Impression space model for the evaluation of Internet advertising effectiveness-Reference-Cited by-同舟云学术

Impression space model for the evaluation of Internet advertising effectiveness

Published:2020-03-10 Issue:11 Volume:32 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Song Yongqiang^ORCID,Wang Hong,Zhang Changyong,Wang Lutong

Funder

ducational science planning project of Shandong Province

Excellent course project of Shandong Province

Science and technology program of Shandong collegesand universities

The National Natural Science Fund

theTechnology Program of Shandong Province under Grant

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.5678

Reference36 articles.

1. CraswellN ZoeterO TaylorM et al. An experimental comparison of click position‐bias models. Paper presented at: Proceedings of the 2008 International Conference on Web Search and Data Mining;2008:87‐94; New York NY ACM.

2. WangC LiuY WangM et al. In corporating non‐sequential behavior into click models. Paper presented at: Proceedings of the 36th International ACM SIGIR Conference on Research and Development in Information Retrieval;2009:124‐131; New York NY ACM.

3. XuW H ManavogluE Gantu‐PazeE. Temporal click model for sponsored search. Paper presented at: Proceedings of the 3rd ACM International Conference on Web Search and Data Mining;2010:211‐220; New York NY ACM.

4. Predicting ad click-through rates via feature-based fully coupled interaction tensor factorization

5. WangC LiuY Q WangM et al Inferring search behaviors using partially observable Markov model. Paper presented at: Proceedings of the 3rd ACM internation Conference on Web Search and Data Mining;2010:211‐220; New York NY ACM.

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Detecting depression tendency with multimodal features;Computer Methods and Programs in Biomedicine;2023-10

2. The Creation of Dynamic Visual Objects as a Factor for Optimizing Advertisements in E-Commerce;Jurnal The Messenger;2023-06-29