元搜索引擎结果集成算法

对于元搜索引擎的集成方法有很多,但是多数只考虑到客观因素,而没有考虑到用户因素。不管生成的结果在数据上有多么好,只有用户在最靠前的位置找到自己需要结果的集成方法,才是好的算法。本篇文章介绍了一种新算法,该算法在考虑到用户所查询条目同独立搜索引擎返回结果的相关性和搜索引擎数据库的影响因子的情况下,加入了用户反馈因素。用户反馈因素的加入使得该算法产生的结果更贴近用户的需要,可以根据用户对所搜索出来的结果的关注程度来调整结果的排序,使排序的结果更加优化。

Result Integration of Meta-Search

There are many methods for result integration of meta-search engine,but most of them only considering the factor of impersonality,and didn't considering the factor of user.No matter how excellence the results fit the query string,only the results that the users find their answer in the front of all results are good results,and the corresponding arithmetic is good arithmetic too.This article introduces a new arithmetic,this arithmetic considering the relativity of query string and results from independent search engines,the different database of independent search engines,and the factor of user's feedback.The consideration of user's feedback make the results produced by this arithmetic very close to the need of the users,and we can adjust the ranking by the degree of user's attentions to the results,optimize the ranking method and make the results more excellence.