A simple and efficient sampling method for estimating AP and NDCG
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Improving retrievability and recall by automatic corpus partitioning
Transactions on large-scale data- and knowledge-centered systems II
Improving retrievability and recall by automatic corpus partitioning
Transactions on large-scale data- and knowledge-centered systems II
Protocol-driven searches for medical and health-sciences systematic reviews
ICTIR'11 Proceedings of the Third international conference on Advances in information retrieval theory
Improving retrievability with improved cluster-based pseudo-relevance feedback selection
Expert Systems with Applications: An International Journal
Efficient Nearest-Neighbor Search in the Probability Simplex
Proceedings of the 2013 Conference on the Theory of Information Retrieval
Analyzing multilingual knowledge innovation in patents
Expert Systems with Applications: An International Journal
Combining pre-retrieval query quality predictors using genetic programming
Applied Intelligence
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Over the past decades, significant progress has been made in Information Retrieval (IR), ranging from efficiency and scalability to theoretical modeling and evaluation. However, many grand challenges remain. Recently, more and more attention has been paid to the research in domain specific IR applications, as evidenced by the organization of Genomics and Legal tracks in the Text REtrieval Conference (TREC). Now it is the right time to carry out large scale evaluations on chemical datasets in order to promote the research in chemical IR in general and chemical Patent IR in particular. Accordingly, we organize a chemical IR track in TREC (TREC-CHEM) in order to address the challenges in chemical and patent IR. This paper describes these challenges and the accomplishments of the first year and opens up the discussions for the next year.