A news recommendation method and device
A recommendation method and news technology, which is applied in the direction of instruments, calculations, and electronic digital data processing, etc., can solve the problems of low accuracy of similarity, sparse access records, and difficulties, so as to improve the accuracy and timeliness of recommendations, and improve the rationality. performance, accuracy, and push speed
Active Publication Date: 2020-01-03
TCL CORPORATION
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[0004] However, in the above-mentioned prior art, content-based recommendation usually does not consider factors such as news hotspots, that is, the life cycle of news is not considered, so the recommendation effect is not ideal; while recommendation based on collaborative filtering is based on access records. Only hot news that has been visited can be recommended. For hot news with very high timeliness requirements, the effect of real-time push cannot be achieved.
The life cycle of hot news is extremely short, and it is likely to be replaced by the next hot news in the next moment, resulting in the result of no one visiting, resulting in very sparse access records, which makes it difficult to implement the method of calculating similarity based on access records , and the accuracy of the calculated similarity is not high
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[0015] In order to make the purpose, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described The embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative efforts belong to the protection scope of the present invention.
[0016] see figure 1 , the first embodiment of the present invention provides a news recommendation method, the method mainly includes the following steps:
[0017] S101. Classify news according to content.
[0018] Classify the news according to the content, the news can be divided into social, military, science and technology, finance, ent...
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The invention discloses a news recommendation method and device. The method comprises the steps that the click rate of users to various kinds of news in selected time and the total click rate of all users to various kinds of news are obtained, a news interest model of the users in selected time is calculated, a final news interest model in the preset time period is obtained through weighted averaging according to the news interest model in the selected time, all users are clustered according to the final news interest model, a news candidate set recommended to various clustered users is determined according to the final news interest model and news heat, and the news in the news candidate set is recommended to the users. According to the news recommendation method and device, the news is recommended to the users according to the news interest model and the news heat, and reasonability and accuracy of news recommendation can be improved.
Description
technical field [0001] The invention belongs to the technical field of computers and networks, and in particular relates to a news recommendation method and device. Background technique [0002] There are a lot of various articles published by large portal websites every day, but the proportion of user visits to some articles is less than 10%, and a large number of articles have no chance to be displayed because no one browses them. In this case, recommending articles to users is the primary choice of many websites. However, the user access volume of large websites is huge, and the daily user access log volume is as high as 100 million. Especially for news articles, there is a huge amount of hot news to be released every day, and hot news has relatively high timeliness requirements, which also poses a challenge to the recommendation system of hot news. [0003] In the prior art, recommendation methods are mainly divided into two types: the first one is content-based recomm...
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IPC IPC(8): G06F16/9535
CPCG06F16/9535
Inventor 邓宏栋
Owner TCL CORPORATION