Finding My Needle in the Haystack: Effective Personalized Re-ranking of Search Results in Prospector

Florian König; Lex van Velsen; Alexandros Paramythis

doi:10.1007/978-3-642-03964-5_29

Finding My Needle in the Haystack: Effective Personalized Re-ranking of Search Results in Prospector

Florian König, Lex van Velsen, Alexandros Paramythis

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic

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	https://doi.org/10.1007/978-3-642-03964-5_29
Publication status	Published - 2009
Event	10th International Conference on Electronic Commerce and Web Technologies, EC-Web 2009 - Linz, Austria Duration: 1 Sep 2009 → 4 Sep 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	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

Access to Document

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Cite this

König, F., van Velsen, L., & Paramythis, A. (2009). Finding My Needle in the Haystack: Effective Personalized Re-ranking of Search Results in Prospector. In T. Di Noia, & F. Buccafurri (Eds.), E-Commerce and Web Technologies: 10th International Conference, EC-Web 2009, Linz, Austria, September 1-4, 2009: Proceedings (pp. 312-323). (Lecture Notes in Computer Science; Vol. 5692). Springer. https://doi.org/10.1007/978-3-642-03964-5_29

König, Florian ; van Velsen, Lex ; Paramythis, Alexandros. / Finding My Needle in the Haystack : Effective Personalized Re-ranking of Search Results in Prospector. E-Commerce and Web Technologies: 10th International Conference, EC-Web 2009, Linz, Austria, September 1-4, 2009: Proceedings. editor / Tommaso Di Noia ; Francesco Buccafurri. Berlin, Heidelberg : Springer, 2009. pp. 312-323 (Lecture Notes in Computer Science).

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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.",

keywords = "Personalized web search, Open Directory Project (ODP), Collaborative search, User evaluation, Scrutability, Adaptive search result re-ranking",

author = "Florian K{\"o}nig and {van Velsen}, Lex and Alexandros Paramythis",

year = "2009",

doi = "10.1007/978-3-642-03964-5_29",

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booktitle = "E-Commerce and Web Technologies",

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König, F, van Velsen, L & Paramythis, A 2009, Finding My Needle in the Haystack: Effective Personalized Re-ranking of Search Results in Prospector. in T Di Noia & F Buccafurri (eds), E-Commerce and Web Technologies: 10th International Conference, EC-Web 2009, Linz, Austria, September 1-4, 2009: Proceedings. Lecture Notes in Computer Science, vol. 5692, Springer, Berlin, Heidelberg, pp. 312-323, 10th International Conference on Electronic Commerce and Web Technologies, EC-Web 2009, Linz, Austria, 1/09/09. https://doi.org/10.1007/978-3-642-03964-5_29

Finding My Needle in the Haystack : Effective Personalized Re-ranking of Search Results in Prospector. / König, Florian; van Velsen, Lex; Paramythis, Alexandros.

E-Commerce and Web Technologies: 10th International Conference, EC-Web 2009, Linz, Austria, September 1-4, 2009: Proceedings. ed. / Tommaso Di Noia; Francesco Buccafurri. Berlin, Heidelberg : Springer, 2009. p. 312-323 (Lecture Notes in Computer Science; Vol. 5692).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic

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AB - 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.

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König F, van Velsen L, Paramythis A. Finding My Needle in the Haystack: Effective Personalized Re-ranking of Search Results in Prospector. In Di Noia T, Buccafurri F, editors, E-Commerce and Web Technologies: 10th International Conference, EC-Web 2009, Linz, Austria, September 1-4, 2009: Proceedings. Berlin, Heidelberg: Springer. 2009. p. 312-323. (Lecture Notes in Computer Science). https://doi.org/10.1007/978-3-642-03964-5_29