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Implications of psychological phenomenons for recommender systems.

. RecSys, page 323-326. ACM, (2008)

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Minimization of decoy effects in recommender result sets., and . Web Intell. Agent Syst., 10 (4): 385-395 (2012)On the complexity of the partner units decision problem.. Artif. Intell., (2017)Dispatching Rules Revisited-A Large Scale Job Shop Scheduling Experiment.. SSCI, page 561-568. IEEE, (2018)Calculating Decoy Items in Utility-Based Recommendation., and . IEA/AIE, volume 5579 of Lecture Notes in Computer Science, page 183-192. Springer, (2009)Types of Flexible Job Shop Scheduling: A Constraint Programming Experiment.. ICAART (3), page 516-523. SCITEPRESS, (2022)Industrial Size Job Shop Scheduling Tackled by Present Day CP Solvers., and . CP, volume 11802 of Lecture Notes in Computer Science, page 144-160. Springer, (2019)Tractability frontiers of the partner units configuration problem., , and . J. Comput. Syst. Sci., 82 (5): 739-755 (2016)Symbolic Artificial Intelligence Methods for Prescriptive Analytics., , and . Digital Transformation, Springer, (2022)Minimization of Product Utility Estimation Errors in Recommender Result Set Evaluations., and . Web Intelligence, page 20-27. IEEE Computer Society, (2009)Impacts of Decoy Effects on the Decision Making Ability., , and . CEC, page 112-119. IEEE Computer Society, (2010)