Query-sets: using implicit feedback and query patterns to organize web documents

In this paper we present a new document representation model based on implicit user feedback obtained from search engine queries. The main objective of this model is to achieve better results in non-supervised tasks, such as clustering and labeling, through the incorporation of usage data obtained from search engine queries. This type of model allows us to discover the motivations of users when visiting a certain document. The terms used in queries can provide a better choice of features, from the user's point of view, for summarizing the Web pages that were clicked from these queries. In this work we extend and formalize as query model an existing but not very well known idea of query view for document representation. Furthermore, we create a novel model based on frequent query patterns called the query-set model. Our evaluation shows that both query-based models outperform the vector-space model when used for clustering and labeling documents in a website. In our experiments, t...

• Type: Conference
• Year: 2008
• Where: WWW
• Authors: Barbara Poblete, Ricardo A. Baeza-Yates
• Keywords: Document Representation Model, Internet Technology, Query Model, Search Engine Queries, WWW 2008