Performance Evaluation of Search Engines Using Enhanced Vector Space Model
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Summary
The work intends to analyze and implement the proposed enhanced approach for computation of cosine or similarity value by enhancing the vector space model in performance evaluation of three search engines Google, Yahoo and MSN.
- Type
- article
- Published
- 2015-07-24
- Cited by
- 9
- References
- 22
- Access
- Open access
- OpenAlex
- https://openalex.org/W960953481
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:11977409
Keywords
Cosine similarity, Computer science, Vector space model, Similarity (geometry), Trigonometric functions
References
- Fast Automatic Passage Ranking (MultiText Experiments for TREC-8)
- A Comparative Study on Approaches of Vector Space Model in Information Retrieval
- Precision Evaluation of Search Engines
- A new method for automatic performance comparison of search engines
- Information Retrieval: Searching in the 21st Century
- Okapi/Keenbow at TREC-8
- Automatic Text Processing: The Transformation, Analysis, and Retrieval of Information by Computer
- Study on New Term Weighting Method and New Vector Space Model Based on Word Space in Spoken Document Retrieval
- Term-Weighting Approaches in Automatic Text Retrieval
- Understanding inverse document frequency: on theoretical arguments for IDF
- First 20 precision among World Wide Web search services (search engines)
- The Importance of Proper Weighting Methods
- Document Ranking and the Vector-Space Model
- A new statistical method for performance evaluation of search engines
- Analysis of Vector Space Model in Information Retrieval
- Why Inverse Document Frequency?
- Statistical generalization of performance-related heuristics for knowledge-lean applications
- The Vector Space Model in Information Retrieval-Term Weighting Problem
- STATISTICAL GENERALIZATION OF PERFORMANCE-RELATED HEURISTICS FOR KNOWLEDGE-LEAN APPLICATIONS
- An Effective Term-Weighting Scheme for Information Retrieval
Cited by
- Evaluating Retrieval Effectiveness by Sustainable Rank List
- Sistem Temu Kembali Informasi Pada Gejala Autisme Dengan Metode Vector Space Model
- Proposing a New Combined Indicator for Measuring Search Engine Performance and Evaluating Google, Yahoo, DuckDuckGo, and Bing Search Engines based on Combined Indicator
- Use of Artificial Intelligence in Voice Recognition
- The Role of Artificial Intelligence in Information Acquisition
- An Industry Application of Secure Augmentation and Gen-AI for Transforming Engineering Design and Manufacturing
- Variants of Term Frequency and Inverse Document Frequency of Vector Space Model for Effective Document Ranking In Information Retrieval
- An End-to-End AI-Powered Symptom Checker Using Machine Learning, NLP, and Geolocation for Real-Time Doctor Recommendation
- U-BDF: A Unified Bidirectional Diffusion Framework for High-Fidelity Scalable Virtual Try-On
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