Difference between revisions of "UMAP 2013"

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(Created page with "The '''21st Conference on User Modeling, Adaptation and Personalization''' ('''UMAP 2013''') will be held from June 10 to June 14 in Rome, Italy. Recommender systems are e...")
 
 
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The '''21st Conference on User Modeling, Adaptation and Personalization''' ('''UMAP 2013''') will be held from June 10 to June 14 in Rome, Italy.
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#REDIRECT [[2013 Conference on User Modeling, Adaptation and Personalization]]
[[Recommender systems]] are explicitly mentioned in the [http://www.dia.uniroma3.it/~umap2013/?page_id=84 call for papers], both as an application domain and as purpose.
 
 
 
== External links ==
 
* http://www.dia.uniroma3.it/~umap2013/
 
* http://www.dia.uniroma3.it/~umap2013/?page_id=65
 
 
 
[[Category: Conference]]
 
[[Category: Event]]
 
 
 
== Papers ==
 
 
 
A list of papers that mention Recommender Systems / Collaborative Filtering / Personalization in their title:
 
 
 
* A Framework for Trust-based Multidisciplinary Team Recommendation. Lorenzo Bossi, Stefano Braghin, Anwitaman Datta and Alberto Trombetta.
 
 
 
* Combining Collaborative Filtering and Semantic Similarity for Expertise Recommendations in Social Websites. Alexandre Spaeth and Michel C. Desmarais.
 
 
 
* Cross-Domain Recommendation in a Cold-Start Context: The impact of User Profile Size on the Quality of Recommendation. Shaghayegh Sahebi and Peter Brusilovsky.
 
 
 
* Exploiting the Semantic Similarity of Contextual Situations for Pre-Filtering Recommendations. Victor Codina, Francesco Ricci and Luigi Ceccaroni.
 
 
 
* Interaction Based Content Recommendation in Online Communities. Surya Nepal, Cecile Paris, Payam Aghaei Pour, Jill Freyne and Sanat Kumar Bista.
 
Learning Likely Locations. John Krumm, Rich Caruana and Scott Counts.
 
 
 
* Opinion-Driven Matrix Factorization for Rating Prediction. Stefan Pero and Tomas Horvath.
 
 
 
* Personalized Access to Scientific Publications: From Recommendation to Explanation. Dario De Nart, Felice Ferrara and Carlo Tasso.
 
 
 
* Predicting Users’ Preference from Tag Relevance. Tien Nguyen and John Riedl.
 
 
 
* Recommendation for New Users with Partial Preferences via Incorporating Product Reviews. Feng Wang, Weike Pan and Li Chen.
 
 
 
* Recommendation with Differential Context Weighting. Yong Zheng, Robin Burke and Bamshad Mobasher.
 
 
 
* Recommending Topics for Web Curation. Zurina Saaya, Markus Schaal, Rachael Rafter and Barry Smyth.
 
 
 
* Scrutable User Models and Personalised Item Recommendation in Mobile Lifestyle Applications. Rainer Wasinger, James Wallbank, Luiz Pizzato, Judy Kay, Bob Kummerfeld, Matthias Böhmer and Antonio Krüger.
 
 
 
* What Recommenders Recommend — An Analysis of Accuracy, Popularity, and Sales Diversity Effects. Dietmar Jannach, Lukas Lerche, Fatih Gedikli and Geoffray Bonnin.
 

Latest revision as of 11:38, 3 April 2013