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EMNLP
2006
15 years 3 months ago
Relevance Feedback Models for Recommendation
We extended language modeling approaches in information retrieval (IR) to combine collaborative filtering (CF) and content-based filtering (CBF). Our approach is based on the anal...
Masao Utiyama, Mikio Yamamoto
CORR
2008
Springer
104views Education» more  CORR 2008»
15 years 1 months ago
A Recommender System based on Idiotypic Artificial Immune Networks
Abstract-The immune system is a complex biological system with a highly distributed, adaptive and selforganising nature. This paper presents an Artificial Immune System (AIS) that ...
Steve Cayzer, Uwe Aickelin
CORR
2010
Springer
118views Education» more  CORR 2010»
14 years 10 months ago
Estimating Probabilities in Recommendation Systems
Modeling ranked data is an essential component in a number of important applications including recommendation systems and websearch. In many cases, judges omit preference among un...
Mingxuan Sun, Guy Lebanon, Paul Kidwell
ECTEL
2006
Springer
15 years 5 months ago
Finding Communities of Practice from User Profiles Based on Folksonomies
User profiles can be used to identify persons inside a community with similar interests. Folksonomy systems allow users to individually tag the objects of a common set (e.g., web p...
Jörg Diederich, Tereza Iofciu
CIKM
2009
Springer
15 years 8 months ago
Hydra: a hybrid recommender system [cross-linked rating and content information]
This paper discusses the combination of collaborative and contentbased filtering in the context of web-based recommender systems. In particular, we link the well-known MovieLens ...
Stephan Spiegel, Jérôme Kunegis, Fang...