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Information push method and device

An information recommendation and user technology, applied in the Internet field, can solve the problems of high consumption of human resources, low efficiency of recommending books, poor accuracy and timeliness, and achieve the effect of improving recommendation efficiency

Active Publication Date: 2014-05-14
SHENZHEN SHI JI GUANG SU INFORMATION TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, in the prior art, manual editing consumes a lot of human resources, and the accuracy and timeliness of popular book discovery are poor, resulting in low efficiency in recommending books for users.

Method used

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  • Information push method and device
  • Information push method and device
  • Information push method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0022] see figure 1 , a method for information recommendation is provided in this embodiment, including:

[0023] 101. Obtain the user's historical behavior data on the current book, wherein the historical behavior data includes: the data of the user's purchase of books, the data of the user's search for books, and the data of the user's online reading of books;

[0024] 102. Calculate the popularity score of the current book and the user's liking for preset tags according to the user's historical behavior data, wherein the preset tags refer to the books that the user has historically been interested in Each type of label in the label corresponding to the book;

[0025] 103. Obtain books recommended to the user according to the tags of the current book, the popularity scores of the current books, and the user's liking for the preset tags.

[0026] Wherein, the calculation of the popularity score of the current book according to the user's historical behavior data includes: ...

Embodiment 2

[0054] The embodiment of the present invention provides a method for information recommendation, see figure 2 , the method flow includes:

[0055] 201. Obtain historical behavior data of the user on the current book.

[0056] In this embodiment, the current book refers to the book currently provided on the portal website. Wherein, the user refers to any user on the portal website, which is not specifically limited in this embodiment. The user's historical behavior data on the current book includes, but is not limited to: the data of the user's purchase of books, the data of the user's search for books, and the data of the user's online reading of books, etc.

[0057] In this step, the historical behavior data of the user is counted to obtain the historical behavior data. The specific historical behavior data obtained include but are not limited to: user purchase, search, reading time, title of books, number of books, etc.

[0058] 202. Calculate the popularity score of th...

Embodiment 3

[0138] see image 3, an embodiment of the present invention provides an information recommendation device, the device includes: an acquisition module 301 , a calculation module 302 and a recommendation module 303 .

[0139] The acquiring module 301 is configured to acquire the user's historical behavior data on the current book, wherein the historical behavior data includes: the data of the user's purchase of books, the data of the user's search for books, and the data of the user's online reading of books;

[0140] A calculation module 302, configured to calculate the popularity score of the current book and the user's preference for preset tags according to the user's historical behavior data, wherein the preset tag refers to the user's historical Each type of label in the label corresponding to the book of interest;

[0141] The recommendation module 303 is configured to obtain books recommended to the user according to the tags of the current book, the popularity score of...

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Abstract

The invention discloses an information push method and device and belongs to the technical field of internet. The method comprises obtaining historical behavior data of users towards current books, wherein the historical behavior data comprises book purchasing data, book searching data and online book reading data of the users; calculating popularity scores of the current books and preferences of the users towards preset labels according to the user historical behavior data respectively; obtaining books to be recommended to the users according to the current book labels, popularity scores and the preferences of the users towards preset labels. According to the method and the device, personalized recommendation is performed through analysis of the user historical behavior data, manual editing is not required, and the web portal recommendation efficiency is improved.

Description

technical field [0001] The invention relates to the field of the Internet, in particular to a method and device for pushing information. Background technique [0002] With the development of the Internet, more and more book portals have emerged. Reading lovers do not need to spend time and energy going to the library to buy books, and can conveniently read online. Due to the convenience of online reading, more and more users choose to read books online. But how to obtain books that match the user's hobbies, so as to recommend the books that the user is interested in to the user, is a problem that all book portals need to solve. [0003] In the prior art, most portal websites rely on manual statistics of interests and hobbies of different users, so as to recommend books that users may like through manual editing. [0004] However, manual editing in the prior art consumes a lot of human resources, and the accuracy and timeliness of finding popular books is relatively poor, r...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/9535G06F16/958
Inventor 程刚李鹤潘璇庄子明
Owner SHENZHEN SHI JI GUANG SU INFORMATION TECH
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