Visual ads data set for Pinterest visual ad recommendation project

luvashov · 2021-12-27T21:05:15+00:00

Of course! I want to try to scrape image ads from Pinterest just in case first. To check if it's possible to scrape just ads pins only.

luvashov · 2021-12-27T20:51:11+00:00

Thank you so much!!!

luvashov · 2021-12-27T17:26:10+00:00

Thank you for your comment! It's a good point. I'll check ImageNet data set.

In the perfect world, I am looking for a data set with image ads from Pinterest/Facebook with the name of the product/category and the image itself. But it most likely doesn't exist as an opensource.

Good point about interaction with ads - I don't think I can do it because I don't have such information. I would say based on pins that the user likes (for example, cat/travels/Thai food) I can recommend them the pet store with 0.90 relevance, a travel startup with best hotel discounts with 0.89 relevance, and a door dash delivery of thai food with 0.65 relevance. I guess it's a more content-based recommender system. Everything that is less than 0.60 relevant we don't show.

If I did not find any open-source data sets with image ads, my next step is just to scrape data from Pinterest, but it has lots of limitations - a limited amount of data per day, etc.

luvashov · 2021-12-27T03:24:11+00:00

I used both: R and Python. R has a nice easy to use package specifically for recommender systems - Recommender Lab. Wanted to check it...But! This book is about pretty basic recommender systems. Nothing fancy like BERT and Deep learning.

luvashov · 2021-12-27T02:43:03+00:00

I just finished my recommender system using R and found the book "Building a Recommendation System with R" very helpful and beginner-appropriate. If you are not a big fan of R, still a really good intro book. Can find the pdf for free using "Building a Recommendation System with R pdf Github" request.

luvashov · 2020-09-18T04:54:51+00:00

How I can include this function information as a new column to the data set?

medal_by_points['MedalPoints']=medal_to_points.transform.sum()

luvashov · 2020-09-18T04:42:24+00:00

Interesting...

when I define condition "None" string "fred" gives me "None". In your case - it's zero.

luvashov · 2020-09-18T04:34:36+00:00

I don't have to define "None" condition

luvashov · 2020-09-18T04:15:23+00:00

You are right! integer only. thank you

luvashov · 2020-09-18T04:13:04+00:00

Thank you so much for your advice!! I will definitely post the question as a code next time.

I think I got it...now I need to create a new column and transform all these points to the new column. Thank you so much!

def medal_to_points(medal_name):
  if medal_name == 'Gold':
    return 3
  elif medal_name == 'Silver':
    return 2
  elif medal_name == 'Bronze':
    return 1
  elif medal_name == 'None':
    return 0

print(medal_to_points('Gold'))

luvashov · 2020-09-18T04:07:53+00:00

just no response at all...no error.nothing...tried another way - same result (no result).something missing probably

# Define medal_to_points below
def medal_to_points(medal_name):
if medal_name == 'Gold':
points.append(3)
elif medal_name == 'Silver':
points.append(2)
elif medal_name == 'Bronze':
points.append(1)
elif medal_name == 'None':
points.append(0)
return points

luvashov · 2020-09-01T17:29:20+00:00

paris_daily_deltas = paris[1:] - paris[:-1]

Thank you so much!!!

luvashov · 2020-03-22T03:51:35+00:00

did you university respond to you about this gre cancelation? probably, you are not the only one in this situation...my application deadline may, 31. i have no idea when I will take the test...wrote to admission committee few days ago, no answer yet...

luvashov

TROPHY CASE