Our released dataset CandiCTR-Pub could be found at JD JingPan with password xngmgr.
In the data files, each row corresponds to a search session. Each column in the data represents userID, queryID, label list, target items and request item queue. Each item is consist of itemID, categoryID, brandID, vendorID and priceID.
All data have been desensitized.
Requirements
python 3.6.13
tensorflow 1.15.0
scikit-learn 0.24.2
Quick start
Create a new data folder and put the downloaded dataset into the folder. Then,
Implicit User Awareness Modeling via Candidate Items for CTR Prediction in Search Ads
This repo is the official implementation for the WWW 2022 paper: Implicit User Awareness Modeling via Candidate Items for CTR Prediction in Search Ads.
Data format
Our released dataset CandiCTR-Pub could be found at JD JingPan with password
xngmgr.In the data files, each row corresponds to a search session. Each column in the data represents userID, queryID, label list, target items and request item queue. Each item is consist of itemID, categoryID, brandID, vendorID and priceID. All data have been desensitized.
Requirements
Quick start
Create a new
datafolder and put the downloaded dataset into the folder. Then,