Paper Info
Title
Finding My Needle in the Haystack: Effective Personalized Re-ranking of Search Results in Prospector
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.
Year
DOI
Venue
2009
10.1007/978-3-642-03964-5_29
EC-Web
Keywords
Field
DocType
underlying search engine,personalized internet meta-search engine,search results,high relevance,user interest,complementary theme-oriented group model,particular interest,search engine,user acceptance,personalized search engine,search result,meta search engine,information rate
Web search engine,Data mining,Organic search,Personalized search,Computer science,World Wide Web,Metasearch engine,Semantic search,Information retrieval,Search engine optimization,Search analytics,Database,Spamdexing
Conference
Volume
ISSN
Citations 
5692
0302-9743
0
PageRank 
References 
Authors
0.34
23
3
Name
Order
Citations
PageRank
Florian König191.64
Lex van Velsen213915.58
Alexandros Paramythis317812.71