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» Models for Incomplete and Probabilistic Information
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RECSYS
2009
ACM
15 years 5 months ago
Collaborative prediction and ranking with non-random missing data
A fundamental aspect of rating-based recommender systems is the observation process, the process by which users choose the items they rate. Nearly all research on collaborative ď¬...
Benjamin M. Marlin, Richard S. Zemel
ICASSP
2008
IEEE
15 years 5 months ago
Unsupervised optimal phoneme segmentation: Objectives, algorithm and comparisons
Phoneme segmentation is a fundamental problem in many speech recognition and synthesis studies. Unsupervised phoneme segmentation assumes no knowledge on linguistic contents and a...
Yu Qiao, Naoya Shimomura, Nobuaki Minematsu
EEE
2005
IEEE
15 years 4 months ago
Feature Selection Methods for Conversational Recommender Systems
This paper focuses on question selection methods for conversational recommender systems. We consider a scenario, where given an initial user query, the recommender system may ask ...
Nader Mirzadeh, Francesco Ricci, Mukesh Bansal
ITCC
2005
IEEE
15 years 4 months ago
A Web Recommendation System Based on Maximum Entropy
We propose a Web recommendation system based on a maximum entropy model. Under the maximum entropy principle, we can combine multiple levels of knowledge about users’ navigation...
Xin Jin, Bamshad Mobasher, Yanzan Zhou
74
Voted
SIGIR
2005
ACM
15 years 4 months ago
Relevance weighting for query independent evidence
A query independent feature, relating perhaps to document content, linkage or usage, can be transformed into a static, per-document relevance weight for use in ranking. The challe...
Nick Craswell, Stephen E. Robertson, Hugo Zaragoza...