Table of contents - Special Issue: Evaluating web search engines
Guest Editors: Dirk Lewandowski
A method to assess search engine results
Judit Bar‐Ilan, Mark LeveneThe aim of this paper is to develop a methodology for assessing search results retrieved from different sources.
Comparative evaluation of web search engines in health information retrieval
Carla Teixeira Lopes, Cristina RibeiroThe intent of this work is to evaluate several generalist and health‐specific search engines for retrieval of health information by consumers: to compare the retrieval…
Topic‐sensitive search engine evaluation
Na Dai, Brian D. DavisonThis work aims to investigate the sensitivity of ranking performance with respect to the topic distribution of queries selected for ranking evaluation.
Discovering geographic web services in search engines
Francisco J. Lopez‐Pellicer, Aneta J. Florczyk, Rubén Béjar, Pedro R. Muro‐Medrano, F. Javier Zarazaga‐SoriaThere is an open discussion in the geographic information community about the use of digital libraries or search engines for the discovery of resources. Some researchers suggest…
Comparing Google to a digital reference service for answering factual and topical requests by keyword and question queries
Pertti VakkariThis paper seeks to evaluate to what extent Google retrieved correct answers to queries inferred from factual and topical requests in a digital Ask‐a‐Librarian service.
Using a Delphi method and the analytic hierarchy process to evaluate Chinese search engines: A case study on Chinese search engines
Qinghua Zhu, Jia Tina Du, Fei Meng, Kewen Wu, Xiaoling SunThe purpose of this study is to develop an evaluation criteria system for search engines using the Delphi method and the analytic hierarchy process, and to conduct an empirical…
Automatic performance evaluation of web search engines using judgments of metasearch engines
Hamid SadeghiThe purpose of this paper is to introduce two new automatic methods for evaluating the performance of search engines. The reported study uses the methods to experimentally…
The pros and cons of Microsoft Academic Search from a bibliometric perspective
Péter JacsóThis paper aims to look at the pros and cons of Microsoft Academic Search (MAS) from a bibliometric perspective.
ISSN:
1468-4527e-ISSN:
1468-4535ISSN-L:
1468-4527Renamed from:
Online and CD-Rom ReviewOnline date, start – end:
2000Copyright Holder:
Emerald Publishing LimitedOpen Access:
hybridEditor:
- Professor Eugenia Siapera