基于用户行为的全文检索系统个性化研究

Research on Personalization of Full-text Retrieval System Based on Users' Behavior

总结国内有关检索系统个性化研究的现状并进行分析,针对全文检索系统个性化服务方面存在的不足提出了基于用户行为全文检索系统模型,阐释了模型中的三个关键问题,包括相关反馈行为评价体系的制定、用户显式隐式行为的获取、用户兴趣建模和基于行为的相关度算法优化,最后列举了基于用户行为的全文检索系统可提供的四项个性化服务内容,包括个性化用户界面、优化检索策略、个性化检索结果、个性化推荐。

The paper summarizes the domestic current situation of retrieval system personalization re- search and gives some analysis, brings up a model of full- text retrieval system based on users＇behavior according to the shortcomings of the current personalization service of full - text retrieval system, explains three key points of the model, including formulating the relevance feedback behavior appraisal system, acquisition of the users＇ explicit and implicit behaviors, user interests modeling and optimization of behavior- based correlation algorithm. Finally the paper lists four personalized services of the users＇behavior- based system： personalized user interface, ootimized retrieval strategy, personalized retrieval result and personalized recommendation.