Our experiments in the Robust track this year focused on predicting query difficulty and using this prediction for improving information retrieval. We developed two prediction alg...
Elad Yom-Tov, Shai Fine, David Carmel, Adam Darlow...
Three methods are proposed to classify queries by intent (CQI), e.g., navigational, informational, commercial, etc. Following mixed-initiative dialog systems, search engines shoul...
Different search engines conduct similar ad auctions simultaneously and advertisers have to choose in which search engine(s) to run their ad campaign. In this paper we discuss tw...
This paper presents a method for generating indexable and browsable keyword metadata from ASR transcripts by leveraging the Web. Search engine queries are built from an ASR transc...
Kishan Thambiratnam, Gang Li, Sha Meng, Frank Seid...
We present a demo of ESTER, a search engine that combines the ease of use, speed and scalability of full-text search with the powerful semantic capabilities of ontologies. ESTER s...