Evaluation in Contextual Information Retrieval
نویسندگان
چکیده
منابع مشابه
Contextual Simulations for Information Retrieval Evaluation
Non-interactive evaluations of Information Retrieval (IR) systems do not model many of the contextual factors that influence real users’ information seeking. As such, they may give overlysimplified grounds for IR system comparison. This paper advocates the use of rich contextual simulations (i.e., simulations of user behavior and the factors that influence it) to extend and enhance the non-inte...
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There are three parts to this talk – related in rather tangential ways. First, I will give a recap of an argument developed in a couple of earlier talks – at IIiX in 2008 and at the SIGIR evaluation workshop in 2009. The gist of the argument is about thinking about IR as a science, and the consequences Appears in the Proceedings of The 2nd International Workshop on Contextual Information Access...
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In this paper we give an overview of and outlook on research at the intersection of information retrieval (IR) and contextual bandit problems. A critical problem in information retrieval is online learning to rank, where a search engine strives to improve the quality of the ranked result lists it presents to users on the basis of those users’ interactions with those result lists. Recently, rese...
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1 Introduction Information Retrieval (IR) deals with uncertainty and vagueness in information systems. Uncertainty is caused by the problem of representing the semantics of text and other media, which cannot be done in a perfect way. On the other hands, information needs to be answered by IR systems are often vague and cannot be specified precisely, thus leading to iterative query formulation. ...
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In Content-based Image Retrieval (CBIR) systems, accurately ranking images is of great relevance, since users are interested in the returned images placed at the first positions, which usually are the most relevant ones. In general, CBIR systems consider only pairwise image analysis, that is, compute similarity measures considering only pairs of images, ignoring the rich information encoded in ...
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ژورنال
عنوان ژورنال: ACM Computing Surveys
سال: 2018
ISSN: 0360-0300,1557-7341
DOI: 10.1145/3204940