Intelligent information-sharing systems
Communications of the ACM
Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
Orienteering in an information landscape: how information seekers get from here to there
INTERCHI '93 Proceedings of the INTERCHI '93 conference on Human factors in computing systems
Improving text retrieval for the routing problem using latent semantic indexing
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
A comparison of classifiers and document representations for the routing problem
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Pivoted document length normalization
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
GroupLens: applying collaborative filtering to Usenet news
Communications of the ACM
Matrix computations (3rd ed.)
Learning routing queries in a query zone
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
Probabilistic latent semantic indexing
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
A similarity-based probability model for latent semantic indexing
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Jester 2.0 (poster abstract): evaluation of an new linear time collaborative filtering algorithm
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
On Updating Problems in Latent Semantic Indexing
SIAM Journal on Scientific Computing
Learning Collaborative Information Filters
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
The SMART Retrieval System—Experiments in Automatic Document Processing
The SMART Retrieval System—Experiments in Automatic Document Processing
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Introduction to the Special Issue: Overview of the TREC Routing and Filtering Tasks
Information Retrieval
User preference through Bayesian categorization for recommendation
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
A review of evolutionary and immune-inspired information filtering
Natural Computing: an international journal
A hybrid recommendation method with double SVD reduction
DASFAA'10 Proceedings of the 15th international conference on Database systems for advanced applications
Constructing full matrix through Naïve Bayesian for collaborative filtering
ICIC'06 Proceedings of the 2006 international conference on Intelligent computing: Part II
User preference through learning user profile for ubiquitous recommendation systems
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Hybrid music filtering for recommendation based ubiquitous computing environment
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
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Historically, solutions to the TREC filtering tasks have focused exclusively on the content of documents and search topic descriptions as training data. These approaches are well-known for their ability to focus on those salient concepts in the document stream which are most useful for separating relevant documents from irrelevant ones. However, one kind of information that has not been used is the relationships among the topics themselves. In our TREC-8 routing experiments, we employed a collaborative (or social) filtering algorithm, based on latent semantic indexing which highlights common term usage patterns among groups of filtering profiles. Our hypothesis was that this would allow related topics to share common relevant documents. We found, however, that the algorithm also recommends many documents of related, yet irrelevant interest. As a result of this process, many similar search topics are “linked” together by common sets of documents recommended to them. We visualize these topic relationships using graphs where topics are nodes and edges exist where two topics share a recommended document.