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Knowledge-based recommender technologies for marketing and sales

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dc.contributor.author Felfernig, A en
dc.contributor.author Teppan, E en
dc.contributor.author Gula, B en
dc.date.accessioned 2014-06-06T06:47:30Z
dc.date.available 2014-06-06T06:47:30Z
dc.date.issued 2007 en
dc.identifier.issn 0218-0014 en
dc.identifier.uri http://62.217.125.90/xmlui/handle/123456789/3628
dc.subject knowledge-based recommender technologies en
dc.subject user acceptance of recommender technologies en
dc.subject deployed applications en
dc.subject.classification Computer Science, Artificial Intelligence en
dc.subject.other SYSTEMS en
dc.title Knowledge-based recommender technologies for marketing and sales en
heal.type journalArticle en
heal.language English en
heal.publicationDate 2007 en
heal.abstract Recommender applications support decision-making processes by helping online customers to identify products more effectively. Recommendation problems have a long history as a successful application area of Artificial Intelligence (AI) and the interest in recommender applications has dramatically increased due to the demand for personalization technologies by large and successful e-Commerce environments. Knowledge-based recommender applications are especially useful for improving the accessibility of complex products such as financial services or computers. Such products demand a more profound knowledge from customers than simple products such as CDs or movies. In this paper we focus on a discussion of AI technologies needed for the development of knowledge-based recommender applications. In this context, we report experiences from commercial projects and present the results of a study which investigated key factors influencing the acceptance of knowledge-based recommender technologies by end-users. en
heal.publisher WORLD SCIENTIFIC PUBL CO PTE LTD en
heal.journalName INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE en
dc.identifier.issue 2 en
dc.identifier.volume 21 en
dc.identifier.isi ISI:000250955100009 en
dc.identifier.spage 333 en
dc.identifier.epage 354 en


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