FE-TCM: Filter-Enhanced Transformer Click Model for Web Search-Reference-Cited by-同舟云学术

FE-TCM: Filter-Enhanced Transformer Click Model for Web Search

Published:2023 Issue: Volume:11 Page:28680-28687
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Wang Yingfei¹^ORCID,Liu Jianping²^ORCID,Wang Jian³,Wang Xiaofeng¹^ORCID,Wang Meng¹^ORCID,Chu Xintao¹^ORCID

Affiliation:

1. College of Computer Science and Engineering, North Minzu University, Yinchuan, China

2. The Key Laboratory of Images and Graphics Intelligent Processing of State Ethnic Affairs Commission, North Minzu University, Yinchuan, China

3. Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing, China

Funder

Natural Science Foundation Project of Ningxia Province, China, titled “User-Oriented Multi-Criteria Relevance Ranking Algorithm and Its Application”

Key Research and Development Program for Talent Introduction of Ningxia Province China titled “Research on Key Technologies of Scientific Data Retrieval in the Context of Open Science”

Starting Project of Scientific Research in the North Minzu University titled “Research of Information Retrieval Model Based on the Decision Process”

North Minzu University Postgraduate Innovation Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10077385.pdf?arnumber=10077385

Reference33 articles.

1. Overfitting in neural nets: Backpropagation, conjugate gradient, and early stopping;caruana;Proc Adv Neural Inf Process Syst,2000

2. Users and Noise: The Magic Barrier of Recommender Systems

3. Filter-enhanced MLP is All You Need for Sequential Recommendation

4. Model selection and overfitting

5. An ensemble click model for web document ranking;bakhtiarvand;Int J Eng,2020