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Who will trade with whom?: predicting buyer-seller interactions in online trading platforms through social networks., , , and . WWW (Companion Volume), page 387-388. ACM, (2014)Tag-based information access in image collections: insights from log and eye-gaze analyses., , , and . Knowl. Inf. Syst., 61 (3): 1715-1742 (2019)User-controllable personalization: A case study with SetFusion., and . Int. J. Hum. Comput. Stud., (2015)IDM-WSDM 2019: Workshop on Interactive Data Mining., , , and . WSDM, page 846-847. ACM, (2019)Twitter in academic events: A study of temporal usage, communication, sentimental and topical patterns in 16 Computer Science conferences., , , , , and . Comput. Commun., (2016)Comparative social visualization for personalized e-learning, , , , , and . Proceedings of the International Working Conference on Advanced Visual Interfaces, page 303--307. New York, NY, USA, ACM, (2012)User-controllable Personalization, and . Int. J. Hum.-Comput. Stud., 78 (C): 43--67 (June 2015)Toward Finding Latent Cities with Non-Negative Matrix Factorization., , and . CoRR, (2018)Language, Twitter and Academic Conferences., , , , , and . CoRR, (2015)Analyzing Network Effects on a Fanfiction Community., , and . CoRR, (2019)