Evaluating the summarization algorithms of Ask.com, Bing, Google and Yahoo: search snippets-result conformance.
Purpose: Objective: The objective of the research was to evaluate the performance of the summarization algorithms utilized by Ask.com, Bing, Google and Yahoo. Design/methodology/approach: This study evaluated the summarization algorithms employed by search engines. In this regard, a set of 30 search...
| Publicado en: | Performance Measurement & Metrics Vol. 26; no. 4; pp. 233 - 253 |
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| Autores principales: | , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Emerald Publishing Limited
2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=188908250&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 188908250 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14678047 NG6 jtl: Performance Measurement & Metrics issn: 14678047 maglogo: N pubinfo: dt: 2025 vid: 26 iid: 4 pid: 465 pub: Emerald Publishing Limited artinfo: ui: 188908250 188908250 188908250 10.1108/PMM-02-2024-0012 188908250 ppf: 233 ppct: 20 formats: tig: atl: Evaluating the summarization algorithms of Ask.com, Bing, Google and Yahoo: search snippets-result conformance. aug: au: Zeynali-Tazehkandi, Mahdi Nowkarizi, Mohsen Zhian-Feizabadi, Yeganeh affil: Ferdowsi University of Mashhad, Mashhad, Iran sug: subj: Information Storage Information Retrieval Algorithms Evaluation Internet Searching Methods Web Search Engines Human Iran Evaluation Research Stratified Random Sample Questionnaires Summated Rating Scaling Nonparametric Statistics Friedman Test Data Analysis Software Ontologies World Wide Web Abstracts ab: Purpose: Objective: The objective of the research was to evaluate the performance of the summarization algorithms utilized by Ask.com, Bing, Google and Yahoo. Design/methodology/approach: This study evaluated the summarization algorithms employed by search engines. In this regard, a set of 30 search terms was carefully constructed using schema ontology. These terms were subsequently employed to interrogate the selected search engines. A random selection of three results from each set of ten retrieved results was then extracted for thorough evaluation. The evaluation process involved quantifying the degree of relevance deviation between the search snippets and the corresponding full-text results. This analysis served to effectively measure the effectiveness of the search engines' summarization algorithms. Findings: The research findings indicated a substantial discrepancy between the relevance of search snippets and the corresponding full-text search results. Furthermore, the findings underscored notable differences among the summarization algorithms utilized by Ask.com, Bing, Google and Yahoo. Additionally, the study found that the abstracting quality of Ask.com, Bing, Google and Yahoo was 43.4, 57.2, 51.8 and 47.8%, respectively. Practical implications: Users are recommended to employ Bing and Google for conducting search queries. The developers of Ask.com and Yahoo are urged to refine their summarization algorithms. Originality/value: This study constitutes the first-ever attempt to assess the summarization capabilities of Ask.com, Bing, Google and Yahoo. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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