Access the full text.
Sign up today, get DeepDyve free for 14 days.
G. Salton, M. McGill (1983)
Introduction to Modern Information Retrieval
B. Jansen, A. Spink, T. Saracevic (1999)
The Use of Relevance Feedback on the Web: Implications for Web IR System Design
A. Leuski (2000)
Relevance and reinforcement in interactive browsing
Peter Anick (2003)
Using terminological feedback for web search refinement: a log-based studyProceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
M. Beaulieu (1997)
Experiments on interfaces to support query expansionJ. Documentation, 53
J. Bar-Ilan (2005)
Expectations versus reality – search engine features needed for Web research at mid 2005
A. Spink, R. Losee (1996)
Feedback in Information Retrieval., 31
C.J. van Rijsbergen
Information Retrieval
I. Witten, Alistair Moffat, T. Bell (1999)
Managing Gigabytes: Compressing and Indexing Documents and Images
(1983)
Introduction to Modern Information
N. Belkin, Colleen Cool, D. Kelly, Shin-jeng Lin, Soyeon Park, Jose Carballo, C. Sikora (2001)
Iterative exploration, design and evaluation of support for query reformulation in interactive information retrievalInf. Process. Manag., 37
Jürgen Koenemann, N. Belkin (1996)
A case for interaction: a study of interactive information retrieval behavior and effectivenessProceedings of the SIGCHI Conference on Human Factors in Computing Systems
(1999)
Modern Information Retrieval
M. Hancock-Beaulieu, M. Fieldhouse, T. Do (1995)
An Evaluation of Interactive Query Expansion in an Online Library Catalogue with a Graphical User InterfaceJ. Documentation, 51
M. Hancock-Beaulieu, Stephen Walker (1992)
An Evaluation of Automatic Query Expansion in an Online Library CatalogueJ. Documentation, 48
G. Salton (1971)
The SMART Retrieval System—Experiments in Automatic Document Processing
A. Moghaddam, M. Parirokh (2006)
A comparative study on overlapping of search results in metasearch engines and their common underlying search enginesLibrary Review, 55
W. Frakes, R. Baeza-Yates (1992)
Information Retrieval: Data Structures and Algorithms
(1971)
Retrieval System – Experiments in Automatic Document Processing, Prentice-Hall, Englewood Cliffs, NJ
Purpose – One of the relevance feedback techniques used in search engines is providing a link to similar documents for each retrieved document in a results page. The purpose of this paper is to assess whether the “similar pages” relevance feedback feature of Google is truly effective in retrieving documents relevant to the information needs of users. Design/methodology/approach – The effectiveness of the “similar pages” feature of Google was investigated using 30 paired searches conducted by 30 users with real information needs. The precision ratio of the results of the initial searches and of the searches conducted by clicking the “similar pages” links of the four most relevant results of each initial search were compared. The time spent and the overlapped results of the two kinds of searches were also compared. Findings – The mean values for precision of and time spent on the “similar pages” searches were significantly less than those for the initial searches. Although, the number of overlapping documents in the “similar pages” searches was higher than that for the initial searches, the difference was not statistically significant. Practical implications – The findings of this research would be useful for search engine designers as well as the numerous users of common search engines, especially Google, to decide if “similar pages” features truly enhance the quality of information retrieval on the web. Originality/value – The experimental evidence provided in this paper relates to system design of information retrieval systems on the web.
Online Information Review – Emerald Publishing
Published: Jun 20, 2008
Keywords: Search engines; Internet; Inter‐computer links
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.