A Method of Personalized Web Search Result Clustering Based on Formal Concept Analysis
Jing Wang1, Yajun Du
1School of Mathematics and Computer Engineering, Xihua University
Available Online October 2007.
- 10.2991/iske.2007.283How to use a DOI?
- Web search result clustering; personalized document clustering; Formal Concept Analysis (FCA); search engine
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.
- © 2007, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Jing Wang AU - Yajun Du PY - 2007/10 DA - 2007/10 TI - A Method of Personalized Web Search Result Clustering Based on Formal Concept Analysis BT - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007) PB - Atlantis Press SP - 1651 EP - 1656 SN - 1951-6851 UR - https://doi.org/10.2991/iske.2007.283 DO - 10.2991/iske.2007.283 ID - Wang2007/10 ER -