This the repository for the 2023-2024 project for the fall semester elective course 'Information Retrieval'. Firstly an inverted index is implemented in Python. Next, i implement the Vector Space Model on a collection of documents and run similarity queries on it. The model's performance is evaluated using Precision and Recall metrics. Finally the Vector Space Model is compared with Standford's implementation of colBERT. The repository includes the project report and the source code.
-
Notifications
You must be signed in to change notification settings - Fork 0
Vergosss/Information_Retrieval_2023-2024_Project
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
This is the Information Retrieval 2023-2024 fall semester CEID course project.
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published