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EMNLP
2006
15 years 7 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 6 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»
15 years 2 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 9 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
16 years 22 days 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...