Name
Abstract | ||
|---|---|---|
GiveALink.org is a social bookmarking site where users may donate and view their personal bookmark files online securely. The bookmarks are analyzed to build a new generation of intelligent information retrieval techniques to recommend, search, and personalize the Web. GiveALink does not use tags, content, or links in the submitted Web pages. Instead we present a semantic similarity measure for URLs that takes advantage both of the hierarchical structure in the bookmark files of individual users, and of collaborative filtering across users. In addition, we build a recommendation and search engine from ranking algorithms based on popularity and novelty measures extracted from the similarity-induced network. Search results can be personalized using the bookmarks submitted by a user. We evaluate a subset of the proposed ranking measures by conducting a study with human subjects. |
Year | Venue | Keywords |
|---|---|---|
2006 | national conference on artificial intelligence | proposed ranking measure,collaborative recommendation,hierarchical structure,human subject,Bookmark hierarchy,bookmark file,individual user,ranking algorithm,personal bookmark file,search engine,Web page,search result |
Field | DocType | Citations |
Semantic similarity,Learning to rank,World Wide Web,Search engine,Collaborative filtering,Ranking,Web page,Information retrieval,Computer science,Novelty,Bookmarking | Conference | 15 |
PageRank | References | Authors |
0.83 | 12 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ben Markines | 1 | 15 | 0.83 |
| Lubomira Stoilova | 2 | 40 | 2.88 |
| Filippo Menczer | 3 | 3874 | 268.67 |