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Titlebook: Advances in Distributed Agent-Based Retrieval Tools; Vincenzo Pallotta,Alessandro Soro,Eloisa Vargiu Book 2011 Springer Berlin Heidelberg

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期刊全称Advances in Distributed Agent-Based Retrieval Tools
影响因子2023Vincenzo Pallotta,Alessandro Soro,Eloisa Vargiu
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发行地址Recent Research in Distributed Agent-Based Retrieval Tools.Post Proceedings Book of the 4th International Workshop DART 2010, Geneva, Switzerland, June 18, 2010.Written by Leading Experts in the Field
学科分类Studies in Computational Intelligence
图书封面Titlebook: Advances in Distributed Agent-Based Retrieval Tools;  Vincenzo Pallotta,Alessandro Soro,Eloisa Vargiu Book 2011 Springer Berlin Heidelberg
影响因子.This volume contains revised and extended versions of papers presented at the 4th edition of the international workshop on Distributed and Agent-based Retrieval Tools (DART‘10) held in June 2010, in conjunction with the Symposium on Human Language Technology for the Information Society, in Geneva, Switzerland. Practitioners and researchers working on pervasive and intelligent access to web services and distributed information retrieval met to share their results and insights in intriguing and challenging topics such as: (i) social media and collaboration, (ii) new challenges in search technology, (iii) sentiment analysis and opinion mining, (iv) distributed information retrieval, (v) pervasive intelligence. Every chapter, before discussing in depth the specific topic, presents a comprehensive review of related work and state of the art, in the hope of this volume to be of use in the years to come, to both researchers and students..
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,Linguistically-Based Reranking of Google’s Snippets with GreG,978-1-137-46811-6
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Sensor Mining for User Behavior Profiling in Intelligent Environments,978-1-137-35417-4
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Advances in Distributed Agent-Based Retrieval Tools
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1860-949X (v) pervasive intelligence. Every chapter, before discussing in depth the specific topic, presents a comprehensive review of related work and state of the art, in the hope of this volume to be of use in the years to come, to both researchers and students..978-3-662-50675-2978-3-642-21384-7Series ISSN 1860-949X Series E-ISSN 1860-9503
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Content Data Based Schema Matchingn process of the best snippet that can answer a question improves enormously the performance. In another experiment we used the actual texts associated to the Q/A pairs distributed by one of TREC’s participant and got even higher accuracy.
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Opinion Mining and Sentiment Analysis Need Text Understanding,ct, as well as longer-term food assistance to promote agricultural productivity, advance rural development, and preserve natural environments. The concluding chapter considers ways to strengthen food aid and assistance in the years to come, with many of the recommendations advanced reflecting lesson
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