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Information Processing and Management: an International Journal
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Information Processing and Management: an International Journal
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ACM Transactions on Information Systems (TOIS)
Output-sensitive autocompletion search
Information Retrieval
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Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
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AFIPS '68 (Fall, part I) Proceedings of the December 9-11, 1968, fall joint computer conference, part I
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Extending autocompletion to tolerate errors
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APWEB '10 Proceedings of the 2010 12th International Asia-Pacific Web Conference
Context-sensitive query auto-completion
Proceedings of the 20th international conference on World wide web
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DEXA'05 Proceedings of the 16th international conference on Database and Expert Systems Applications
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Why the magic number seven plus or minus two
Mathematical and Computer Modelling: An International Journal
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Autocompletion systems support users in the formulation of queries in different computer systems, from development environments to the web. In this paper we describe Composite Match Autocompletion (COMMA), a lightweight approach to the introduction of semantics in the realization of a semi-structured data auto completion matching algorithm. The approach is formally described, then it is applied and evaluated with specific reference to the e-commerce context. The semantic extension to the matching algorithm exploits available information about product categories and distinguishing features of products to enhance the elaboration of exploratory queries. COMMA supports a seamless management of both targeted/precise queries and exploratory/vague ones, combining different filtering and scoring techniques. The algorithm is evaluated with respect both to effectiveness and efficiency in a real-world scenario: the achieved improvement is significant and not associated to a sensible increase of computational costs.