https://github.com/miltiadiss/ceid_ne5597-information-retrieval

This project involves creating an inverted index for a text collection, implementing a Vector Space Model (VSM) with custom weighting methods, applying the pre-trained colBERT model for semantic query handling, and comparing the performance of the developed models using two evaluation metrics implemented from scratch.
https://github.com/miltiadiss/ceid_ne5597-information-retrieval

colbert indexer inverted-index metrics vector-space-model

Last synced: about 2 months ago
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This project involves creating an inverted index for a text collection, implementing a Vector Space Model (VSM) with custom weighting methods, applying the pre-trained colBERT model for semantic query handling, and comparing the performance of the developed models using two evaluation metrics implemented from scratch.

• Host: GitHub
• URL: https://github.com/miltiadiss/ceid_ne5597-information-retrieval
• Owner: miltiadiss
• License: mit
• Created: 2024-01-16T00:20:01.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-09-17T20:20:36.000Z (8 months ago)
• Last Synced: 2025-03-30T04:12:25.690Z (about 2 months ago)
• Topics: colbert, indexer, inverted-index, metrics, vector-space-model
• Language: Jupyter Notebook
• Homepage:
• Size: 2.7 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

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# Overview

![Στιγμιότυπο οθόνης 2024-09-08 195244](https://github.com/user-attachments/assets/6e91e7ab-cf11-408f-a2ce-3f8ca52ab7a1)

This project is part of **Information Retrieval** elective course in Computer Engineering & Informatics Department of University of Patras for Winter Semester 2023-2024 (Semester 7).