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What is Recommendation Systems

Encyclopedia of Artificial Intelligence
Actions or content is suggested to the user based on past experience collected from other users. Very often, documents are recommended based on similarity profiles between users
Published in Chapter:
Artificial Intelligence for Information Retrieval
Thomas Mandl (University of Hildesheim, Germany)
Copyright: © 2009 |Pages: 6
DOI: 10.4018/978-1-59904-849-9.ch023
Abstract
This article describes the most prominent approaches to apply artificial intelligence technologies to information retrieval (IR). Information retrieval is a key technology for knowledge management. It deals with the search for information and the representation, storage and organization of knowledge. Information retrieval is concerned with search processes in which a user needs to identify a subset of information which is relevant for his information need within a large amount of knowledge. The information seeker formulates a query trying to describe his information need. The query is compared to document representations which were extracted during an indexing phase. The representations of documents and queries are typically matched by a similarity function such as the Cosine. The most similar documents are presented to the users who can evaluate the relevance with respect to their problem (Belkin, 2000). The problem to properly represent documents and to match imprecise representations has soon led to the application of techniques developed within Artificial Intelligence to information retrieval.
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More Results
Educational Personalized Contents in a Web Environment: The Virtual Museum Net of Magna Graecia
these are particular systems which support user’s decision process, focusing on profile, preferences and past actions. The opportunity to visualize only the information that better satisfy user’s needs reduces the information overload. Furthermore, the prompt availability of the information fitting the request, without the mental effort of a wide screening of materials, improves user’s learning and satisfaction.
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Approaches and Applications for Sentiment Analysis: A Literature Review
It is provided to the users for providing their views. This system also provides the development of a great corpus.
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