The field of the proposed project is opinion dynamics which involves the mathematical modeling of how groups of agents (people) influence one anothers’ opinions. This is very much a cross-disciplinary field, involving work by physicists, computer scientists, robotics engineers and, of course, social scientists. Mathematically, it is still very young, with a shortage of rigorous theorems even at...

User feedback is vital in many recommender systems to help guide the search for good recommendations. Preference-based feedback (e.g. "Show me more like item A ") is an inherently ambiguous form of feedback with a limited ability to guide the recommendation process, and for this reason it is usually avoided. Nevertheless we believe that certain domains demand the use of preference-based feedbac...

Stacia Nordin I appreciate Zlotkin and colleagues’ years of work on the Sprinkle product, and it sounds like the product is much improved from the pill form of micronutrient treatments [1]. I’m not at all opposed to Sprinkle-type products or other nutrient pills for treatment (or in other special situations), but as ten years of international work experience on food and nutrition security issue...

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ery suggestions help users re€ne their queries a‰er they input an initial query. We consider the task of generating query suggestions that are personalized and diversi€ed. We propose a personalized query suggestion diversi€cation model (PQSD), where a user’s long-term search behavior is injected into a basic greedy query suggestion diversi€cation model (G-QSD) that considers a user’s search co...

Suggestion.?By L. Tuckky. Demy 8voPages xiv and 413. Price 21 jnet. London, 1921: Bail,ue;re, Tindaij, and Cox. This book has reached the Seventh Edition and so has obviously been very popular. .The reason for its popularity will be apparent to all who read the volume. It contains numerous accounts of interesting cases in which treatment by suggestion has been of service. These are given ' with...

At the Web Intelligence conference in 2009, Jiang, Zilles, and Holte introduced a novel approach to query suggestion based on query search (QSQS), as well as a system-centered evaluation method. For each potentially relevant document, QSQS creates a complex query—called a lexical alias for the document— that ranks the document in its top 20. A technique called Query Search then builds query sug...