Our system provides a universal model for the recommendation of products across various categories. Recommendations are generated using the clustering of similar products. As attributes vary between different categories of products, clustering may start requiring manual intervention. Since, our system will store and make searchable semi-structured product data, it will not require any fixed data type. It will also allow the user to select attributes on which to cluster and give preference to the same. Then, the system will generate recommendations on textual data, while filters will be applied for numerical data.
Run npm install -g @angular/cli gh-pages
Then npm install by cding into cloned directory
Run ng serve for a dev server. Navigate to http://localhost:4200/. The app will automatically reload if you change any of the source files.