Building Search Context with Sliding Window for Information Seeking
With the rapid development of Internet, how to obtain and represent personalized information in users activity of information seeking is a key issue in information retrieval. This paper presents a novel method to build personalized search context which represents semantic background in users information seeking. Search context is composed of terms and semantic relation which is extracted based on Websnippets returned from search engine. In addition, sliding window algorithm is applied in mining semantic relation in search context. Experimental results demonstrate the effectiveness of our method in clustering algorithm which plays an important role in information retrieval. It can be seen that this method has a brilliant perspective in the field of personalized search.
information seeking search context semantic relation sliding window
Jie Yu Jie Gong Fangfang Liu
School of Computer Engineering and Science Shanghai University, China, 200072
国际会议
上海
英文
274-277
2011-03-11（万方平台首次上网日期，不代表论文的发表时间）