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FSS
2008
108views more  FSS 2008»
13 years 8 months ago
A collaborative recommender system based on probabilistic inference from fuzzy observations
The problem of building recommender systems has attracted considerable attention in recent years. The objective of this paper is to automatically suggest and rank a list of new it...
Luis M. de Campos, Juan M. Fernández-Luna, ...
ACMICEC
2008
ACM
272views ECommerce» more  ACMICEC 2008»
13 years 10 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
2005
ACM
14 years 2 months ago
An industrial-strength content-based music recommendation system
We present a metadata free system for the interaction with massive collections of music, the MusicSurfer. MusicSurfer automatically extracts descriptions related to instrumentatio...
Pedro Cano, Markus Koppenberger, Nicolas Wack
WWW
2009
ACM
14 years 9 months ago
Spatio-temporal models for estimating click-through rate
We propose novel spatio-temporal models to estimate clickthrough rates in the context of content recommendation. We track article CTR at a fixed location over time through a dynam...
Deepak Agarwal, Bee-Chung Chen, Pradheep Elango
WWW
2007
ACM
14 years 9 months ago
Google news personalization: scalable online collaborative filtering
Several approaches to collaborative filtering have been studied but seldom have studies been reported for large (several million users and items) and dynamic (the underlying item ...
Abhinandan Das, Mayur Datar, Ashutosh Garg, ShyamS...