The Retrieval Effectiveness of Web Search Engines: Considering Results Descriptions
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Abstract (arXiv)
Purpose: To compare five major Web search engines (Google, Yahoo, MSN, Ask.com, and Seekport) for their retrieval effectiveness, taking into account not only the results but also the results descriptions. Design/Methodology/Approach: The study uses real-life queries. Results are made anonymous and are randomised. Results are judged by the persons posing the original queries. Findings: The two major search engines, Google and Yahoo, perform best, and there are no significant differences between them. Google delivers significantly more relevant result descriptions than any other search engine. This could be one reason for users perceiving this engine as superior. Research Limitations: The study is based on a user model where the user takes into account a certain amount of results rather systematically. This may not be the case in real life. Practical Implications: Implies that search engines should focus on relevant descriptions. Searchers are advised to use other search engines in addition to Google. Originality/Value: This is the first major study comparing results and descriptions systematically and proposes new retrieval measures to take into account results descriptions
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 18 Nov 2015.
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Citing papers per year: 2024: 2; 2025: 1; 2026: 1.
4 papers.
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- 2026RUBEN: Rule-Based Explanations for Retrieval-Augmented LLM Systems11 May 2026
- 2025Rule-Based Explanations for Retrieval-Augmented LLM Systems26 Oct 2025
- 2024Enhancing Interactive Image Retrieval With Query Rewriting Using Large Language Models and Vision Language Models29 Apr 2024
- 2024Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations12 Jan 2024