Source code and datasets for paper: Selling Products by Machine: a User-Sensitive Adversarial Training method for Short Title Generation in Mobile E-Commerce.

Python>=3.5 Tensorflow>=1.8.0 scikit-learn numpy

There are five files in data/ directory.

• click0.csv: Desensitized user-clicked training subdataset.
• click1.csv: Desensitized user-unclicked training subdataset.
• test.csv: Desensitized testing set.
• vocab_gan.txt: Word list by word frequency statistics.

File format of "click0.csv", "click1.csv" and "test.csv":id, item_id, if_click, long_title, short_title, short_title_position_index, user_feature.

• train: run train.py
• test: run tester.py

Paper： Selling Products by Machine: a User-Sensitive Adversarial Training method for Short Title Generation in Mobile E-Commerce