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Jejaknesia-Machine-Learning-Models

Recommendation System

We are going to make recommendation system or recommender system to give user recommendation for traveling based on their preference.

Datasets

  • Dummy Dataset We formed our dataset, it consist of thirteen categories, such as place_id, place_name, city, address, desc_place, Lon, Lat, price, category_1, category_2, category_3, combine_category, url

Models

The model is using Tensorflow Recommender System (TFRS). We use retrieval model.

Results

- `Loss = 1.48`
- `factorized_top_k/top_50_categorical_accuracy': 0.23`
- `factorized_top_k/top_100_categorical_accuracy': 1.0`

Dependecies

  • Tensorflow Recommender System (TFRS)
  • Keras
  • Tensorflow
  • Numpy
  • Pandas

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