Information Retrieval and Recommender Systems PDF
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University of Milano-Bicocca
Georgios Peikos
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Summary
This document is a laboratory report on Information Retrieval and Recommender Systems. It covers topics related to experiment design, methodology, results, and overall structure. This document appears to originate from the University of Milan-Bicocca.
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INFORMATION RETRIEVAL AND RECOMMENDER SYSTEMS Laboratory – Experimentation Reporting Georgios Peikos [email protected] Building U14, DISCo University of Milan-Bicocca Viale Sarca 336, 20126 Milan Designing an experiment Experimen...
INFORMATION RETRIEVAL AND RECOMMENDER SYSTEMS Laboratory – Experimentation Reporting Georgios Peikos [email protected] Building U14, DISCo University of Milan-Bicocca Viale Sarca 336, 20126 Milan Designing an experiment Experiment 1. An experiment is a scientific procedure undertaken to make a discovery, test a hypothesis, or demonstrate a known fact. ◦ Clearly define the research question or hypothesis that you want to address through your experiment. ◦ Develop a robust experimental design that answers these hypothesis ◦ Collect the data ◦ Compare your findings with previous Reporting Research Overall Structure 1. Introduction 2. Related Work 3. Methodology 4. Experimental Setup 5. Experimental Results 6. Discussion 7. Conclusion Introduction 1. Background and Context 2. Problem Statement 3. Objectives of the Study 4. Significance of the Research 5. Scope and Limitations 6. Research Questions or Hypotheses 7. Overview of the Paper Related Work 1. Literature Review 2. Historical Perspective 3. Comparison with Previous Studies 4. Identification of Research Gap/s 5. Critical Analysis of Existing Solutions Methodology 1. Research Design 2. System Architecture or Model Design 3. Algorithms and Techniques Used 4. Assumptions and Constraints 5. Ethical Considerations 6. Validation of Methods Experimental Setup 1. Hardware Specifications 2. Software and Tools Used 3. Data Collection Procedures 4. Parameters and Variables 5. Preprocessing Steps 6. Benchmarking Criteria (can be the specific collections used to evaluate) Experimental Results 1. Presentation of Raw Data 2. Data Analysis Techniques 3. Visualization of Results 4. Comparison with Baseline or Existing Methods 5. Statistical Analysis Discussion 1. Interpretation of Results 2. Comparison with Previous Studies 3. Implications of Findings 4. Limitations of the Study 5. Alternative Explanations Conclusion 1. Summary of Key Findings 2. Theoretical Contributions 3. Suggestions for Future Research 4. Overall Research Impact Suggestion if interested: 1. https://www.youtube.com/watch?v=aFwVf5a3pZM&list=RDCMUCil2G- oUNzJ7Bzfv11kDjNQ&start_radio=1&t=2s&ab_channel=UChicagoSocialSciences