Exploratory queries on a database often returns too few or too many results (e.g., a home search query on a database of available homes). In such cases, the user faces the challenges of (i) navigating through too many results and/or (ii) refining the query. This project focuses on innovative ways to help the user when the face the above challenges.
- Surajit Chaudhuri, Gautam Das, Vagelis Hristidis, and Gerhard Weikum, Probabilistic Ranking of Database Query Results, in VLDB, Very Large Data Bases Endowment Inc., 2004.
- Kaushik Chakrabarti, Surajit Chaudhuri, and Seung-won Hwang, Automatic Categorization of Query Results , in ACM SIGMOD Conference, 2004.
- Sanjay Agrawal, Surajit Chaudhuri, Gautam Das, and Aristides Gionis, Automated Ranking of Database Query Results, in Proceedings of the 2003 CIDR Conference (CIDR), 2003.
Past Contributors: Gautam Das, Gerhard Weikum
Past interns: Seung-won Hwang, Aris Gionis, Vagelis Hristidis