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News recommendation system-based news aggregation presentation method

A recommendation system and news technology, applied in the information field, can solve the problems of reducing user experience, user brain fatigue, lack of changes, etc., and achieve the effect of improving reading experience, improving user experience, and stimulating brain excitement

Active Publication Date: 2018-01-19
强春娟
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, in response to the demand for "news that users need", each APP has a single solution, and they all use the method of continuously providing relevant news. This method is likely to cause users' brain fatigue and reduce user experience.
However, the recommendation method based solely on user interests will affect the comprehensiveness of obtaining "news that users need".
[0004] Existing technology: Aiming at the needs of topic-related news reading, for example, users want to use fragmented time to read science and technology news. Currently, the APPs on the market adopt the method of continuously providing relevant information. If users want to read science and technology news, all they see is Technology news, lack of changes, easy to cause user brain fatigue
The recommendation method based solely on user interests will affect the comprehensiveness of topic-related news reading. For example, the recommendation method purely based on user interest cannot meet the user's requirements for comprehensive access to technology news, because the recommended news often only contains part of the technology news.

Method used

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  • News recommendation system-based news aggregation presentation method

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Embodiment Construction

[0023] Below in conjunction with accompanying drawing, the present invention is further described: system adopts web crawler to crawl news in the off-line situation, then carries out the subject classification processing of news, and system records the relational data of news and subject; This part can use the existing Web news of the industry Topic classification algorithm;

[0024] The user logs in to the system, and the system generates and updates user interest data according to the user's location, historical browsing records, social relations, etc.;

[0025] The user's location information is obtained by the system according to the current mobile terminal system API;

[0026] Social relationships, including but not limited to, users log in through Weibo, WeChat, QQ, etc., the system obtains the user's social relationships, and predicts the user's own interests based on the points of interest of the relevant people in the user's social relationships;

[0027] Browsing hi...

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Abstract

The invention discloses a news recommendation system-based news aggregation presentation method. The method is characterized in that a news recommendation system comprises a network news topic classification unit, a news list generation unit of topic demand, a user interest generation and updating unit, a news list generation unit of user interest and a topic news display proportion control unit.According to the method, for news reading demand of the user with an explicit topic requirement, other news contents which a user is interested in are provided when news of a particular topic is provided, and mixture of two types of contents satisfies "topic requirement acquisition" of the user, and also satisfies "interesting content acquisition" of the user; and a mode thereof can effectively stimulate brain excitement, and improve user reading experience.

Description

technical field [0001] The invention belongs to the field of information technology, in particular to a method for aggregated news presentation based on a news recommendation system. Background technique [0002] Aggregated webpage news refers to a news provision method in which the system obtains news lists from news websites and presents them in a unified manner. Typical examples are Toutiao and Yidian. Aggregated news apps generally provide two ways to obtain news, one is "recommendation", which analyzes user interest data based on user behavior, and pushes news according to user interest; the other is that the user specifies a specific category, and the system provides relevant news, for example, the user Specify "tech news". These two methods solve the needs of "news that users are interested in" and "news that users need" respectively. [0003] At present, in response to the demand for "news that users need", each APP has a single solution, and they all use the meth...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 闫立俊
Owner 强春娟
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