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!!