction, hadoop engine is referred to model after analyzing user.And model can constantly be optimized according to the result of hadoop and improve, thus forms self upgrading and optimization.
User is referred to close model, user is positioned; Hadoop engine is indicated and reverse search method by key word, thus searches for fast, according to the classification of described user, for described user provides potential interested video.
Certain above-described embodiment, only for technical conceive of the present invention and feature are described, its object is to person skilled in the art can be understood content of the present invention and implement according to this, can not limit the scope of the invention with this.All modifications done according to the Spirit Essence of main technical schemes of the present invention, all should be encompassed within protection scope of the present invention.
Claims (1)
1. a method of taking the initiative in offering a hand is provided by autonomous learning, it is characterized in that,
Use hadoop framework inverted orientation and store keyword and carry out Data Collection and location;
Described Data Collection and location comprise the video story of a play or opera to user's viewing, video genre and on video the residence time carry out keyword location and index stores forms large data;
Described large data analysis is also optimized and obtains model;
User is referred to close model, user is positioned;
According to the classification of described user, for described user provides potential interested video.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510231288.8A CN104834714A (en) | 2014-05-08 | 2015-05-08 | Method for providing active service through self-directed learning |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2014101921117 | 2014-05-08 | ||
| CN201410192111 | 2014-05-08 | ||
| CN201510231288.8A CN104834714A (en) | 2014-05-08 | 2015-05-08 | Method for providing active service through self-directed learning |
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| CN104834714A true CN104834714A (en) | 2015-08-12 |
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| CN201510231288.8A Pending CN104834714A (en) | 2014-05-08 | 2015-05-08 | Method for providing active service through self-directed learning |
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Citations (4)
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|---|---|---|---|---|
| US20030233369A1 (en) * | 2002-06-17 | 2003-12-18 | Fujitsu Limited | Data classifying device, and active learning method used by data classifying device and active learning program of data classifying device |
| CN103136275A (en) * | 2011-12-02 | 2013-06-05 | 盛乐信息技术（上海）有限公司 | System and method for recommending personalized video |
| CN103198418A (en) * | 2013-03-15 | 2013-07-10 | 北京亿赞普网络技术有限公司 | Application recommendation method and application recommendation system |
| CN103731738A (en) * | 2014-01-23 | 2014-04-16 | 哈尔滨理工大学 | Video recommendation method and device based on user group behavioral analysis |
-
2015
- 2015-05-08 CN CN201510231288.8A patent/CN104834714A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030233369A1 (en) * | 2002-06-17 | 2003-12-18 | Fujitsu Limited | Data classifying device, and active learning method used by data classifying device and active learning program of data classifying device |
| CN103136275A (en) * | 2011-12-02 | 2013-06-05 | 盛乐信息技术（上海）有限公司 | System and method for recommending personalized video |
| CN103198418A (en) * | 2013-03-15 | 2013-07-10 | 北京亿赞普网络技术有限公司 | Application recommendation method and application recommendation system |
| CN103731738A (en) * | 2014-01-23 | 2014-04-16 | 哈尔滨理工大学 | Video recommendation method and device based on user group behavioral analysis |
Non-Patent Citations (5)
| Title |
|---|
| 万川梅等: "《深入云计算：Hadoop应用开发实战详解》", 30 June 2013 * |
| 唐真: "基于hadoop的推荐系统设计与实现", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
| 张鹏: "基于云计算的在线视频推荐系统设计与实现", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
| 李英壮等: "基于云计算的视频推荐系统的设计", 《通信学报》 * |
| 陆嘉恒: "《Hadoop实践 第2版》", 30 November 2012 * |
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Application publication date: 20150812 |