Analysis and Evaluation of Measures of Retrieval Performance

Award:   NSF IIS-0534482
PI:   Javed A. Aslam
Institution:   Northeastern University


Search engines and other information retrieval technologies are critical in the digital age. The goal of this project is to develop novel paradigms for analyzing and efficiently evaluating retrieval performance, with an eye toward fostering and enabling research leading to better search engines and other retrieval technologies.

Two novel frameworks are proposed: (1) an information-theoretic framework within which one can quantifiably assess what various measures of retrieval performance are measuring and (2) a statistical framework within which one can efficiently estimate these measures of retrieval performance. The former provides a theoretical underpinning for retrieval evaluation and analysis; the latter provides a practical methodology for efficiently evaluating search engines on a large scale. Each will foster and enable research leading to better search engines and search technology.

Current Personnel

Former Personnel


statAP at TREC

infAP at TREC

Acknowledgment and Disclaimer

This material is based upon work supported by the National Science Foundation under Grant No. IIS-0534482. Any opinions, findings and conclusions or recomendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation (NSF).