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» Relevance Feedback Models for Recommendation
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LWA
2007
13 years 10 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
SIGECOM
2004
ACM
127views ECommerce» more  SIGECOM 2004»
14 years 2 months ago
HYRIWYG: leveraging personalization to elicit honest recommendations
This paper presents HYRIWYG (How You Rate Influences What You Get), a reputation system applicable to Internet Recommendation Systems (RS). The novelty lies in the incentive mecha...
Ana Cristina Bicharra Garcia, Martin Ekstrom, Hans...
SIGIR
2008
ACM
13 years 8 months ago
Parsimonious relevance models
We describe a method for applying parsimonious language models to re-estimate the term probabilities assigned by relevance models. We apply our method to six topic sets from test ...
Edgar Meij, Wouter Weerkamp, Krisztian Balog, Maar...
ECIR
2004
Springer
13 years 10 months ago
A Simulated Study of Implicit Feedback Models
In this paper we report on a study of implicit feedback models for unobtrusively tracking the information needs of searchers. Such models use relevance information gathered from se...
Ryen W. White, Joemon M. Jose, C. J. van Rijsberge...
WISE
2009
Springer
14 years 5 months ago
A Web Recommender System for Recommending, Predicting and Personalizing Music Playlists
In this paper, we present a Web recommender system for recommending, predicting and personalizing music playlists based on a user model. We have developed a hybrid similarity match...
Zeina Chedrawy, Syed Sibte Raza Abidi