Day #250 - Context and Preferences aware recommendations

Its is very important to have a feedback loop to provide better recommendations
Basic Recommendation

1. Buy Product A
2. Usual ML recommendation is bought together A,B,C. Sold together A,C

This is great everyone will do it. If I dislike the product A, How do we know
Feedback based Recommendation

1. Buy Product A
2. Read Custom Low Rating for A
3. Look for people who don't like A what they bought
4. Recommend those instead of A

Returns based Recommendation

1. Customer Buys Product A
2. Custom returns Product A
3. Look for people who don't like A what they bought
4. Recommend those instead of A

Season based Recommendation
Considering customer preferences for each season, brands picked up for each season, Consider them into recommendations

Brand based Recommendations
Customer affinity for a certain brand because of size, variety etc

Happy Building Your Data Story!!!