| 书目名称 | Intelligent Information Access | | 编辑 | Giuliano Armano,Marco Gemmis,Eloisa Vargiu | | 视频video | | | 概述 | Recent research on Intelligent Information Access.State-of-the-art book.Writteny by leading experts in this field | | 丛书名称 | Studies in Computational Intelligence | | 图书封面 |  | | 描述 | Intelligent Information Access techniques attempt to overcome the limitations ofcurrent search devices by providing personalized information items and product/service recommendations. They normally utilize direct or indirect user input andfacilitate the information search and decision processes, according to user needs,preferences and usage patterns. Recent developments at the intersection of InformationRetrieval, Information Filtering, Machine Learning, User Modelling, NaturalLanguage Processing and Human-Computer Interaction offer novel solutions thatempower users to go beyond single-session lookup tasks and that aim at servingthe more complex requirement: “Tell me what I don’t know that I need to know”.Information filtering systems, specifically recommender systems, have been revolutionizingthe way information seekers find what they want, because they effectivelyprune large information spaces and help users in selecting items that best meet theirneeds and preferences. Recommender systems rely strongly on the use of variousmachine learning tools and algorithms for learning how to rank, or predict userevaluation, of items. Information Retrieval systems, on the other hand, also att | | 出版日期 | Book 2010 | | 关键词 | Computational Intelligence; Intelligent Information Access; Technologie; data mining; development; emotio | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-642-14000-6 | | isbn_softcover | 978-3-642-26387-3 | | isbn_ebook | 978-3-642-14000-6Series ISSN 1860-949X Series E-ISSN 1860-9503 | | issn_series | 1860-949X | | copyright | Springer-Verlag Berlin Heidelberg 2010 |
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发表于 2025-3-21 19:02:30
