Proceedings of the 2nd ACM Conference on Electronic Commerce 2000
DOI: 10.1145/352871.352887
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Analysis of recommendation algorithms for e-commerce

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Cited by 1,436 publications
(853 citation statements)
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“…Results point out that bipolarity may lead to recommendation strategies that are more consistent with the human interpretation of other's ratings. It is commonly acknowledged that the most important errors to avoid in e-commerce recommendations are false positives -as pointed out in [9]-, since they may lead to "angry customers". In consequence, bipolar approaches may eventually be more appropriate to reduce false positives, due to its consideration of negative ratings as inhibitors of the recommendation process.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Results point out that bipolarity may lead to recommendation strategies that are more consistent with the human interpretation of other's ratings. It is commonly acknowledged that the most important errors to avoid in e-commerce recommendations are false positives -as pointed out in [9]-, since they may lead to "angry customers". In consequence, bipolar approaches may eventually be more appropriate to reduce false positives, due to its consideration of negative ratings as inhibitors of the recommendation process.…”
Section: Discussionmentioning
confidence: 99%
“…CF systems proceed by first matching the target user against the user database to discover neighbors -i.e. users that have historically had similar preferences -, and then recommending products that neighbors like, since it is assumed that the target user will "probably" also like them [9]. Other recommendation approaches are content-based, i.e.…”
Section: Introductionmentioning
confidence: 99%
“…The clustering of items have been studied in [14,15]. And models based on association rules have been studied in [16,17].…”
Section: Model-based Approachesmentioning
confidence: 99%
“…However, it is known that the collaborative filtering approach has some deficiency, see e.g. [5][6][7][8], and some optimization strategies have been proposed in [9][10][11] to overcome such shortcomings. More recently, a personal browsing assistant system is developed in [12], where the pre-fetched resources from the hyper-linked Web pages are compared so as to recommend which Web page should be requested next.…”
Section: Introductionmentioning
confidence: 99%