Contents




Topics of interest


The goal of the workshop is to bring together researchers and practitioners interested in addressing the challenges posed by information heterogeneity in recommender systems, and studying information fusion in this context.

Topics of interest include, but are not limited to:

  • Fusion of user profiles from different representations, e.g. ratings, text reviews, tags, and bookmarks
  • Combination of short- and long-term user preferences
  • Combination of different types of user preferences: tastes, interests, needs, goals, mood
  • Cross-domain recommendation, based on user preferences about different interest aspects, e.g. by merging movie and music tastes
  • Cross-representation recommendation, considering diverse sources of user preferences: explicit and implicit feedback
  • Recommendation of resources of different nature: news, reviews, scientific papers, etc.
  • Recommendation of resources belonging to different multimedia: text, image, audio, video
  • Recommendation of diverse resources, e.g. according to content attributes, and user consuming behaviors
  • Recommendation of resources annotated in different languages
  • Contextualization of multiple user preferences, e.g. by distinguishing user preferences at work and on holidays
  • Cross-context recommendation, e.g. by merging information about location, time and social aspects
  • Multi-dimensional recommendation based on several contextual features, e.g. physical and social environment, device and network settings, and external events
  • Multi-criteria recommendation, exploiting ratings and evaluations about various user/item characteristics
  • Group recommendation, oriented to several users, e.g. suggesting tourist attractions to a group of friends, and suggesting a TV show to a family

2nd International Workshop on Information Heterogeneity and Fusion in Recommender Systems (HetRec 2011)
5th ACM Conference on Recommender Systems (RecSys 2011)
23rd-27th October 2011 | Chicago, IL, USA