Content-based-Recommender-System
It is a content based recommender system from the sample dataset for determing the most similar items.
Steps to utilise this repo
Step 1: Take a clone of this repo:
git clone https://github.com/mish1102/RecommendationEngine-ContentBased.git
Step 2: Open terminal and run the below command:
python3 recommender_system.py
Then you will be asked two questions:
Enter the itemID ranging between 1 to 500: "response1"
Enter the number of recommendations needed to be displayed: "response2"
Mention Item ID in response1 and Number of recommended items you want to get displayed as response2
Your repsonse will look like:\
Recommending 5 products similar to (--ItemName--) below::
Alpine guide pants (score:0.8253856759948797)
Guide jkt (score:0.20769755384994887)
Guide jkt (score:0.18827991801713145)
Rock guide pants (score:0.16574026828699218)
Lw guide pants (score:0.16373827536275246)
More upgrade on this basic version will be continued to enhance the content based to more complex dataset.
Thank you for reading! Cheers!!