Click-Through Rate Prediction Model Based on Neural Architecture Search

Click-Through Rate Prediction Model Based on Neural Architecture Search

Click-through rate(CTR) prediction is an important task in the recommendation system.Its goal is to predict the pro-bability of a user clicking on an advertisement or item.Feature embedding and feature interacting are critical for prediction performance.Therefore,the ideas of many click-through rate...

Full description

Bibliographic Details
Main Author: SHUAI Jian-bo, WANG Jin-ce, HUANG Fei-hu, PENG Jian
Format: Article
Language:zho
Published: Editorial office of Computer Science 2022-07-01
Series:Jisuanji kexue
Subjects:
neural architecture search|click-through rate prediction|feature embedding|feature interacting|recommendation system
Online Access:https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2022-49-7-10.pdf

Internet

https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2022-49-7-10.pdf

Similar Items