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The prototype of the personalized information recommendation engine

机译:个性化信息推荐引擎的原型

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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.
机译:大数据时代的信息超载的问题使用户淹没了大量无关的信息和产品浏览,尽管传统的搜索引擎如谷歌,Bing和百度可以快速帮助用户找到目标信息,但它没有完全满足用户对个性化信息的需求。为了解决这个问题,提出了一个关于搜索引擎的建议,本文提出了个性化信息推荐系统的原型,探讨了实施模型的探索和分析。

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