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Book recommendation method based on user actions

A recommendation method and user technology, applied in special data processing applications, instruments, electronic digital data processing, etc., can solve the problems of ignoring operation behavior information, single data source, etc., and achieve the effect of accurate book recommendation service

Active Publication Date: 2013-02-13
EB INFORMATION TECH
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AI Technical Summary

Problems solved by technology

The existing recommendation system alleviates the dilemma of lack of effective information caused by the explosion of information resources to a certain extent, but there are still many deficiencies, mainly reflected in: ① only analyze the results of user browsing behavior (such as browsing time, frequency), and ignore the The influence of factors such as its own characteristics and its layout in the book reading platform, the user's access track; ②The data source used is too single, ignoring other operational behavior information during the user's browsing / reading process, such as the use of tags

Method used

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  • Book recommendation method based on user actions
  • Book recommendation method based on user actions

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Embodiment Construction

[0013] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0014] Such as figure 1 As shown, a method for recommending books based on user behavior in the present invention includes:

[0015] Step A. According to the user's browsing time of the book in the current day, the number of visits, the number of access paths, the number of visits of each access path, the depth of the access path, and the number of content bytes of the book, calculate the number of pages browsed by each user. Book user-book interest degree;

[0016] Step B. All the tags marked by the user on the book in the current day constitute the user tag set, and calculate the user-tag interest degree of the user for each tag in the tag set according to the frequency of use of the tags by the user, and then according to the book's The user-l...

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Abstract

The invention discloses a book recommendation method based on user actions. The book recommendation method comprises the following steps of: calculating user-to-book interestingness of each user to browsed books according to book browsing time, access times, the number of access paths, access times of each access path, the depth of each access path and the number of content bytes of the books of each user in a present day; and calculating the similarity among the users on the basis of the user-to-book interestingness, selecting a plurality of neighbor users with high similarity for a target user, and recommending the books which are read by the neighbor users but not read by the target user to the target user. The book recommendation method belongs to the technical field of e-commerce information retrieval and treatment based on a mobile internet, and can be used for exploring the preferences of the users according to the book browsing actions of the users so as to provide relatively accurate book recommendation service to the users.

Description

technical field [0001] The invention relates to a method for recommending books based on user behavior, and belongs to the technical field of mobile Internet e-commerce information retrieval and processing. Background technique [0002] The rapid development of the mobile Internet and the popularization of smart phones have greatly facilitated users' network applications. More and more users are getting used to using the mobile Internet to Network to pass the time. Mobile phone reading, as one of the typical applications of the mobile Internet, is gradually gaining the favor of users, enabling users to read books they are interested in anytime and anywhere. However, with the rapid increase in the amount of book information, it is more difficult for users to find books they are interested in, and the resource utilization efficiency of the platform is also decreasing. Traditional information retrieval technology can alleviate this problem to a certain extent, but requires us...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 廖建新刘同存张雷赵贝尔
Owner EB INFORMATION TECH
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