Information seeking in electronic environments
Information seeking in electronic environments
Life, death, and lawfulness on the electronic frontier
Proceedings of the ACM SIGCHI Conference on Human factors in computing systems
Automatic resource compilation by analyzing hyperlink structure and associated text
WWW7 Proceedings of the seventh international conference on World Wide Web 7
The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Finding related pages in the World Wide Web
WWW '99 Proceedings of the eighth international conference on World Wide Web
Authoritative sources in a hyperlinked environment
Proceedings of the ninth annual ACM-SIAM symposium on Discrete algorithms
Searching the Web: the public and their queries
Journal of the American Society for Information Science and Technology
A longitudinal study of World Wide Web users' information-searching behavior
Journal of the American Society for Information Science and Technology
Evaluating strategies for similarity search on the web
Proceedings of the 11th international conference on World Wide Web
SimRank: a measure of structural-context similarity
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Node similarity in networked information spaces
CASCON '01 Proceedings of the 2001 conference of the Centre for Advanced Studies on Collaborative research
ACM SIGIR Forum
Exploring Similarity among Web Pages Using the Hyperlink Structure
ITCC '04 Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'04) Volume 2 - Volume 2
Understanding user goals in web search
Proceedings of the 13th international conference on World Wide Web
Information search and re-access strategies of experienced web users
WWW '05 Proceedings of the 14th international conference on World Wide Web
SimFusion: measuring similarity using unified relationship matrix
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Reconciling information-seeking behavior with search user interfaces for the Web
Journal of the American Society for Information Science and Technology
PageSim: a novel link-based measure of web page aimilarity
Proceedings of the 15th international conference on World Wide Web
Node similarity in the citation graph
Knowledge and Information Systems
Determining the user intent of web search engine queries
Proceedings of the 16th international conference on World Wide Web
Journal of Management Information Systems
An examination of user behaviour during web information tasks
An examination of user behaviour during web information tasks
Factors affecting web page similarity
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
Hi-index | 0.00 |
We argue that relationships between Web pages are functions of the user's intent. We identify a class of Web tasks - information-gathering - that can be facilitated by providing links to pages related to the page the user is currently viewing. We define three kinds of intentional relationships that correspond to whether the user is a) seeking sources of information, b) reading pages which provide information, or c) surfing through pages as part of an extended information-gathering process. We show that these three relationships can be mined using a combination of textual and link information and provide three scoring mechanisms that correspond to them: SeekRel, FactRel and SurfRel. These scoring mechanisms incorporate both textual and link information. We build a set of capacitated subnetworks, each corresponding to a particular keyword. Scores are computed by computing flows on these subnetworks. The capacities of the links are derived from the hub and authority values of the nodes they connect, following the work of Kleinberg (1998) on assigning authority to pages in hyperlinked environments. We evaluated our scoring mechanism by running experiments on four data sets taken from the Web. We present user evaluations of the relevance of the top results returned by our scoring mechanisms and compare those to the top results returned by Google's Similar Pages feature, and the Companion algorithm (Dean and Henzinger, 1999).