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ACMICEC
2007
ACM
154views ECommerce» more  ACMICEC 2007»
13 years 8 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
FLAIRS
2006
13 years 6 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...
SSDBM
2009
IEEE
77views Database» more  SSDBM 2009»
13 years 11 months ago
Query Recommendations for Interactive Database Exploration
Abstract. Relational database systems are becoming increasingly popular in the scientific community to support the interactive exploration of large volumes of data. In this scenar...
Gloria Chatzopoulou, Magdalini Eirinaki, Neoklis P...
ACMICEC
2008
ACM
272views ECommerce» more  ACMICEC 2008»
13 years 6 months ago
Adapting the interaction state model in conversational recommender systems
Conventional conversational recommender systems support interaction strategies that are hard-coded into the system in advance. In this context, Reinforcement Learning techniques h...
Tariq Mahmood, Francesco Ricci
PERCOM
2009
ACM
13 years 11 months ago
A Mobile Product Recommendation System Interacting with Tagged Products
— This paper presents a concept that enables consumers to access and share product recommendations using their mobile phone. Based on a review of current product recommendation m...
Felix von Reischach, Florian Michahelles, Dominiqu...