基于社区的对等网络信息检索

Community-Based Information Retrieval in Peer-to-Peer Network

定义了反映用户偏好的用户模式树,根据用户模式树之间的近似性来判断用户模式之间的近似性,进而构造用户社区,并提出了基于社区的信息检索算法(CBSA算法).实验结果表明,该算法利用用户搜索的行为模式有效地减少了检索时的网络带宽消耗,缩短了检索的响应时间,提高了检索效果.

This paper defined a user mode tree reflecting user＇s interesting, judged the similarity between users according to the similarity of the user mode trees, and then proposed an algorithm of information retrieval based on community, which effectively reduces consumption of bandwidth, shortens the response time, and improves the quality of results.