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LWA
2007
9 years 8 months ago
Towards Learning User-Adaptive State Models in a Conversational Recommender System
Typical conversational recommender systems support interactive strategies that are hard-coded in advance and followed rigidly during a recommendation session. In fact, Reinforceme...
Tariq Mahmood, Francesco Ricci
ENTER
2008
Springer
9 years 8 months ago
Adaptive Recommender Systems for Travel Planning
Conversational recommender systems have been introduced in Travel and Tourism applications in order to support interactive dialogues which assist users in acquiring their goals, e...
Tariq Mahmood, Francesco Ricci, Adriano Venturini,...
ACMICEC
2008
ACM
272views ECommerce» more  ACMICEC 2008»
9 years 8 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
AH
2006
Springer
9 years 10 months ago
A Comparative Study of Compound Critique Generation in Conversational Recommender Systems
Abstract. Critiquing techniques provide an easy way for users to feedback their preferences over one or several attributes of the products in a conversational recommender system. W...
Jiyong Zhang, Pearl Pu
ICCBR
2003
Springer
10 years 4 days ago
On the Role of Diversity in Conversational Recommender Systems
In the past conversational recommender systems have adopted a similarity-based approach to recommendation, preferring cases that are similar to some user query or profile. Recent ...
Lorraine McGinty, Barry Smyth
SGAI
2004
Springer
10 years 8 days ago
Incremental Critiquing
Conversational recommender systems guide users through a product space, alternatively making concrete product suggestions and eliciting the user’s feedback. Critiquing is a comm...
James Reilly, Kevin McCarthy, Lorraine McGinty, Ba...
AH
2004
Springer
10 years 10 days ago
On the Dynamic Generation of Compound Critiques in Conversational Recommender Systems
Conversational recommender systems help to guide users through a product-space towards a particular product that meets their specific requirements. During the course of a “conve...
Kevin McCarthy, James Reilly, Lorraine McGinty, Ba...
AH
2006
Springer
10 years 27 days ago
Ways of Computing Diverse Collaborative Recommendations
Abstract. Conversational recommender systems adapt the sets of products they recommend in light of user feedback. Our contribution here is to devise and compare four different mec...
Derek G. Bridge, John Paul Kelly
RECSYS
2009
ACM
10 years 1 months ago
Regret-based optimal recommendation sets in conversational recommender systems
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...
Paolo Viappiani, Craig Boutilier
HT
2009
ACM
10 years 1 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
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