A Method of Personalized Web Search Result Clustering Based on Formal Concept Analysis
Jing Wang, Yajun Du · 2007
Most existing Web search result clustering techniques, generally anchoring in pure content-based analysis, generate a single set of clusters for all individuals without tailoring to individuals' preferences and thus are unable to support personalization.In this paper, we incorporate a target user's categorization preferences into the Web search result clustering process using Formal Concept Analysis (FCA).Personalized conceptual clusters hierarchy of Web search result will be built combining content analysis and user information analysis.We focus on the target user's categorization preference extracting and cluster hierarchy building based on FCA.