Metadata-Version: 1.1
Name: RecTulips
Version: 0.0.2
Summary: Recommandation System
Home-page: UNKNOWN
Author: Remadnia Ouahiba
Author-email: remadniahiba3@gmail.com
License: MIT
Description: Hello World !!
        A Demo of Recomendation system Using SVD
        
        How to work with ?
        Super easy !! 
        First import our Library . 
        import Tulips
        
        #Then start set your ratings like this
        
        #Rate(user_id,item_id,rating,time)
        Rate(1,3,5.0,'21-04-2022')
        
        
        #Then the magic word to recommend 10 items to your client 
        
        #TOP10(user_id)
        TOP10(1)
        
        Demo : 
        
        import RecTulips as RS
        
        RS.Rate(1,2,5,â€™10-04-2022 19:50:52â€™)
        RS.Rate(1,5,4,â€™30-03-2022 10:34:10â€™)
        RS.Rate(3,4,1,â€™11-03-2022 19:50:52â€™)
        RS.Rate(5,3,2,â€™12-04-2022 17:05:02â€™)
        RS.Rate(5,5,5,â€™22-04-2022 18:53:40â€™)
        RS.Rate(4,1,4,â€™25-04-2022 20:51:00â€™)
        RS.Rate(7,9,4,â€™20-04-2022 20:20:13â€™)
        RS.Rate(7,8,3,â€™25-03-2022 10:50:17â€™)
        RS.Rate(2,7,5,â€™15-04-2022 22:25:01â€™)
        RS.Rate(6,6,2,â€™21-04-2022 20:00:00â€™)
        RS.Rate(8,10,3,â€™20-04-2022 20:12:00â€™)
        
        Result = RS.TOP10(2) # Will return the id of the 10 item recommended to user (2) 
        print(Result) # [1, 9, 5, 10, 8, 4, 2, 6, 3] 
        
        
        
        Change Log
        ==========
        
        0.0.2 (24/05/2022)
        -------------------
        - Second Release
        - We fix it to work with Firebase Database
Keywords: Recomndation
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Education
Classifier: Operating System :: Microsoft :: Windows :: Windows 10
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
