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169
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RECSYS
2009
ACM
16 years 14 days ago
2009
ACM
Current conversational recommender systems are unable to offer guarantees on the quality of their recommendations due to a lack of principled user utility models. We develop an ap...
150
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RECSYS
2009
ACM
16 years 14 days ago
2009
ACM
We propose FriendSensing, a framework that automatically suggests friends to mobile social-networking users. Using short-range technologies (e.g., Bluetooth) on her mobile phone, ...
159
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RECSYS
2009
ACM
16 years 14 days ago
2009
ACM
Collaborative Filtering (CF) recommendations are computed by leveraging a historical data set of users’ ratings for items. It assumes that the users’ previously recorded ratin...
156
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RECSYS
2009
ACM
15 years 10 months ago
2009
ACM
Robustness analysis research has shown that conventional memory-based recommender systems are very susceptible to malicious profile-injection attacks. A number of attack models h...
179
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RECSYS
2009
ACM
16 years 14 days ago
2009
ACM
With the advent of online social networks, the trust-based approach to recommendation has emerged which exploits the trust network among users and makes recommendations based on t...