Information retrieval: data structures and algorithms
Information retrieval: data structures and algorithms
Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
From user access patterns to dynamic hypertext linking
Proceedings of the fifth international World Wide Web conference on Computer networks and ISDN systems
SpeedTracer: a Web usage mining and analysis tool
IBM Systems Journal
Adaptive Web sites: automatically synthesizing Web pages
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Using path profiles to predict HTTP requests
WWW7 Proceedings of the seventh international conference on World Wide Web 7
An algorithmic framework for performing collaborative filtering
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Discovering Web Access Patterns and Trends by Applying OLAP and Data Mining Technology on Web Logs
ADL '98 Proceedings of the Advances in Digital Libraries Conference
Creating Adaptive Web Sites Through Usage-Based Clustering of URLs
KDEX '99 Proceedings of the 1999 Workshop on Knowledge and Data Engineering Exchange
Knowledge discovery from users Web-page navigation
RIDE '97 Proceedings of the 7th International Workshop on Research Issues in Data Engineering (RIDE '97) High Performance Database Management for Large-Scale Applications
Web usage mining: discovery and applications of usage patterns from Web data
ACM SIGKDD Explorations Newsletter
Data mining for path traversal patterns in a web environment
ICDCS '96 Proceedings of the 16th International Conference on Distributed Computing Systems (ICDCS '96)
Web Mining: Information and Pattern Discovery on the World Wide Web
ICTAI '97 Proceedings of the 9th International Conference on Tools with Artificial Intelligence
Series of Dynamic Targeted Recommendations
EC-WEB '02 Proceedings of the Third International Conference on E-Commerce and Web Technologies
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
Combining the web content and usage mining to understand the visitor behavior in a web site
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Context-based Preference Analysis Method in Ubiquitous Commerce
UDM '05 Proceedings of the International Workshop on Ubiquitous Data Management
An Approach for Identification of User's Intentions During the Navigation in Semantic Websites
ESWC '07 Proceedings of the 4th European conference on The Semantic Web: Research and Applications
Filtering and Sophisticated Data Processing for Web Information Gathering
RSEISP '07 Proceedings of the international conference on Rough Sets and Intelligent Systems Paradigms
An Enhanced Similarity Measure for Utilizing Site Structure in Web Personalization Systems
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Mining temporally changing web usage graphs
WebKDD'04 Proceedings of the 6th international conference on Knowledge Discovery on the Web: advances in Web Mining and Web Usage Analysis
Mission-based navigational behaviour modeling for web recommender systems
WebKDD'04 Proceedings of the 6th international conference on Knowledge Discovery on the Web: advances in Web Mining and Web Usage Analysis
Context-based recommendation service in ubiquitous commerce
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part II
Improving semantic consistency of web sites by quantifying user intent
ICWE'05 Proceedings of the 5th international conference on Web Engineering
Intelligent techniques for web personalization
ITWP'03 Proceedings of the 2003 international conference on Intelligent Techniques for Web Personalization
Integrating web content clustering into web log association rule mining
AI'05 Proceedings of the 18th Canadian Society conference on Advances in Artificial Intelligence
Clustering of web sessions using levenshtein metric
ICDM'04 Proceedings of the 4th international conference on Advances in Data Mining: applications in Image Mining, Medicine and Biotechnology, Management and Environmental Control, and Telecommunications
Building web navigation agents using domain-specific ontologies
PRIMA'04 Proceedings of the 7th Pacific Rim international conference on Intelligent Agents and Multi-Agent Systems
Testing online navigation recommendations in a web site
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
NaviMoz: mining navigational patterns in portal catalogs
EDBT'06 Proceedings of the 2006 international conference on Current Trends in Database Technology
Introducing semantics in web personalization: the role of ontologies
EWMF'05/KDO'05 Proceedings of the 2005 joint international conference on Semantics, Web and Mining
A recommendation model for handling dynamics in user profile
ICDCIT'12 Proceedings of the 8th international conference on Distributed Computing and Internet Technology
A dissimilarity measure for automate moderation in online social networks
Proceedings of the 4th International Workshop on Web Intelligence & Communities
Study on collaborative filtering recommendation algorithm based on web user clustering
International Journal of Wireless and Mobile Computing
A new dissimilarity measure for online social networks moderation
Web Intelligence and Agent Systems - Web Intelligence and Communities
A fuzzy co-clustering approach for hybrid recommender systems
International Journal of Hybrid Intelligent Systems
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Recent proposals have suggested Web usage mining as an enabling mechanism to overcome the problems associated with more traditional Web personalization techniques such as collaborative or content-based filtering. These problems include lack of scalability, reliance on subjective user ratings or static profiles, and the inability to capture a richer set of semantic relationships among objects (in content-based systems). Yet, usage-based personalization can be problematic when little usage data is available pertaining to some objects or when the site content changes regularly. For more effective personalization, both usage and content attributes of a site must be integrated into a Web mining framework and used by the recommendation engine in a uniform manner. In this paper we present such a framework, distinguishing between the offine tasks of data preparation and mining, and the online process of customizing Web pages based on a user's active session. We describe effective techniques based on clustering to obtain a uniform representation for both site usage and site content profiles, and we show how these profiles can be used to perform real-time personalization.