A Survey of Web Information Retrieval Improvement Based on Relevance Feedback

It becomes possible that users can acquire satisfied information from large amounts of data by information retrieval.Because of the difficulty of query formulation and the inherent word ambiguity in natural language,the result might not correspond with the user's requirement.The paper begin with an review about the technology of information retrieval on the web.Then make an emphasis on the relevance feedback that combined in the prevalent IR models to improve IR and raise the precision.