ACM Home Page
Please provide us with feedback. Feedback
Building an open source meta-search engine
Full text PdfPdf (176 KB)
Source International World Wide Web Conference archive
Special interest tracks and posters of the 14th international conference on World Wide Web table of contents
Chiba, Japan
POSTER SESSION: Posters table of contents
Pages: 1004 - 1005  
Year of Publication: 2005
ISBN:1-59593-051-5
Authors
A. Gulli  University of Pisa
A. Signorini  University of Iowa
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 14,   Downloads (12 Months): 112,   Citation Count: 3
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1062745.1062840
What is a DOI?

ABSTRACT

In this short paper we introduce Helios, a flexible and efficient open source meta-search engine. Helios currently runs on the top of 18 search engines (in Web, Books, News, and Academic publication domains), but additional search engines can be easily plugged in. We also report some performance mesured during its development.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Chidlovskii. System and method for improving answer relevance in meta-search engines. U.S. Pat. 6829599, 2004.
2
3
4
 
5
6
7
 
8
F. Gibb S. Wu, F. Crestani. New methods of results merging for distributed information retrieval. In Distributed Multimedia Information Retrieval, 2003.
 
9