Contextual Factors Involvement for Score Modeling under LambdaRank in Recommender Systems

Jing Yuan, Andreas Lommatzsch and Sahin Albayrak, workshop Women in Machine Learning, co-located with NIPS 2016, Barcelona, Spain, 4-5 Dec. 2016.

Applying Topic Model in Context-Aware TV Programs Recommendation

Jing Yuan, Andreas Lommatzsch and Mu Mu, track Knowledge Discovery, Data Mining and Machine Learning in LWDA, Potsdam, 12-14 Sept. 2016.

Clicks Pattern Analysis for Online News Recommendation Systems

Jing Yuan, Andreas Lommatzsch, Benjamin Kille, NEWSREEL (real-time news recommending challenge) in CLEF, Portugal, 2016

Context-aware LDA: Balancing Relevance and Diversity in TV Content Recommenders

Jing Yuan, Fikret Sivrikaya, Frank Hopfgartner, Andreas Lommatzsch and Mu Mu, workshop RecSysTV in conjunction with RecSys, Vienna Austria, Sept. 2015.

How Adaptive Aggregate Contextual Recommender Benefits IP-based TV Services

Jing Yuan, Doctoral Consortium in ACM International Conference on TVX, Newcastle upon Tyne, UK, 26th~27th Jun. 2014.

When to Recommend What? A Study on the Role of Contextual Factors in IP-Based TV Services

Jing Yuan, Fikret Sivrikaya, Stefan Marx, Frank Hopfgartner, Workshop Mind the Gap, Berlin, Germany, 4th Mar. 2014, honored with Best Paper Award

Research on the Technology of Video Semantic Retrieval Based on Structured Semantic Strings

Jing Yuan, Quan Zheng, Zhijun Sun, Song Wang, International Conference on Intelligent Systems and Knowledge Engineering, Shanghai, China, Dec. 15th~17th, 2011

Semantic Retrieval based on Shallow Semantic Analysis Technology (in Chinese)

Zhi-jun Sun, Quan Zheng, Jing Yuan, Heng Liu, Song Wang, Journal of Computer Science, June, 2012

Image Noise Detection Technology based on Spatial Domain (in Chinese)

Yan-fei Yu, Quan Zheng, Song Wang, Wei Li, Jing Yuan, Zhi-jun Sun, Journal of Computer Applications, June, 2012

An MPEG-7 Based Video Semantic Retrieval System (in Chinese)

Quan Zheng, Shaobo Li, Zhi-jun Sun, Jing Yuan, Song Wang, Journal of Computer Application and Software, May, 2012