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» Query quality: user ratings and system predictions
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ACL
2008
13 years 6 months ago
Assessing Dialog System User Simulation Evaluation Measures Using Human Judges
Previous studies evaluate simulated dialog corpora using evaluation measures which can be automatically extracted from the dialog systems' logs. However, the validity of thes...
Hua Ai, Diane J. Litman
WEBI
2009
Springer
13 years 9 months ago
Estimating Ad Clickthrough Rate through Query Intent Analysis
Clickthrough rate and cost-per-click are known to be among the factors that impact the rank of an ad shown on a search result page. Hence, search engines can benefit from estimat...
Azin Ashkan, Charles L. A. Clarke, Eugene Agichtei...
RECSYS
2009
ACM
13 years 11 months ago
Rate it again: increasing recommendation accuracy by user re-rating
A common approach to designing Recommender Systems (RS) consists of asking users to explicitly rate items in order to collect feedback about their preferences. However, users have...
Xavier Amatriain, Josep M. Pujol, Nava Tintarev, N...
CORR
2007
Springer
95views Education» more  CORR 2007»
13 years 4 months ago
Slope One Predictors for Online Rating-Based Collaborative Filtering
Rating-based collaborative filtering is the process of predicting how a user would rate a given item from other user ratings. We propose three related slope one schemes with pred...
Daniel Lemire, Anna Maclachlan
ACL
2009
13 years 2 months ago
Predicting Barge-in Utterance Errors by using Implicitly-Supervised ASR Accuracy and Barge-in Rate per User
Modeling of individual users is a promising way of improving the performance of spoken dialogue systems deployed for the general public and utilized repeatedly. We define "im...
Kazunori Komatani, Alexander I. Rudnicky