Text information recommendation method and system
A recommendation method and recommendation system technology, applied in the computer field, can solve semantic ambiguity and other problems, achieve the effect of improving conversion rate, improving information PV conversion rate, and improving user experience
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no. 1 example
[0039] Please refer to Figure 4 , Figure 4 It is a schematic flowchart of a method for recommending text information provided by the first embodiment of the present invention. like Figure 4 As shown, the method for recommending text information described in this embodiment includes the following steps:
[0040] Step S10, establishing an information recommendation pool;
[0041] In this step, the information recommendation pool is pre-stored in the cache of the database 300 and / or the server 200, and multiple information texts are stored therein.
[0042] Step S11, obtaining the text content of the news article to be recommended;
[0043] In this step, the article requiring recommended information may be an article opened by the user by clicking a news link on the terminal device 100, or an article actively recommended to the user by the website editor according to the current hot news or hot articles in the WeChat circle . The text content of news articles to be recom...
no. 2 example
[0081] The second embodiment provides a system for recommending text information, which is used to implement the method for recommending text information in the above embodiments. like Figure 7 As shown, the recommendation system of the text information includes an information recommendation pool 400, an information text acquisition module 401, a word segmentation tool 402, an LDA model library 403, an LDA prediction module 404, an information popularity module 405, an information correlation calculation module 406, and an information ranking Module 407 and result output module 408 .
[0082] The information recommendation pool 400 is pre-stored in the cache of the database 300 and / or the server 200, and stores a plurality of information texts therein. The information texts stored in the information recommendation pool 400 can be all kinds of news crawled by the information text acquisition module 401 from other news websites, and can also be various types of news directly o...
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