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Displaying 1-7 out of 7 total
A Clickstream-Based Collaborative Filtering Recommendation Model for E-Commerce
Found in: E-Commerce Technology, IEEE International Conference on
By Dong-Ho Kim, Il Im, Vijayalakshmi Atluri
Issue Date:July 2005
pp. 84-91
In recent years, clickstream-based collaborative filtering (CCF) recommendation models have received much attention mainly due to their scalability. The common CCF recommendation models are Markov modesl, sequential association rules, association rules, an...
Digital Library Service Integration
Found in: Digital Libraries, Joint Conference on
By Xin Chen, Dong-ho Kim, Nkechi Nnadi, Himanshu Shah, Prateek Shrivastava, Michael Bieber, Il Im, Yi-Fang Wu
Issue Date:May 2003
pp. 384
No summary available.
Relationship Analysis: A Research Plan for Enhancing Systems Analysis For Web Development
Found in: Hawaii International Conference on System Sciences
By Joseph Catanio, Joonhee Yoo, Ravi Paul, Ashish Ghoda, Michael Bieber, Atanu Pal, Il Im, Fahri Yetim
Issue Date:January 2003
pp. 186a
This research addresses a major shortcoming in today?s analysis techniques. Neither structured nor object-oriented analysis techniques provide a formal process to identify relationships in a system being modeled. Existing techniques leave the relationship ...
A Framework for Classifying Personalization Scheme Used on e-Commerce Websites
Found in: Hawaii International Conference on System Sciences
By Dezhi Wu, Il Im, Marilyn Tremaine, Keith Instone, Murray Turoff
Issue Date:January 2003
pp. 222b
Personalization is a new system development approach for designing information systems that change configurations based on each user?s needs and preferences. Although personalization capabilities are present throughout a large number of commercial software...
Personalizing the settings for Cf-based recommender systems
Found in: Proceedings of the fourth ACM conference on Recommender systems (RecSys '10)
By Byung Ho Kim, Il Im
Issue Date:September 2010
pp. 245-248
In this paper, we propose a new method for collaborative filtering (CF)-based recommender systems. Traditional CF-based recommendation algorithms have applied constant settings such as a reference group (neighborhood) size and a significance level to all u...
GRE: hybrid recommendations for NSDL collections
Found in: Proceedings of the 2009 joint international conference on Digital libraries (JCDL '09)
By Anand Srinivasan, Il Im, Michael Bieber, Todd C. Will, Vincent Oria, Yi-Fang (Brook) Wu
Issue Date:June 2009
pp. 1-1
Recommendation systems have been proven to reduce the time and effort required by users to find relevant items, but there are only sporadic reports on their application in digital libraries. The General Recommendation Engine (GRE) is composed of the text s...
Does a one-size recommendation system fit all? the effectiveness of collaborative filtering based recommendation systems across different domains and search modes
Found in: ACM Transactions on Information Systems (TOIS)
By Alexander Hars, Il Im
Issue Date:November 2007
pp. 4-es
Collaborative filtering (CF) is a personalization technology that generates recommendations for users based on others' evaluations. CF is used by numerous e-commerce Web sites for providing personalized recommendations. Although much research has focused o...