Algorithms for clustering data
Algorithms for clustering data
Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic text processing: the transformation, analysis, and retrieval of information by computer
Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
Constant interaction-time scatter/gather browsing of very large document collections
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Mining quantitative association rules in large relational tables
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
BIRCH: an efficient data clustering method for very large databases
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Reexamining the cluster hypothesis: scatter/gather on retrieval results
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Communications of the ACM
Fab: content-based, collaborative recommendation
Communications of the ACM
Beyond market baskets: generalizing association rules to correlations
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
A cost model for nearest neighbor search in high-dimensional data space
PODS '97 Proceedings of the sixteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
A new framework for itemset generation
PODS '98 Proceedings of the seventeenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Efficiently mining long patterns from databases
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Optimal multi-step k-nearest neighbor search
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Fast algorithms for projected clustering
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
A new method for similarity indexing of market basket data
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Data Mining: An Overview from a Database Perspective
IEEE Transactions on Knowledge and Data Engineering
Using a Hash-Based Method with Transaction Trimming for Mining Association Rules
IEEE Transactions on Knowledge and Data Engineering
Machine Learning
SLIQ: A Fast Scalable Classifier for Data Mining
EDBT '96 Proceedings of the 5th International Conference on Extending Database Technology: Advances in Database Technology
Online Generation of Association Rules
ICDE '98 Proceedings of the Fourteenth International Conference on Data Engineering
Efficient and Effective Clustering Methods for Spatial Data Mining
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Mining Generalized Association Rules
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
SPRINT: A Scalable Parallel Classifier for Data Mining
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
SSD '95 Proceedings of the 4th International Symposium on Advances in Spatial Databases
A Framework for the Optimizing of WWW Advertising
TREC '98 Proceedings of the International IFIP/GI Working Conference on Trends in Distributed Systems for Electronic Commerce
Web user clustering from access log using belief function
Proceedings of the 1st international conference on Knowledge capture
Discovery and Evaluation of Aggregate Usage Profiles for Web Personalization
Data Mining and Knowledge Discovery
Web Personalization Techniques for E-commerce
AMT '01 Proceedings of the 6th International Computer Science Conference on Active Media Technology
International Journal of Human-Computer Studies
Avaliação comparativa de algoritmos de personalização para direcionamento de conteúdo
CLIHC '05 Proceedings of the 2005 Latin American conference on Human-computer interaction
Developing recommender systems with the consideration of product profitability for sellers
Information Sciences: an International Journal
Using ontology network analysis for research document recommendation
Expert Systems with Applications: An International Journal
Web usage mining with intentional browsing data
Expert Systems with Applications: An International Journal
Data mining from 1994 to 2004: an application-orientated review
International Journal of Business Intelligence and Data Mining
Application of neural networks and Kano's method to content recommendation in web personalization
Expert Systems with Applications: An International Journal
Integrating web mining and neural network for personalized e-commerce automatic service
Expert Systems with Applications: An International Journal
On-line personalized sales promotion in electronic commerce
Expert Systems with Applications: An International Journal
A personalized recommendation system based on product taxonomy for one-to-one marketing online
Expert Systems with Applications: An International Journal
Data mining for web personalization
The adaptive web
Personalized recommendation of popular blog articles for mobile applications
Information Sciences: an International Journal
ITWP'03 Proceedings of the 2003 international conference on Intelligent Techniques for Web Personalization
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Data mining has become increasingly popular and is widely used in various application areas. In this paper, we examine new developments in data mining and its application to personalization in E-commerce. Personalization is what merchants and publishers want to do to tailor the Web site or advertisement and product promotion to a customer based on his past behavior and inference from other like-minded people. E-commerce offers the opportunity to deploy this type of one-to-one marketing instead of the traditional mass marketing. The technology challenges to support personalization will be discussed. These include the need to perform clustering and searching in very high dimensional data space with huge amount of data. We'll examine some of the new data mining technologies developed that can support personalization.