Jing Yuan

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Aktuelle Projektbeteiligung



Countering Contextual Bias in TV Watching Behavior: Introducing Social Trend as External Contextual Factor in TV Recommenders
Felix Lorenz, Jing Yuan, Andreas Lommatzsch, Mu Mu, Nicholas Race, Frank Hopfgartner, Sahin Albayrak
In: ACM TVX 2017, Hilversum, NL; 2017


Clicks Pattern Analysis for Online News Recommendation Systems
Jing Yuan, Andreas Lommatzsch, Benjamin Kille
In: In Working Notes of CLEF 2016, Evora, Portugal, September 5-8, 2016, CEUR Workshop Proceedings Vol-1609; 2016

Applying Topic Model in Context-Aware TV Programs Recommendation
Jing Yuan, Andreas Lommatzsch, Mu Mu
In: The Conference Lernen, Wissen, Daten, Analysen (LWDA) , Track Knowledge Discovery, Data Mining and Machine Learning (KDML), 12-14 Sept. Potsdam, Germany 2016; 2016

Contextual Factors Involvement for Score Modeling under LambdaRank in Recommender Systems
Jing Yuan, Andreas Lommatzsch, Sahin Albayrak
In: Workshop Women in Machine Learning (WiML), in conjunction with Neural Information Processing Systems (NIPS) , 4th-5th December, 2016; 2016


Context-aware LDA: Balancing Relevance and Diversity in TV Content Recommenders
Jing Yuan, Fikret Sivrikaya, Frank Hopfgartner, Andreas Lommatzsch, Mu Mu
In: Workshop RecsysTV, in conjunction with RecSys 2015, 19th Sept. Vienna, Austria; 2015


When to recommend What? A survey on the role of context factors in IP-based TV Services
Jing Yuan, Frank Hopfgartner, Fikret Sivrikaya, Stefan Marx
In: MindTheGap'14 Workshop, colocated with iConference'14, Berlin, Germany (BEST PAPER AWARD); 2014

How Adaptive Aggregate Contextual Recommender Benifits IP-based TV Services
Jing Yuan
In: Doctoral Consortium of ACM Conference on TVX 2014, Newcastle upon Tyne, UK; 2014