We are building an online platform that provides proper recommendations for apartment seekers with the options to take multiple factors into account. Most of the current search services are single-faceted, so we provide a user-oriented platform with an integrated information system for customers that can interactively obtain and filter information based on multiple choices.
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- decompress the zip document
- Open up the console
- enter
cd + document link - enter
python3 -m http.server 8888in the console - Open
http://localhost:8888/FrontEnd/in your browser
Using Yelp Fusion API: The Yelp Fusion API uses private key authentication to authenticate all endpoints. Private API Key will be automatically generated after creating the app. Include API key in headers to send request. Request: GET https://api.yelp.com/v3/businesses/search Parameters we query: location(string), latitude(decimal), longitude(decimal), name(string), city = "New York City", term = "restaurant/food" Other info: url, transactions: pickup / delivery, categories etc. More information can be found in url: https://www.yelp.com/developers/documentation/v3/business_search
(1) Propose a map-based interface that integrates living space information and geographical data. Hence present an intuitive and comprehensive InfoMap for living space recommendation. (2) Design an effective filtering feature that allows users to shortlist the living space recommendations based on factors they care the most. (3) Introduce a new criteria for recommendation ratings that incorporates ratings scheme from different data sources, such as crime, restaurants, transportation etc. In addition, extracting keywords and sentiment to furthermore evaluate the apartments.