A statistical interpretation of term specificity and its application in retrieval
Document retrieval systems
Conversation map: a content-based Usenet newsgroup browser
Proceedings of the 5th international conference on Intelligent user interfaces
Explaining collaborative filtering recommendations
CSCW '00 Proceedings of the 2000 ACM conference on Computer supported cooperative work
Proceedings of the 11th international conference on World Wide Web
Methods and metrics for cold-start recommendations
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
HICSS '99 Proceedings of the Thirty-Second Annual Hawaii International Conference on System Sciences-Volume 2 - Volume 2
The Journal of Machine Learning Research
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
An Optimization-based Approach to Dynamic Visual Context Management
INFOVIS '05 Proceedings of the Proceedings of the 2005 IEEE Symposium on Information Visualization
Conversational Collaborative Recommendation --- An Experimental Analysis
Artificial Intelligence Review
ICML '06 Proceedings of the 23rd international conference on Machine learning
Naïve filterbots for robust cold-start recommendations
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Hybrid critiquing-based recommender systems
Proceedings of the 12th international conference on Intelligent user interfaces
Learning and adaptivity in interactive recommender systems
Proceedings of the ninth international conference on Electronic commerce
Conversational recommenders with adaptive suggestions
Proceedings of the 2007 ACM conference on Recommender systems
Improving new user recommendations with rule-based induction on cold user data
Proceedings of the 2007 ACM conference on Recommender systems
PeerChooser: visual interactive recommendation
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Generating summary keywords for emails using topics
Proceedings of the 13th international conference on Intelligent user interfaces
Tied boltzmann machines for cold start recommendations
Proceedings of the 2008 ACM conference on Recommender systems
Tagsplanations: explaining recommendations using tags
Proceedings of the 14th international conference on Intelligent user interfaces
ICDM '08 Proceedings of the 2008 Eighth IEEE International Conference on Data Mining
Topic-link LDA: joint models of topic and author community
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Combining link and content for community detection: a discriminative approach
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Efficient methods for topic model inference on streaming document collections
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Pairwise preference regression for cold-start recommendation
Proceedings of the third ACM conference on Recommender systems
Personalized recommendation of social software items based on social relations
Proceedings of the third ACM conference on Recommender systems
MoviExplain: a recommender system with explanations
Proceedings of the third ACM conference on Recommender systems
Using twitter to recommend real-time topical news
Proceedings of the third ACM conference on Recommender systems
Topic and keyword re-ranking for LDA-based topic modeling
Proceedings of the 18th ACM conference on Information and knowledge management
Chinese online communities: balancing managementcontrol and individual autonomy
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Transfer learning in heterogeneous collaborative filtering domains
Artificial Intelligence
A field study of a visual controllable talk recommender
Proceedings of the 2013 Chilean Conference on Human - Computer Interaction
See what you want to see: visual user-driven approach for hybrid recommendation
Proceedings of the 19th international conference on Intelligent User Interfaces
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Content-centric social Web sites, such as discussion forums and blog sites, have flourished during the past several years. These sites often contain overwhelming amounts of information that are also being updated rapidly. To help users locate their interests at such sites (e.g., interesting blogs to read or discussion forums to join), researchers have developed a number of recommendation technologies. However, it is difficult to make effective recommendations for new users (a.k.a. the cold start problem) due to a lack of user information (e.g., preferences and interests). Furthermore, the complexity of recommendation algorithms often prevents users from comprehending let alone trusting the recommended results. To tackle these above two challenges, we are building a social map-based recommender system called Pharos. A social map summarizes users’ content-related social behavior over time (e.g., reading, writing, and commenting behavior during the past week) as a set of latent communities. For a given time interval, each community is characterized by the theme of the content being discussed and the key people involved. By discovering, ranking, and displaying the most popular latent communities at different time intervals, Pharos creates a time-sensitive, visual social map of a Web site. This enables new users to obtain a quick overview of the site, alleviating the cold start problem. Furthermore, we use the social map as a context to help explain Pharos-recommended content and people. Users can also interactively explore the social map to locate the content in which they are interested or people that are not being explicitly recommended, compensating for the imperfections in the recommendation algorithms. We have developed several Pharos applications, one of which is deployed within our company. Our preliminary evaluation of the deployed application shows the usefulness of Pharos.