Restaurant-Recommendation-App- | Term project in Python for CSE6242 , my part

Restaurant-Recommendation-App- is a Python library typically used in Telecommunications, Media, Advertising, Marketing applications. Restaurant-Recommendation-App- has no bugs, it has no vulnerabilities and it has low support. However Restaurant-Recommendation-App- build file is not available. You can download it from GitHub.

demo video is a representative workflow of a match and recommendation process. template and static file include javascript files for webpage design. json files are provided by Yelp challenge dataset. a) app.py is the main function of web application. b) app_config.py is for secrete key configuration. c) app_util.py is for cookie check function. d) call_by_app.py is a container of functions that called by app.py, database query or reaction to UI activities are handled in this script. e) import_business_file.py, import_review_file.py and import_user_file.py are need to run only once after first create the database. They import data from Yelp dataset. f) matrix_write.py and rest_setup.py are for recommendation matrix initialization need to run only once after import. g) append_predict_matrix.py is called by call_by_app.py each time their comes a new user; get_recommendation.py is called by call_by_app.py to generate recommendation list for accepted matches; is_match.py return whether two post info matches. user avatar files are fetched by using Gravatar.com random avatars and they are moved to our S3 bucket. We have made these images public.