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ACMICEC
2008
ACM
272views ECommerce» more  ACMICEC 2008»
13 years 9 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
SIGIR
2011
ACM
12 years 11 months ago
Collaborative competitive filtering: learning recommender using context of user choice
While a user’s preference is directly reflected in the interactive choice process between her and the recommender, this wealth of information was not fully exploited for learni...
Shuang-Hong Yang, Bo Long, Alexander J. Smola, Hon...
SIGIR
2011
ACM
12 years 11 months ago
Utilizing marginal net utility for recommendation in e-commerce
Traditional recommendation algorithms often select products with the highest predicted ratings to recommend. However, earlier research in economics and marketing indicates that a ...
Jian Wang, Yi Zhang
NOMS
2008
IEEE
14 years 2 months ago
SPIRIT: Service for providing infrastructure recommendations for IT
We present SPIRIT, a Service for Providing Infrastructure Recommendations for Information Technology. SPIRIT allows maintenance support providers for Small-to-Medium Businesses (S...
Ashwin Lall, Anca Sailer, Mark Brodie
ICALT
2007
IEEE
14 years 2 months ago
An Ontology-Based Framework for Authoring Assisted by Recommendation
In this paper, we propose the use of Semantic Web technologies to bridge the gap between authoring systems and authors. The core part of our solution is the ontology-based framewo...
Sasa Nesic, Dragan Gasevic, Mehdi Jazayeri