Abstract
This paper provides an overview of Prospector, a personalized Internet meta-search engine, which utilizes a combination of ontological information, ratings-based models of user interests, and complementary theme-oriented group models to recommend (through re-ranking) search results obtained from an underlying search engine. Re-ranking brings “closer to the top” those items that are of particular interest to a user or have high relevance to a given theme. A user-based, real-world evaluation has shown that the system is effective in promoting results of interest, but lags behind Google in user acceptance, possibly due to the absence of features popularized by said search engine. Overall, users would consider employing a personalized search engine to perform searches with terms that require disambiguation and/or contextualization.
Original language | English |
---|---|
Title of host publication | E-Commerce and Web Technologies |
Subtitle of host publication | 10th International Conference, EC-Web 2009, Linz, Austria, September 1-4, 2009: Proceedings |
Editors | Tommaso Di Noia, Francesco Buccafurri |
Place of Publication | Berlin, Heidelberg |
Publisher | Springer |
Pages | 312-323 |
ISBN (Electronic) | 978-3-642-03964-5 |
ISBN (Print) | 978-3-642-03963-8 |
DOIs | |
Publication status | Published - 2009 |
Event | 10th International Conference on Electronic Commerce and Web Technologies, EC-Web 2009 - Linz, Austria Duration: 1 Sept 2009 → 4 Sept 2009 Conference number: 10 |
Publication series
Name | Lecture Notes in Computer Science |
---|---|
Publisher | Springer |
Volume | 5692 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 10th International Conference on Electronic Commerce and Web Technologies, EC-Web 2009 |
---|---|
Abbreviated title | EC-Web |
Country/Territory | Austria |
City | Linz |
Period | 1/09/09 → 4/09/09 |
Keywords
- Personalized web search
- Open Directory Project (ODP)
- Collaborative search
- User evaluation
- Scrutability
- Adaptive search result re-ranking