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...

Assessment for the TREC Contextual Suggestion Track is unusual in that it depends on the personal preferences of assessors. During the initial phase of the track, assessors rate points-of-interests in a source city (Philadelphia for TREC 2013) in terms of their own interests. These rankings are distributed to participating groups, who are given about a month to generate point-of-interest sugges...