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Fair Effect Attribution in Parallel Online Experiments., , , , , and . WWW (Companion Volume), page 77-83. ACM, (2022)Knowledge-aware Autoencoders for Explainable Recommender Systems., , , , and . DLRS@RecSys, page 24-31. ACM, (2018)An Analysis on Time- and Session-aware Diversification in Recommender Systems., , , , , and . UMAP, page 270-274. ACM, (2017)Querying deep web data sources as linked data., , , , , and . WIMS, page 32:1-32:7. ACM, (2017)Exploiting Knowledge Graphs for Auto-Encoding User Ratings in Recommender Systems., , , and . IIR, volume 2140 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)On the Role of Time and Sessions in Diversifying Recommendation Results., , , , , and . IIR, volume 1911 of CEUR Workshop Proceedings, page 92-96. CEUR-WS.org, (2017)Knowledge-Aware Interpretable Recommender Systems., , , and . Knowledge Graphs for eXplainable Artificial Intelligence, volume 47 of Studies on the Semantic Web, IOS Press, (2020)Low-variance estimation in the Plackett-Luce model via quasi-Monte Carlo sampling., , , , , and . CoRR, (2022)GUapp: A Conversational Agent for Job Recommendation for the Italian Public Administration., , , , , and . EAIS, page 1-7. IEEE, (2020)Contextual Position Bias Estimation Using a Single Stochastic Logging Policy., , , , , , , , and . LERI@RecSys, volume 3590 of CEUR Workshop Proceedings, page 55-61. CEUR-WS.org, (2023)