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One-to-one marketing in grocery retailing
Gabel, Sebastian - 2019
Persistent link: https://www.econbiz.de/10012104595
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Evaluating multi-label classifiers and recommender systems in the financial service sector
Bogaert, Matthias; Lootens, Justine; Van den Poel, Dirk; … - In: European journal of operational research : EJOR 279 (2019) 2, pp. 620-634
Persistent link: https://www.econbiz.de/10012110737
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Self-authored interest profiles for personalised recommendations
Binns, Reuben - In: International journal of internet marketing and … 10 (2016) 3, pp. 207-222
Persistent link: https://www.econbiz.de/10011665140
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Choice-based recommender systems : a unified approach to achieving relevancy and diversity
Jiang, Hai; Qi, Xin; Sun, He - In: Operations research 62 (2014) 5, pp. 973-993
Persistent link: https://www.econbiz.de/10010494094
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Trust beyond reputation : a computational trust model based on stereotypes
Liu, Xin; Datta, Anwitaman; Rzadca, Krysztof - In: Electronic commerce research and applications 12 (2013) 1, pp. 24-39
Persistent link: https://www.econbiz.de/10010504895
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Experimental evaluation of sequential bias in online customer reviews
Eryarsoy, Enes; Piramuthu, Selwyn - In: Information & management : the internat. journal of … 51 (2014) 8, pp. 964-971
Persistent link: https://www.econbiz.de/10010466522
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Making recommendations more effective through framings : impacts of user- versus item-based framings on recommendation click-throughs
Gai, Phyliss Jia; Klesse, Anne-Kathrin - In: Journal of marketing 83 (2019) 6, pp. 61-75
Persistent link: https://www.econbiz.de/10012176265
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Taming the complexity in search matching : two-sided recommender systems on digital platforms
Malgonde, Onkar; Zhang, He; Padmanabhan, Balaji; … - In: MIS quarterly 44 (2020) 1, pp. 48-84
Persistent link: https://www.econbiz.de/10012203888
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Understanding the impact of individual users' rating characteristics on the predictive accuracy of recommender systems
Cheng, Xiaoye; Zhang, Jingjing; Yan, Lu - In: INFORMS journal on computing : JOC 32 (2020) 2, pp. 303-320
Persistent link: https://www.econbiz.de/10012242760
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Mining trips from location-based social networks for clustering travelers and destinations
Dietz, Linus; Sen, Avradip; Roy, Rinita; Wörndl, Wolfgang - In: Information technology & tourism 22 (2020) 1, pp. 131-166
Persistent link: https://www.econbiz.de/10012226366