By Andrei Broder (auth.), Giambattista Amati, Claudio Carpineto, Giovanni Romano (eds.)
This ebook constitutes the refereed complaints of the twenty ninth annual ecu convention on info Retrieval study, ECIR 2007, held in Rome, Italy in April 2007. The forty two revised complete papers and 19 revised brief papers awarded including three keynote talks and 21 poster papers have been conscientiously reviewed and chosen from 220 article submissions and seventy two poster paper submissions. The papers are prepared in topical sections on conception and layout, potency, peer-to-peer networks, end result merging, queries, relevance suggestions, review, category and clustering, filtering, subject id, professional discovering, XML IR, net IR, and multimedia IR.
Read or Download Advances in Information Retrieval: 29th European Conference on IR Research, ECIR 2007, Rome, Italy, April 2-5, 2007. Proceedings PDF
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Extra info for Advances in Information Retrieval: 29th European Conference on IR Research, ECIR 2007, Rome, Italy, April 2-5, 2007. Proceedings
The life-cycle of array queries through the SRAM architecture can be summarised by the following sequence of transformations: Array comprehension → 14 R. P. de Vries Array algebra → Relational algebra → Relational plan. The ﬁrst translation step generates an array-algebra tree, which represents the sequence of operations performed on the stored arrays (reshaping, selection, aggregation, or function application). A cost-based optimiser normalises and rewrites the array-algebra tree. No physical details are involved in the process yet: only arrays’ size and density are taken into account.
This indicates the boundary between Fair and Bad is interpreted differently among users. For this reason, we will primarily focus our attention on the boundary between Excellent and Good and between Good and Fair. In addition, the Excellent and Good matches are the most interesting for many practical applications including query suggestion and sponsored search. 2 Evaluation We are interested in understanding how our matching methods compare to each other across various relevance criteria. Since we are interested in using standard information retrieval metrics, such as precision and recall, we must binarize the relevance judgments.
Sahami and Heilman proposed a method of enriching short text representations that can be construed as a form of query expansion . Their proposed method expands short segments of text using web search results. The similarity between two short segments of text can then computed in the expanded representation space. The expanded representation and DenseProb similarity measure that we present in 18 D. Metzler, S. Dumais, and C. Meek Sections 3 and 4 are similar to this approach. However, we estimate term weights differently and analyze how such expansion approaches compare, in terms of efficiency and effectiveness, to other standard information retrieval measures.
Advances in Information Retrieval: 29th European Conference on IR Research, ECIR 2007, Rome, Italy, April 2-5, 2007. Proceedings by Andrei Broder (auth.), Giambattista Amati, Claudio Carpineto, Giovanni Romano (eds.)