Recommending system and method combining SNS and search engine technology
A search engine and recommendation system technology, applied in the recommendation field of Internet data mining, can solve problems such as blind selection of user demand models, one-sided recommendation results, and low credibility, and achieve the effect of solving the cold start problem
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[0052] Example 1:
[0053] The present invention is a recommendation system combining SNS and search engine technology, such as figure 1 As shown, it is composed of a friend information acquisition module, a recommendation result generation module based on SNS friend intimacy, a search behavior information acquisition module, a recommendation result generation module based on search behavior information, and a result integration module.
[0054] Get friend information module, used to obtain the interactive information data of the first 150 friends closest to the user from the corresponding SNS platform; for example, on the one hand, take Sina, the largest microblog in China, as an example, we can provide it to developers through Sina Weibo The api interface is used to obtain the jason data structure containing various information of the user, and we only need to use the user's friend information list, such as the number of contacts and contact time between the target user and the f...
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[0059] Example 2:
[0060] The present invention is a recommendation method combining SNS and search engine technology, such as image 3 As shown in the flowchart of this method, the entire implementation steps are as follows:
[0061] 1. First obtain the interactive information data between the user and the friend from the corresponding SNS platform, mainly including the number and time of contact between the user and a friend, and also need to obtain the application records that the friend has viewed, the application records owned, and the comments Application records and recommended application records information;
[0062] 2. Secondly as Figure 4 As shown, by referring to the interaction information data obtained in the previous step, on the one hand, referring to the number of contacts C between friend i and the target user i , The contact time between friend i and target user t i The total contact time T with all friends and the target user using the formula Calculate the int...
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