Query Relaxation and Answer Integration Based on Agent for Cross-Media Meta-Searches
Hong Wang · Microcomputer applications · 2007
Using conventional search engines to retrieve relevant information,users must search many sites from several different aspects.Thus it is important to integrate and organize this information from the different sites.It proposes a query relaxation approach based on agent for cross-media meta-search engines.The recall ratio can be improved effectively by gradually relaxing the search terms used for information retrieval and integrating the result sets.It also shows several examples of how the relaxation approach works.The experiments' results show a great improvement for increasing recall ratio and also precision ratio maintains about 70%.