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Food Bars Recommender System
Description
As a fun little experiment, we've sampled numerous food bars and collected data on our team's preferences on a number of different attributes (taste, texture smell, etc.) Using this data, we've built a recommender system that provides predicted ratings for the bars that each person hasn't yet rated. To begin, choose an attribute and an endpoint and click the buttons corresponding to the action you wish to take.
Configuration
Attribute
Texture
Natural
Taste
Appearance
Branding
AfterTaste
Smell
Overall
Ready
Use the below sliders and select boxes to perform the addData() call:
User
Lawrence
Eric
Nadine
Pete
Hieu
Bar
Larabar - Ginger Bread
Health Warrior
Power Crunch
Muscle Milk
Nutrition-Zone Perfect
Kind
Cliff Bar
Combat Birthday Cake
SMART- CookieDough
SMART -Blueberry
Bounce
Sahale Snacks - Orange
Sahale Snacks - Banana Pecan
Good Greens
Vans- PBJ
Larabar - Key Lime Pie
OhYeah - One
GoMacro - Protein Purity
GoMacro - Protein Pleasure
GoMacro - Balanced Goodness
Health Warrior-Coconut
Sunny Days- Strawberry
Kashi-Almond Snickerdoodle
Whenever Bars - Oat Blueberry Lemon
Rating
Add Data
Remove Data
Use the below sliders and select boxes to perform the predictInterests() call:
Recommender Method
IBCF
ALS
POPULAR
User
Lawrence
Eric
Nadine
Pete
Hieu
Predict Interests
Data
Recommendations
Recommendation Data
Raw Data
Predicted Ratings
Plot
Table