The problem of information overloading in the big data era makes the user submerge in a large amount of irrelevant information and product browsing, although The traditional search engines such as Google, Bing and Baidu can quickly help users find the target information, but it does not fully meet the user's demand for personalized information. In order to solve this problem, a recommendation for search engine gives a better solution, in this paper, the prototype of personalized information recommendation system has carried on the exploration and analysis of the implementation model is presented.
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