Information Retrieval
Retrievability: an evaluation measure for higher order information access tasks
Proceedings of the 17th ACM conference on Information and knowledge management
Improving search engines using human computation games
Proceedings of the 18th ACM conference on Information and knowledge management
Improving retrievability of patents with cluster-based pseudo-relevance feedback documents selection
Proceedings of the 18th ACM conference on Information and knowledge management
Accessibility in information retrieval
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
Improving retrievability of patents in prior-art search
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
Improving access to large patent corpora
Transactions on large-scale data- and knowledge-centered systems II
Improving access to large patent corpora
Transactions on large-scale data- and knowledge-centered systems II
Relating retrievability, performance and length
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
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Typically the evaluation of Information Retrieval (IR) systems is focused upon two main system attributes: efficiency and effectiveness. However, it has been argued that it is also important to consider accessibility, i.e. the extent to which the IR system makes information easily accessible. But, it is unclear how accessibility relates to typical IR evaluation, and specifically whether there is a trade-off between accessibility and effectiveness. In this poster, we empirically explore the relationship between effectiveness and accessibility to determine whether the two objectives i.e. maximizing effectiveness and maximizing accessibility, are compatible, or not. To this aim, we empirically examine this relationship using two popular IR models and explore the trade-off between access and performance as these models are tuned.