03255nam 2200637Ia 450 991043805470332120200520144314.01-283-62441-997866139368681-4614-4702-X10.1007/978-1-4614-4702-3(CKB)2670000000245716(EBL)993940(OCoLC)808631513(SSID)ssj0000738728(PQKBManifestationID)11407224(PQKBTitleCode)TC0000738728(PQKBWorkID)10673218(PQKB)10642074(DE-He213)978-1-4614-4702-3(MiAaPQ)EBC993940(PPN)258862017(PPN)168300966(EXLCZ)99267000000024571620120913h20122013 uy 0engur|n|---|||||txtccrPersuasive recommender systems conceptual background and implications /Kyung-Hyan Yoo, Ulrike Gretzel, Markus Zanker1st ed. 2013.New York Springer2012, c20131 online resource (61 p.)SpringerBriefs in electrical and computer engineeringDescription based upon print version of record.1-4614-4701-1 Includes bibliographical references.Introduction -- Theoretical Background -- Source Factors -- Message Factors -- Receiver and Context Factors -- Discussion -- Implications for Recommender System Design -- Directions for future research.Whether users are likely to accept the recommendations provided by a recommender system is of utmost importance to system designers and the marketers who implement them. By conceptualizing the advice seeking and giving relationship as a fundamentally social process, important avenues for understanding the persuasiveness of recommender systems open up. Specifically, research regarding influential factors in advice seeking relationships, which is abundant in the context of human-human relationships, can provide an important framework for identifying potential influence factors in recommender system context. This book reviews the existing literature on the factors in advice seeking relationships in the context of human-human, human-computer, and human-recommender system interactions. It concludes that many social cues that have been identified as influential in other contexts have yet to be implemented and tested with respect to recommender systems. Implications for recommender system research and design are discussed.SpringerBriefs in Electrical and Computer Engineering,2191-8112Recommender systems (Information filtering)Personal communication service systemsRecommender systems (Information filtering)Personal communication service systems.006.331019Yoo Kyung-Hyan1060086Gretzel Ulrike1710941Zanker Markus1750478MiAaPQMiAaPQMiAaPQBOOK9910438054703321Persuasive recommender systems4185116UNINA