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A probabilistic approach for modelling user preferences in recommender systems: a case study on IBM watson analytics.

, , , , , , и . CASCON, стр. 38-47. IBM / ACM, (2017)

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Star Ratings versus Sentiment Analysis - A Comparison of Explicit and Implicit Measures of Opinions., и . HICSS, стр. 796-805. IEEE Computer Society, (2014)Preliminary investigation on user interaction with IBM watson analytics., , , , , , и . CASCON, стр. 218-225. IBM / ACM, (2016)A Novel Approach to Define and Model Contextual Features in Recommender Systems.. SIGIR, стр. 1161. ACM, (2016)Towards dynamic pricing for digital billboard advertising network in smart cities., , , , и . ISC2, стр. 1-6. IEEE, (2015)A probabilistic approach for modelling user preferences in recommender systems: a case study on IBM watson analytics., , , , , , и . CASCON, стр. 38-47. IBM / ACM, (2017)News Article Position Recommendation Based on the Analysis of Article's Content - Time Matters., , , и . CBRecSys@RecSys, том 1673 из CEUR Workshop Proceedings, стр. 11-14. CEUR-WS.org, (2016)How to Effectively Train IBM Watson: Classroom Experience., , , и . HICSS, стр. 1663-1670. IEEE Computer Society, (2016)The Impact of Sentiment Analysis Output on Decision Outcomes: An Empirical Evaluation., и . AIS Trans. Hum. Comput. Interact., 9 (1): 1 (2017)Evidence based analytics - case studies., , , , и . CASCON, стр. 283. IBM / ACM, (2016)A replication study on implicit feedback recommender systems with application to the data visualization recommendation., , , , , , и . Expert Syst. J. Knowl. Eng., (2022)