Combination of Documents Features Based on Simulated Click-through Data

Many different ranking algorithms based on content and context have been used in web search engines to find pages based on a user query. Furthermore, to achieve better performance some new solutions combine different algorithms. In this paper we use simulated click-through data to learn how to combine many content and context features of web pages. This method is simple and practical to use with actual click-through data in a live search engine. The proposed approach is evaluated using the LETOR benchmark and we found it is competitive to Ranking SVM based on user judgments.

• Type: Conference
• Year: 2009
• Where: ECIR
• Authors: Ali Mohammad Zareh Bidoki, James A. Thom
• Keywords: Actual Click-through Data, Computer Science, ECIR 2009, Live Search Engine, User Judgments