Natural language processing is becoming more and more important in recommender systems. This half day workshop explores challenges and potential research directions in Recommender Systems (RSs) combining Natural Language Processing (NLP). The focus will be on stimulating discussions around how to combine natural language processing technologies with recommendation. We will talk about theoretical, experimental, and methodological studies that leverage NLP technologies to advance recommender systems, as well as emphasize the applicability in practical applications. The workshop aims to bring together a diverse set of researchers and practitioners interested in investigating the interaction between NLP and RSs to develop more intelligent RSs.
|08:40-9:25||Keynote (Jian-Yun Nie)|
|09:25-10:00||Invited talk (Julia Kiseleva)|
|10:30-11:15||Keynote (Julian McAuley)|
|11:20-11:50||Hands-on panel ( Jian-Yun Nie, Julia Kiseleva, Julian McAuley )|
PhD student at Data Analytics at Texas A&M (DATA) Lab.
Postdoctoral researcher at the Information and Language Processing Systems (ILPS) group, University of Amsterdam.
Professor at Shandong University.
Algorithm expert in Search & Recommendation Group at Alibaba.
Professor with the University of Science and Technology of China (USTC).
Senior Director of Research at JD.com.
University Professor of Artificial Intelligence and Information Retrieval at the University of Amsterdam