On-line selection of distinguishing elements for focused information retrieval
K. Chen, W. Zheng, Hung Chim, Xiaotie Deng, Haodi Feng, Shanfeng Zhu · 2001
The internet can be viewed as a database with a huge amount of information. Powerful search engines present to users web pages that contain useful information, ranked according to the relevance to a particular query, and the quality of the web pages. However, users may have different interests even for the same query. In this work, we develop an on-line approach to learn to rank the web pages according to user preference.