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On over-specialization and concentration bias of recommendations: probabilistic neighborhood selection in collaborative filtering systems.

, и . RecSys, стр. 153-160. ACM, (2014)

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Recommendation opportunities: improving item prediction using weighted percentile methods in collaborative filtering systems., и . RecSys, стр. 351-354. ACM, (2013)Beyond rating prediction accuracy: on new perspectives in recommender systems.. RecSys, стр. 459-462. ACM, (2013)The Business Value of Recommendations: A Privacy-Preserving Econometric Analysis., и . ICIS, Association for Information Systems, (2015)The Effectiveness of Marketing Strategies in Social Media: Evidence from Promotional Events., и . KDD, стр. 1641-1650. ACM, (2015)Personality-Based Recommendations: Evidence from Amazon.com., и . RecSys Posters, том 1441 из CEUR Workshop Proceedings, CEUR-WS.org, (2015)On Unexpectedness in Recommender Systems: Or How to Expect the Unexpected., и . DiveRS@RecSys, том 816 из CEUR Workshop Proceedings, стр. 11-18. CEUR-WS.org, (2011)Vocational Education and Training Apprenticeship: Using Teaching and Learning Analytics in a Learning Management System for improved Collaboration, Individual Empowerment and Development of Apprentices., , , и . EDUCON, стр. 1775-1782. IEEE, (2020)Demand Effects of the Internet-of-Things Sales Channel: Evidence from Automating the Purchase Process., , и . Inf. Syst. Res., 32 (1): 238-267 (2021)On discovering non-obvious recommendations: using unexpectedness and neighborhood selection methods in collaborative filtering systems.. WSDM, стр. 655-660. ACM, (2014)On over-specialization and concentration bias of recommendations: probabilistic neighborhood selection in collaborative filtering systems., и . RecSys, стр. 153-160. ACM, (2014)