Title
GiveALink: mining a semantic network of bookmarks for web search and recommendation
Abstract
GiveALink is a public site where users donate their bookmarks to the Web community. Bookmarks are analyzed to build a new generation of Web mining techniques and new ways to search, recommend, surf, personalize and visualize the Web. We present a semantic similarity measure for URLs that takes advantage both of the hierarchical structure of the bookmark files of individual users, and of collaborative filtering across users. We analyze the social bookmark network induced by the similarity measure. A search and recommendation system is built from a number of ranking algorithms based on prestige, generality, and novelty measures extracted from the similarity data.
Year
DOI
Venue
2005
10.1145/1134271.1134281
LinkKDD
Field
DocType
ISBN
Semantic similarity,World Wide Web,Web mining,Information retrieval,Semantic search,Semantic Web Stack,Computer science,Web standards,Data Web,Semantic Web,Social Semantic Web
Conference
1-59593-215-1
Citations 
PageRank 
References 
17
1.14
14
Authors
5
Name
Order
Citations
PageRank
Lubomira Stoilova1402.88
Todd Holloway2201.53
Benjamin Markines350222.08
Ana Gabriela Maguitman477759.13
Filippo Menczer53874268.67