Information recommendation method and system

A technology for information recommendation and recommendation information, applied in the directions of network data navigation, special data processing applications, instruments, etc., can solve the problems of not being able to recommend information processing, affecting the display of recommended information, etc., to achieve the effect of improving accuracy

Active Publication Date: 2015-11-18
BEIJING QIYI CENTURY SCI & TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the personalized recommendation system often recommends dozens or even hundreds of recommended information on the recommendation interface. Users usually only click or like one or more of the recommended information, and the recommended information that has not been clicked by the user accounts for a large number. The v

Method used

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  • Information recommendation method and system
  • Information recommendation method and system
  • Information recommendation method and system

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Embodiment Construction

[0042] In order to enable those skilled in the art to better understand the embodiments of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0043] see figure 1 , which shows a flow chart of the information recommendation method provided by the embodiment of the present invention, which can adjust the position information of the recommended information in the next recommended page based on the user's operation on the current recommended page, so as to improve the ac...

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PUM

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Abstract

The invention provides an information recommendation method and system. According to the information recommendation method and system, the operation of a user in a current recommendation page can be monitored to obtain each piece of recommended information clicked and viewed by the user and user behavior information of each piece of recommended information, and based on the user behavior information of each piece of recommended information, the preference degree of each piece of recommended information is obtained; furthermore, based on the preference degree of each piece of recommended information and position information of each piece of recommended information, a weight reduction coefficient of recommended information which is not clicked and viewed by the user is obtained; and by the preference degree of each piece of recommended information and the weight reduction coefficient of the recommended information which is not clicked and viewed by the user, the position information of each piece of recommended information in a next recommendation page is adjusted, so that each piece of recommended information clicked and viewed by the user can be adjusted to be displayed before each piece of recommended information which is not clicked and viewed by the user, the user can search favorite recommended information more visually in time, and the recommendation accuracy is improved.

Description

technical field [0001] The present invention relates to the technical field of personalized information recommendation, and more specifically, to an information recommendation method and system. Background technique [0002] In today's information overload and the rapid increase in the number of Internet users, the recommendation system, as a bridge connecting users and content, plays a very important role in news, shopping, video and other content websites. Among them, the personalized recommendation system is particularly important. The personalized recommendation system can treat each user as an independent individual, recommend items of interest to each user, and truly achieve "thousands of people and thousands of faces". Recommended effect. [0003] At present, the existing personalized recommendation systems can better respond to the user's active behavior. For example, when the user clicks on a video or evaluates a news, the personalized recommendation system can obt...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/9535G06F16/954
Inventor 方非王敏崔龙
Owner BEIJING QIYI CENTURY SCI & TECH CO LTD
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