The international workshop IFUP 2018 will be co-located with WSDM 2018: The 11th ACM International Conference on Web Search and Data Mining, to be held in Los Angeles, California during Feb 6-8, 2018.
Real-world systems accumulate large-scale and various kinds of multimodal information rapidly, including but not limited to text, image, video, audio, social relations, meta data, etc. Such information has been incorporated in many recommendation models and systems to promote the performance and user experience, giving rise to some of the recent and/or classical topics in recommender system, such as review-based recommendation, image-based recommendation, explainable recommendation, deep learning for recommendation, POI recommendation, video/music recommendation, and many others.
Integrating multimodal side information is not a trivial task, because information may be either homogenous or heterogeneous, which requires more advanced method for information fusion and alignment. Besides, different information may play distinct roles for different domains, users, and tasks, and the availability of new information source may even lead to completely new recommendation research tasks. As a result, it needs significant efforts from both the research community and industry to promote the recommendation system research and application in face of the various information sources.
IFUP 2018 aims to provide a dedicated forum for discussing open problems, challenges and innovative research approaches in fusing multi-dimensional information for user modelling and recommender systems. The major goal of this workshop is to promote advanced recommendation solutions that can be easily and readily deployed to meet industrial demands for personalized recommendation.
Topics of the workshop include but are not limited to:
We also welcome papers that are broadly related to the topics even if they are not explicitly listed above.
All workshop submissions must be formatted according to ACM SIG Proceedings template, and we welcome submissions either long or short format:
Authors should submit original papers in PDF format through the Easychair system at: https://easychair.org/conferences/?conf=ifup2018