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Google action intents are developed using the dialogflow and in the default webhook, they are not allowing to consume an external host API. Here we are made to use either firebase or other server for full webhook functionality of G Actions.
Using cosine similarity, the model suggests movies based on the content. It's a kind of content-based movie recommendation. Data was collected from an external service provider using the scripts written in the Data Collector folder. Data are fed to the Flask server, express server which was deployed in glitch will consume the flask server 3 API's and send responses to the G action requests.
- Collect all movie data from 2000 to 2020
- Convert to Js model using Tensorflow
- Improve the recommender core system to colloborative system
- Glitch deployed URL
- Glitch and G Action console can be accessed from [email protected]
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