元搜索是一种基于搜索引擎的搜索引擎,它将各个独立搜索引擎的结果经过融合呈现给用户,以此为用户提供更加全面的信息.但是要在数量庞大的搜索结果中快速地找到自己所需要的信息却不是一件容易的事.提出了一种基于用户兴趣的个性化元搜索引擎模型,通过提取用户个性化行为特征,建立用户兴趣库,并对搜索结果进行合理排序和整合,将用户最感兴趣的信息尽可能排在最前面,从而实现元搜索的个性化,提高用户搜索的查准率和效率.%Meta-search, which is a search engine-based search engine, provides more comprehensive information for users by presenting the integrated results from individual search engines, but it's not an easy task to find the information required for the users from the huge number of search results quickly. A personalized meta-search engine model based on user interest is presented, which gives users the most interesting information at the top as far as possible by extracting the behavior of individual users, establishing user interest database, sorting and integrating search results reasonably, to achieve a personalized meta-search and to improve user search precision and efficiency.
展开▼
