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» Supporting User Query Relaxation in a Recommender System
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138
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EDBT
2012
ACM
299views Database» more  EDBT 2012»
13 years 6 months ago
RecStore: an extensible and adaptive framework for online recommender queries inside the database engine
Most recommendation methods (e.g., collaborative filtering) consist of (1) a computationally intense offline phase that computes a recommender model based on users’ opinions o...
Justin J. Levandoski, Mohamed Sarwat, Mohamed F. M...
HT
2009
ACM
15 years 10 months ago
Improving recommender systems with adaptive conversational strategies
Conversational recommender systems (CRSs) assist online users in their information-seeking and decision making tasks by supporting an interactive process. Although these processes...
Tariq Mahmood, Francesco Ricci
134
Voted
ACMICEC
2007
ACM
154views ECommerce» more  ACMICEC 2007»
15 years 7 months ago
Learning and adaptivity in interactive recommender systems
Recommender systems are intelligent E-commerce applications that assist users in a decision-making process by offering personalized product recommendations during an interaction s...
Tariq Mahmood, Francesco Ricci
115
Voted
EDBTW
2006
Springer
15 years 7 months ago
Towards Similarity-Based Topological Query Languages
Abstract. In recent times, the proliferation of spatial data on the Internet is beginning to allow a much larger audience to access and share data currently available in various Ge...
Alberto Belussi, Omar Boucelma, Barbara Catania, Y...
121
Voted
FLAIRS
2006
15 years 4 months ago
Improving Case-Based Recommendations Using Implicit Feedback
A recommender system suggests items to a user for a given query by personalizing the recommendations based on the user interests. User personalization is usually done by asking us...
Deepak Khemani, Mohamed A. K. Sadiq, Rakesh Bangan...