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» On bootstrapping recommender systems
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UIC
2007
Springer
16 years 16 days ago
Ontology-Based Semantic Recommendation for Context-Aware E-Learning
Nowadays, e-learning systems are widely used for education and training in universities and companies because of their electronic course content access and virtual classroom partic...
Zhiwen Yu, Yuichi Nakamura, Seiie Jang, Shoji Kaji...
DEXA
2008
Springer
181views Database» more  DEXA 2008»
15 years 8 months ago
Query Recommendation Using Large-Scale Web Access Logs and Web Page Archive
Query recommendation suggests related queries for search engine users when they are not satisfied with the results of an initial input query, thus assisting users in improving sear...
Lin Li, Shingo Otsuka, Masaru Kitsuregawa
AIR
2005
120views more  AIR 2005»
15 years 6 months ago
Rascal: A Recommender Agent for Agile Reuse
As software organisations mature, their repositories of reusable software components from previous projects will also grow considerably. Remaining conversant with all components in...
Frank McCarey, Mel Ó Cinnéide, Nicho...
CSCW
2002
ACM
15 years 6 months ago
On the recommending of citations for research papers
Collaborative filtering has proven to be valuable for recommending items in many different domains. In this paper, we explore the use of collaborative filtering to recommend resea...
Sean M. McNee, Istvan Albert, Dan Cosley, Prateep ...
WECWIS
2005
IEEE
157views ECommerce» more  WECWIS 2005»
15 years 12 months ago
A Recommender for Targeted Advertisement of Unsought Products in E-Commerce
Recommender systems are a powerful tool for promoting sales in electronic commerce. An effective shopping recommender system can help boost the retailer’s sales by reminding cus...
Koung-Lung Lin, Jane Yung-jen Hsu, Han-Shen Huang,...