InstaCart: Product Recommender

InstaCart has recently open sourced anonymized data on customer orders for its Kaggle competition. You can find out more info from the link below.

https://www.kaggle.com/c/instacart-market-basket-analysis

Previously, I did some data exploration to discover some interesting insights. See my previous blog post.

Next I would like to use their anonymized data to build a product recommender system. There are many approaches/strategies in product recommendations, eg. Most popular items, Also bought/viewed, Featured items, and etc. I am going to explore the most popular items approach and collaborative filtering (also bought) approach.

We can identify the top 5 popular items for each department and utilize them for most popular items recommendation. For example, the top 5 items for frozen department are Blueberries, Organic Broccoli Florets, Organic Whole Strawberries, Pipeapple Chunks, Frozen Organic Wild Blueberries.

Screen Shot 2017-07-10 at 10.51.55 PM

Next, I utilized Spark ALS algorithm to  build a collaborative filtering based recommender system.

Some stats about the data

Total user-product pair (rating): 1,384,617

Total users: 131,209

Total products: 39,123

Given the data, I splitted the data into train set (0.8) vs test set (0.2) randomly. This resulted in
Number of train elements: 1,107,353
Number of test elements: 277,264

Here are the parameters I used in ALS, rank = 10, lambda = 1, number of iterations = 10, 50, 60, 80

  • Number of iterations = 10,    RMSE = 0.9999895
  • Number of iterations = 50,    RMSE = 0.9999828
  • Number of iterations = 60,    RMSE = 0.9999875
  • Number of iterations = 80,    RMSE = 0.9999933

We can also try out different ranks in grid search.

Here are some recommendations suggested by ALS collaborative filtering algorithm (number of iterations =80, rank=10)

Given user 124383 Transaction History

+——-+———-+—–+———-+—————————+——–+————-+
|user_id|product_id|count|product_id|product_name |aisle_id|department_id|
+——-+———-+—–+———-+—————————+——–+————-+
|124383 |49478 |1 |49478 |Frozen Organic Strawberries|24 |4 |
|124383 |21903 |1 |21903 |Organic Baby Spinach |123 |4 |
|124383 |19508 |1 |19508 |Corn Tortillas |128 |3 |
|124383 |20114 |1 |20114 |Jalapeno Peppers |83 |4 |
|124383 |44142 |1 |44142 |Red Onion |83 |4 |
|124383 |20345 |1 |20345 |Thin Crust Pepperoni Pizza |79 |1 |
|124383 |27966 |1 |27966 |Organic Raspberries |123 |4 |
+——-+———-+—–+———-+—————————+——–+——————+

Here are the recommendations
+———-+————————————————————-+——–+————-+
|product_id|product_name |aisle_id|department_id|
+———-+————————————————————-+——–+——————+
|28717 |Sport Deluxe Adjustable Black Ankle Stabilizer |133 |11 |
|15372 |Meditating Cedarwood Mineral Bath |25 |11 |
|18962 |Arroz Calasparra Paella Rice |63 |9 |
|2528 |Cluckin’ Good Stew |40 |8 |
|21156 |Dreamy Cold Brew Concentrate |90 |7 |
|12841 |King Crab Legs |39 |12 |
|24862 |Old Indian Wild Cherry Bark Syrup |47 |11 |
|37535 |Voluminous Extra-Volume Collagen Mascara – Blackest Black 680|132 |11 |
|30847 |Wild Oregano Oil |47 |11 |
+———-+————————————————————-+——–+————-+

 

 

 

 

 

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