News recommendation method and device based on multi-feature fusion

A multi-feature fusion and multi-feature technology, applied in special data processing applications, instruments, text database queries, etc., can solve problems such as time-consuming, poor news browsing experience, etc.

Pending Publication Date: 2021-01-05
HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

When browsing news, users need to spend more time and energy to identify which news they...

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  • News recommendation method and device based on multi-feature fusion
  • News recommendation method and device based on multi-feature fusion
  • News recommendation method and device based on multi-feature fusion

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Embodiment Construction

[0047] In order to enable those skilled in the art to better understand the solution of the present application, the present application will be further described in detail below in conjunction with the drawings and specific implementation methods. Apparently, the described embodiments are only some of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0048] see figure 1 As shown, it is an implementation flow chart of a news recommendation method based on multi-feature fusion provided by the embodiment of the present application. The method may include the following steps:

[0049] S110: Obtain a multi-feature vector of each piece of news to be recommended in the set of news to be recommended when a trigger condition for news recommendation to the target user is met.

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Abstract

The invention discloses a news recommendation method based on multi-feature fusion, and the method comprises the steps: obtaining a multi-feature vector of each piece of to-be-recommended news in a to-be-recommended news set when a triggering condition for news recommendation to a target user is reached; determining a user portrait of the target user; determining a first recommendation result based on the user portrait and the topic feature vector of each piece of to-be-recommended news in the to-be-recommended news set; determining a second recommendation result based on the currently browsednews of the target user and the keyword vector, the title and the abstract feature vector of each piece of to-be-recommended news in the to-be-recommended news set; and determining a final recommendation result according to the first recommendation result and the second recommendation result, and recommending the final recommendation result to the target user. By applying the technical scheme provided by the invention, the news recommended to the user more conforms to the interest of the user and is more targeted, and the browsing experience of the user is improved. The invention further discloses a news recommendation device based on multi-feature fusion. The news recommendation device has corresponding technical effects.

Description

technical field [0001] The present application relates to the field of computer application technology, in particular to a news recommendation method and device based on multi-feature fusion. Background technique [0002] With the rapid development of computer technology and Internet technology, the frequency of network use is getting higher and higher, and there are more and more kinds of news on the network. Network news is more time-sensitive and can bring more convenience to people. They are also more inclined to browse various news on the Internet. [0003] At present, most news websites list all the news for users to browse. However, different users may have different interests and hobbies, and thus may have different interests in news. For each user, a large amount of news may be useless. When users browse news, they need to spend more time and energy to identify which news they need and are interested in, and which news is useless. The user's news browsing experi...

Claims

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Application Information

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IPC IPC(8): G06F16/9532G06F16/9535G06F16/33
CPCG06F16/3344G06F16/9532G06F16/9535
Inventor 刘洋张恒龑王轩张伟哲夏文张加佳漆舒汉唐琳琳
Owner HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
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