G
Gordon V. Cormack
Researcher at University of Waterloo
Publications - 155
Citations - 8388
Gordon V. Cormack is an academic researcher from University of Waterloo. The author has contributed to research in topics: Relevance (information retrieval) & Relevance feedback. The author has an hindex of 41, co-authored 152 publications receiving 7925 citations. Previous affiliations of Gordon V. Cormack include University of Manitoba & McGill University.
Papers
More filters
Proceedings ArticleDOI
Novelty and diversity in information retrieval evaluation
Charles L. A. Clarke,Maheedhar Kolla,Gordon V. Cormack,Olga Vechtomova,Azin Ashkan,Stefan Büttcher,Ian MacKinnon +6 more
TL;DR: This paper develops a framework for evaluation that systematically rewards novelty and diversity into a specific evaluation measure, based on cumulative gain, and demonstrates the feasibility of this approach using a test collection based on the TREC question answering track.
Book
Information Retrieval: Implementing and Evaluating Search Engines
TL;DR: Information Retrieval offers an introduction to the core topics underlying modern search technologies, including algorithms, data structures, indexing, retrieval, and evaluation, and is a valuable reference for professionals in computer science, computer engineering, and software engineering.
Proceedings ArticleDOI
Reciprocal rank fusion outperforms condorcet and individual rank learning methods
TL;DR: Reciprocal Rank Fusion is demonstrated by using RRF to combine the results of several TREC experiments, and to build a meta-learner that ranks the LETOR 3 dataset better than any previously reported method.
Journal ArticleDOI
Efficient and effective spam filtering and re-ranking for large web datasets
TL;DR: It is shown that a simple content-based classifier with minimal training is efficient enough to rank the “spamminess” of every page in the ClueWeb09 dataset using a standard personal computer in 48 hours, and effective enough to yield significant and substantive improvements in the fixed-cutoff precision as well as rank measures of nearly all submitted runs.
Proceedings ArticleDOI
Exploiting redundancy in question answering
TL;DR: A method for arbitrary passage retrieval is applied to answer brief factual questions of the form typically asked in trivia quizzes and television game shows and it is demonstrated that answer redundancy can be used to address the second half.