News recommendation method and system

A recommendation method and recommendation system technology, applied in the information field, can solve the problems of wasting user time and reducing, and achieve the effect of saving time, reducing news, and improving click-through rate

Inactive Publication Date: 2014-09-10
BEIJING QIHOO TECH CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0003] The current Internet news reading products mainly include web (page) terminal and mobile app (application program) terminal. From the point of view of news integration, most of them are still in the form of manual editing and classified browsing. Reading in this way will make users Browsing a lot of uninteresting news wastes the user's time, and the product itself also requires a lot of editors to update and maintain the news; subscription news reading products represented by Google Reader are another product different from the above products In this form, users can subscribe to the content of the website they are interested in to read and browse. This form of reading reduces the possibility of users browsing content that they are not interested in, but users need to find the content and website they are interested in and make a series of settings. , and for most Internet users, they don't like the cumbersome way of

Method used

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Embodiment Construction

[0030] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0031] Such as figure 1 As shown, an embodiment of the present invention provides a news recommendation method, which includes:

[0032] Step 110, extracting features of the search query data. In this embodiment, the type of search query data is not limited, for example, it may be the user's browsing status of the news obtained by searching; this embodiment does not limit the characteristics of the search query data, for example, ...

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Abstract

The invention relates to a news recommendation method and system, and relates to the technical field of information. The method and system aim to push news to different types of users who are interested in the news. The method includes the steps of extracting features of search and query data, according to behaviors of a certain type of users on the search and query data, calculating and recording interest weights of the features of the search and query data on the type of users, extracting features of multiple pieces of news to be pushed, searching for the interest weights of the features of the news to be pushed from the recorded features and the interest weights, calculating interest scores of the news to be pushed for the type of users, and pushing the news to the type of users according to the interest scores of the news to be pushed for the type of users. By means of the method and system, interests of different types of users can be analyzed, and the news according with the interests of the users is pushed to the users.

Description

technical field [0001] The present invention relates to the field of information technology, in particular, to a news recommendation method and system. Background technique [0002] Obtaining news is a living habit of people in modern society. With the development of computer technology and the continuous expansion of Internet users, more and more people use the Internet to obtain various information they need. At the same time, more and more websites provide news services through the Internet, more and more breaking news and events are rapidly disseminated through the Internet, and Internet information shows an explosive growth trend. In recent years, the rapid development of the mobile Internet has made users' reading time more and more fragmented. In this context, how to filter out the most valuable information from the massive amount of information and recommend the most interesting ones to users in a personalized way? Interesting news becomes extremely important. [0...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/337G06F16/958
Inventor 周楠常富洋秦吉胜
Owner BEIJING QIHOO TECH CO LTD
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