https://github.com/hsm207/recsys2022-weaviate
Doing the recsys 2022 challenge with weaviate
https://github.com/hsm207/recsys2022-weaviate
neural-search recommender-system recsys2022
Last synced: 7 months ago
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Doing the recsys 2022 challenge with weaviate
- Host: GitHub
- URL: https://github.com/hsm207/recsys2022-weaviate
- Owner: hsm207
- Created: 2022-12-30T16:43:22.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2023-01-08T15:01:53.000Z (over 2 years ago)
- Last Synced: 2025-01-14T11:16:28.172Z (9 months ago)
- Topics: neural-search, recommender-system, recsys2022
- Language: Jupyter Notebook
- Homepage:
- Size: 8.79 KB
- Stars: 2
- Watchers: 2
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Introduction
An attempt to solve the [RecSys 2022 Challenge](http://www.recsyschallenge.com/2022/) using [weaviate](https://github.com/semi-technologies/weaviate).
Read this [blog post](https://medium.com/@_init_/an-idea-to-build-a-session-based-recommender-system-using-a-vector-database-recsys-challenge-2022-485fc2beb9a9) for details about the solution.
# Prerequisites
1. Docker
2. VS Code
# Usage
1. Clone this project
2. Download and unzip the dataset into the project's root folder (see the `References` section for the download link)
3. Use VS Code to open this project inside a [dev container](https://containers.dev/).
# References
* Download dataset https://dressipi.com/downloads/recsys-datasets/
* Challenge description: http://www.recsyschallenge.com/2022/