This repository contains the model that will be used to perform text recommendation. The model is trained on the TMDB 5000 Movie Dataset on the Overview Feature of the dataset. The input for the model is the movie title and the model returns recommendations by comparing the overviews of the given title with the overviews of other titles in the dataset.
Model Details: Objective: Text Recommendation tasks Dataset: TMDB 5000 Movie Dataset Input: Title of the movie for which the recommendations are needed Output: Top-K Recommendations for the input based on the overviews
Usage: This model can be used for movie recommendation task.
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