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Escaping the McNamara Fallacy: Toward More Impactful Recommender Systems Research

, and . AI Magazine, 41 (4): 79-95 (December 2020)
DOI: 10.1609/aimag.v41i4.5312

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Using graded implicit feedback for bayesian personalized ranking., and . RecSys, page 353-356. ACM, (2014)A case study on the effectiveness of recommendations in the mobile internet., and . RecSys, page 205-208. ACM, (2009)Contextual Hybrid Session-Based News Recommendation With Recurrent Neural Networks., , and . IEEE Access, (2019)A Knowledge-Based Framework for the Rapid Development of Conversational Recommenders., and . WISE, volume 3306 of Lecture Notes in Computer Science, page 390-402. Springer, (2004)RSWeb '12: Proceedings of the 4th ACM RecSys workshop on Recommender systems and the social web, , , and . New York, NY, USA, ACM, (2012)609126.Learning to rank hotels for search and recommendation from session-based interaction logs and meta data., and . RecSys Challenge, page 5:1-5:5. ACM, (2019)Conversational recommendation: Theoretical model and complexity analysis., , , , and . Inf. Sci., (2022)Intelligente Produktkonfiguratoren als Voraussetzung für ma\"sgeschneiderte Massenprodukte, , and . Elektrotechnik und Informationstechnik, 116 (3): 201--207 (1999)Consistency-based diagnosis of configuration knowledge bases, , , and . Artificial Intelligence, (February 2004)Explaining Online Recommendations Using Personalized Tag Clouds., , and . i-com, 10 (1): 3-10 (2011)