The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
The structure of broad topics on the web
Proceedings of the 11th international conference on World Wide Web
Evaluating strategies for similarity search on the web
Proceedings of the 11th international conference on World Wide Web
Information Retrieval
Exploiting hierarchical domain structure to compute similarity
ACM Transactions on Information Systems (TOIS)
An Information-Theoretic Definition of Similarity
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Topical web crawlers: Evaluating adaptive algorithms
ACM Transactions on Internet Technology (TOIT)
Algorithmic detection of semantic similarity
WWW '05 Proceedings of the 14th international conference on World Wide Web
Lexical and semantic clustering by web links
Journal of the American Society for Information Science and Technology - Special issue: Webometrics
Algorithmic detection of semantic similarity
WWW '05 Proceedings of the 14th international conference on World Wide Web
GiveALink: mining a semantic network of bookmarks for web search and recommendation
Proceedings of the 3rd international workshop on Link discovery
Web page classification: Features and algorithms
ACM Computing Surveys (CSUR)
Agents, bookmarks and clicks: a topical model of web navigation
Proceedings of the 21st ACM conference on Hypertext and hypermedia
A solution to the exact match on rare item searches: introducing the lost sheep algorithm
Proceedings of the International Conference on Web Intelligence, Mining and Semantics
Towards automatic assessment of government web sites
Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics
| Hi-index | 0.00 |
Search engines use content and links to search, rank, cluster, and classify Web pages.These information discovery applications use similarity measures derived from this data to estimate relatedness between pages. However, little research exists on the relationships between similarity measures or between such measures and semantic similarity. The author analyzes and visualizes similarity relationships in massive Web data sets to identify how to integrate content and link analysis for approximating relevance. He uses human-generated metadata from Web directories to estimate semantic similarity and semantic maps to visualize relationships between content and link cues and what these cues suggest about page meaning. Highly heterogeneous topical maps point to a critical dependence on search context.