https://github.com/smsraj2001/recommender-system
Implementation of a Recommender system by using Steam Dataset corpus.
https://github.com/smsraj2001/recommender-system
collaborative-filtering content-based-recommendation evaluation-metrics exploratory-data-analysis hybrid-recommender-system neighborhood-based recommendation-system
Last synced: 3 months ago
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Implementation of a Recommender system by using Steam Dataset corpus.
- Host: GitHub
- URL: https://github.com/smsraj2001/recommender-system
- Owner: smsraj2001
- Created: 2023-05-25T05:29:46.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2023-05-25T07:30:16.000Z (almost 2 years ago)
- Last Synced: 2025-01-01T21:24:18.450Z (5 months ago)
- Topics: collaborative-filtering, content-based-recommendation, evaluation-metrics, exploratory-data-analysis, hybrid-recommender-system, neighborhood-based, recommendation-system
- Language: Jupyter Notebook
- Homepage:
- Size: 2.71 MB
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# RECOMMENDER-SYSTEM
Implementation of a Recommender system by using Steam Dataset corpus.
[Click Here](https://drive.google.com/drive/folders/1jfANjNLxBa4U3v4OUw3SwErS_uoDJmy7?usp=share_link) for the dataset.
# TASKS PERFORMED
1. Performing the ```EDA``` (Exploratory Data Analysis) on the data.
2. Preprocess the data
3. Using negihborhood based or Model based ```collaborative filtering``` for recommendation
4. ```Content``` based recommendation
5. Analyze the results.
6. Using suitable ```evaluation metrics```
For further details and methodologies , please refer to the [REPORT](https://github.com/smsraj2001/RECOMMENDER-SYSTEM/blob/main/REPORT.pdf) attached.
```NOTE:``` Please feel free to suggest any corrections or feedbacks.