2 papers
cs.IR2021
XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction
Runlong Yu, Yuyang Ye, Qi Liu +4
Click-Through Rate (CTR) prediction is a core task in nowadays commercial recommender systems. Feature crossing, as the mainline of research on CTR prediction, has shown a promisin…
cs.SI2016
Who are Like-minded: Mining User Interest Similarity in Online Social Networks
Chunfeng Yang, Yipeng Zhou, Dah Ming Chiu
In this paper, we mine and learn to predict how similar a pair of users' interests towards videos are, based on demographic (age, gender and location) and social (friendship, inter…