ACM Home Page
Please provide us with feedback. Feedback
Measuring search engine quality in image queries in 10 non-English languages: an exploratory study
Full text PdfPdf (145 KB)
Source
Conference on Information and Knowledge Management archive
Proceeding of the 2nd ACM workshop on Improving non english web searching table of contents
Napa Valley, California, USA
SESSION: Short papers table of contents
Pages 89-92  
Year of Publication: 2008
ISBN:978-1-60558-416-4
Authors
Fotis Lazarinis  Technological Educational Institute, Mesolonghi, Greece
Efthimis N. Efthimiadis  University of Washington, Seattle, WA, USA
Sponsors
ACM: Association for Computing Machinery
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
SIGIR: ACM Special Interest Group on Information Retrieval
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 5,   Downloads (12 Months): 46,   Citation Count: 1
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1460027.1460043
What is a DOI?

ABSTRACT

The main aim of this short paper is to measure the relevance of the retrieved images in a number of queries in different non-English languages. The reasoning behind retrieval failures is investigated and suggestions for improving these problems are discussed.


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
Choroś, K. 2005. Testing the Effectiveness of Retrieval to Queries Using Polish Words with Diacritics. Advances in Web Intelligence Conference, LNCS 3528, DOI= 10.1007/b137066
 
2
 
3
4
 
5
Koutsogiannis, D. and Mitsikopoulou B. 2003. Greeklish and Greekness: Trends and Discourses of "Glocalness". Computer-Mediated Communication, 9(1).
6
 
7
Lazarinis, F. 2007. How do Greek searchers form their Web queries? 3rd International Conference on Web Information Systems and Technologies, (WEBIST), Spain, 404--407.
 
8
Lazarinis, F. 2008. Improving concept-based web image retrieval by mixing semantically similar Greek queries. Program: electronic library and information systems, 42(1), pp. 56--67, DOI=10.1108/00330330810851


Collaborative Colleagues:
Fotis Lazarinis: colleagues
Efthimis N. Efthimiadis: colleagues