COMPARATIVE EVALUATION OF RETRIEVAL EFFICIENCY IN YAHOO, BING, AND BAIDU: A STUDY ON RELEVANCE AND SEARCH PERFORMANCE

Authors

  • Mashood Yousuf Khan Dept. of Library and Information Science, University of Kashmir-19006)
  • Zahid Yousuf Khan Research Scholar at Department of Political Science, University of Kashmir, 190006)
  • Dr. Irfan ul Haq Akhoon Dept. of Library and Information Science, University of Kashmir, Srinagar-190006)

DOI:

https://doi.org/10.29121/shodhkosh.v3.i1.2022.4222

Keywords:

Search Engine Evaluation, Retrieval Efficiency, Relevance, Single Word Query, Two Word Query, Yahoo, Bing, Baidu

Abstract [English]

Purpose: This paper aims to evaluate and compare the performance and efficiency of three popular search engines—Yahoo, Bing, and Baidu—in retrieving relevant internet resources. The study focuses on the accuracy and effectiveness of search engines using single and double-word queries with basic search techniques at specific intervals.
Design:
The study begins with an analysis of existing methodologies for evaluating search engines, aiming to identify key factors for selecting the most efficient search engine for internet research. Retrieval efficiency is assessed based on several parameters, such as search engine coverage and the occurrence of dead, missing, and duplicate links. A total of 20 single and double word queries are employed to test the engines’ performance. MS Excel is used for data analysis and evaluation.
Findings:
The results indicate that different search engines use distinct technologies to retrieve web information. Overall, Yahoo outperforms Bing and Baidu in retrieval score; however, Bing shows superior efficiency by retrieving fewer dead and duplicate links, particularly in response to two-term queries.
Originality/Value:
This paper offers valuable insights into the comparative effectiveness of Yahoo, Bing, and Baidu in retrieving relevant web resources. The findings can guide users, researchers, and search engine developers in optimizing their search strategies and enhancing search engine technologies.

References

Akhoon, I. U., & Khan, M. Y. (2019). Comparative evaluation of retrieval efficiency in Yahoo, Bing, and Baidu: A study on relevance and search performance. University of Kashmir.

Behnert, C., & Lewandowski, D. (2015). Ranking search results in library information systems—Considering ranking approaches adapted from web search engines. Journal of Academic Librarianship, 41(6), 725-735. DOI: https://doi.org/10.1016/j.acalib.2015.07.010

Brin, S., & Page, L. (1998). The anatomy of a large-scale hypertextual web search engine. Computer Networks and ISDN Systems, 30(1-7), 107-117. https://doi.org/10.1016/S0169-7552(98)00110-X DOI: https://doi.org/10.1016/S0169-7552(98)00110-X

Cambazoglu, B. B., & Baeza-Yates, R. (2016). Scalability challenges in web search engines. Journal of the American Society for Information Science and Technology, 62(4), 714-726. https://doi.org/10.1102/asi.21496 DOI: https://doi.org/10.1007/978-3-031-02298-2

Fattahi, R., Parirokh, M., Dayyani, M. H., Khosravi, A., & Zareivenovel, M. (2016). Effectiveness of Google keyword suggestion on users' relevance judgment: A mixed-method approach to query expansion. Electronic Library, 34(2), 302-314. DOI: https://doi.org/10.1108/EL-03-2015-0035

Kato, M. P., Sakai, T., & Tanaka, K. (2013). When do people use query suggestion? A query suggestion log analysis. Information Retrieval, 16(6), 725-746. DOI: https://doi.org/10.1007/s10791-012-9216-x

Lewandowski, D. (2008). At the sharp end: Problems with the use of web search engines to find results in foreign languages. Online Information Review, 32(5), 668-672. https://doi.org/10.1108/14684520810914034 DOI: https://doi.org/10.1108/14684520810914034

Lewandowski, D. (2015). Evaluating the retrieval effectiveness of web search engines using a representative query sample. Journal of the Association for Information Science and Technology, 66(9), 1763-1775. DOI: https://doi.org/10.1002/asi.23304

Oppenheim, C., Morris, A., McKnight, C., & Lowly, J. (2000). The evaluation of WWW search engines. Journal of Documentation, 56(2), 190-211. DOI: https://doi.org/10.1108/00220410010803810

Ozcal, R., Altingovde, I. S., & Ulusoy, O. (2011). Exploiting navigational queries for result presentation and caching in web search engines. Journal of the American Society for Information Science and Technology, 62(4). https://doi.org/10.1102/asi.21496 DOI: https://doi.org/10.1002/asi.21496

Palanisamy, R. (2013). Evaluation of search engines: A conceptual model and research issues. International Journal of Business and Management, 8(6). DOI: https://doi.org/10.5539/ijbm.v8n6p1

Sánchez, D., Martínez-Sanahuja, L., & Batet, M. (2018). Survey and evaluation of web search engine hit counts as research tools in computational linguistics. Information Systems, 37, 50-60. DOI: https://doi.org/10.1016/j.is.2017.12.007

Wani, Z. A., & Ahmad, S. A. (2016). Retrieval efficiency of select search engines vis-à-vis diverse open courseware formats. The Electronic Library, 34(3). DOI: https://doi.org/10.1108/EL-08-2014-0132

Downloads

Published

2022-06-30

How to Cite

Khan, M. Y., Khan, Z. Y., & Akhoon, I. ul H. (2022). COMPARATIVE EVALUATION OF RETRIEVAL EFFICIENCY IN YAHOO, BING, AND BAIDU: A STUDY ON RELEVANCE AND SEARCH PERFORMANCE. ShodhKosh: Journal of Visual and Performing Arts, 3(1), 832–844. https://doi.org/10.29121/shodhkosh.v3.i1.2022.4222