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ECWEB
2010
Springer
195views ECommerce» more  ECWEB 2010»
15 years 6 months ago
Comparing Techniques for Preference Relaxation: A Decision Theory Perspective
This research proposes a decision aid based on a novel type of preference relaxation, which enables consumers to easily make quality choices in online multiattribute choice scenari...
Maciej Dabrowski, Thomas Acton
KI
2002
Springer
15 years 4 months ago
Adaptivity through Unobstrusive Learning
In this paper, we present an approach for learning interest profiles implicitly from positive user observations only. This approach eliminates the need to prompt users for ratings...
Ingo Schwab, Alfred Kobsa
ACL
2010
15 years 3 months ago
Generating Fine-Grained Reviews of Songs from Album Reviews
Music Recommendation Systems often recommend individual songs, as opposed to entire albums. The challenge is to generate reviews for each song, since only full album reviews are a...
Swati Tata, Barbara Di Eugenio
CAISE
2011
Springer
14 years 8 months ago
Supporting Dynamic, People-Driven Processes through Self-learning of Message Flows
Abstract. Flexibility and automatic learning are key aspects to support users in dynamic business environments such as value chains across SMEs or when organizing a large event. Pr...
Christoph Dorn, Schahram Dustdar
SIGIR
2009
ACM
15 years 11 months ago
Temporal collaborative filtering with adaptive neighbourhoods
Recommender Systems, based on collaborative filtering (CF), aim to accurately predict user tastes, by minimising the mean error achieved on hidden test sets of user ratings, afte...
Neal Lathia, Stephen Hailes, Licia Capra