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» A Time-Based Recommender System Using Implicit Feedback
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ECWEB
2009
Springer
204views ECommerce» more  ECWEB 2009»
14 years 2 months ago
Computational Complexity Reduction for Factorization-Based Collaborative Filtering Algorithms
Abstract. Alternating least squares (ALS) is a powerful matrix factorization (MF) algorithm for both implicit and explicit feedback based recommender systems. We show that by using...
István Pilászy, Domonkos Tikk
RECSYS
2009
ACM
14 years 2 months ago
TagiCoFi: tag informed collaborative filtering
Besides the rating information, an increasing number of modern recommender systems also allow the users to add personalized tags to the items. Such tagging information may provide...
Yi Zhen, Wu-Jun Li, Dit-Yan Yeung
DMIN
2007
183views Data Mining» more  DMIN 2007»
13 years 9 months ago
Crawling Attacks Against Web-based Recommender Systems
—User profiles derived from Web navigation data are used in important e-commerce applications such as Web personalization, recommender systems, and Web analytics. In the open en...
Runa Bhaumik, Robin D. Burke, Bamshad Mobasher
CATA
2006
13 years 9 months ago
Shoechicken: An Intelligent System for Recommending RSS/Atom Content
We present Shoechicken, an intelligent agentbased system for rating RSS and Atom news content based on user preferences. The system builds a user profile implicitly by observing a...
James Horsley, Michael Wooten, Eman El-Sheikh
SIGIR
2010
ACM
13 years 11 months ago
Interactive retrieval based on faceted feedback
Motivated by the commonly used faceted search interface in e-commerce, this paper investigates interactive relevance feedback mechanism based on faceted document metadata. In this...
Lanbo Zhang, Yi Zhang