Web Site Ranking Feedback System
نویسندگان
چکیده
منابع مشابه
RRLUFF: Ranking function based on Reinforcement Learning using User Feedback and Web Document Features
Principal aim of a search engine is to provide the sorted results according to user’s requirements. To achieve this aim, it employs ranking methods to rank the web documents based on their significance and relevance to user query. The novelty of this paper is to provide user feedback-based ranking algorithm using reinforcement learning. The proposed algorithm is called RRLUFF, in which the rank...
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the main challenge of a search engine is ranking web documents to provide the best response to a user`s query. despite the huge number of the extracted results for user`s query, only a small number of the first results are examined by users; therefore, the insertion of the related results in the first ranks is of great importance. in this paper, a ranking algorithm based on the reinforcement le...
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ژورنال
عنوان ژورنال: International Journal of Scientific Research in Computer Science, Engineering and Information Technology
سال: 2019
ISSN: 2456-3307
DOI: 10.32628/cseit195135