Computational models of information scent-following in a very large browsable text collection
Proceedings of the ACM SIGCHI Conference on Human factors in computing systems
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
Web usage mining for Web site evaluation
Communications of the ACM
Automatic personalization based on Web usage mining
Communications of the ACM
Mining Access Patterns Efficiently from Web Logs
PADKK '00 Proceedings of the 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Current Issues and New Applications
Discovery of Interesting Usage Patterns from Web Data
WEBKDD '99 Revised Papers from the International Workshop on Web Usage Analysis and User Profiling
Analysis of navigation behaviour in web sites integrating multiple information systems
The VLDB Journal — The International Journal on Very Large Data Bases
Log Mining to Improve the Performance of Site Search
WISEW '02 Proceedings of the Third International Conference on Web Information Systems Engineering (Workshops) - (WISEw'02)
Web usage mining: discovery and applications of usage patterns from Web data
ACM SIGKDD Explorations Newsletter
Query type classification for web document retrieval
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Query chains: learning to rank from implicit feedback
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Adaptive web sites: an AI challenge
IJCAI'97 Proceedings of the 15th international joint conference on Artifical intelligence - Volume 1
Query recommendation using query logs in search engines
EDBT'04 Proceedings of the 2004 international conference on Current Trends in Database Technology
Improving Web site understanding with keyword-based clustering
Journal of Software Maintenance and Evolution: Research and Practice
Query-sets: using implicit feedback and query patterns to organize web documents
Proceedings of the 17th international conference on World Wide Web
Relating content through web usage
Proceedings of the 20th ACM conference on Hypertext and hypermedia
Visual web mining for website evaluation
Journal of Web Engineering
Algorithmic challenges in web search engines
LATIN'06 Proceedings of the 7th Latin American conference on Theoretical Informatics
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We present a model for mining user queries found within the access logs of a website and for relating this information to the website's overall usage, structure and content. The aim of this model is to discover, in a simple way, valuable information to improve the quality of the website, allowing the website to become more intuitive and adequate for the needs of its users. This model presents a methodology of analysis and classification of the different types of queries registered in the usage logs of a website, such as queries submitted by users to the site's internal search engine and queries on global search engines that lead to documents in the website. These queries provide useful information about topics that interest users visiting the website and the navigation patterns associated to these queries indicate whether or not the documents in the site satisfied the user's needs at that moment.