Large-scale causal approaches to debiasing post-click conversion rate estimation with multi-task learning

W Zhang, W Bao, XY Liu, K Yang, Q Lin… - Proceedings of The …, 2020 - dl.acm.org
Post-click conversion rate (CVR) estimation is a critical task in e-commerce recommender
systems. This task is deemed quite challenging under industrial setting with two major …

[PDF][PDF] 个性化广告推荐系统及其应用研究

张玉洁, 董政, 孟祥武 - 计算机学报, 2021 - cjc.ict.ac.cn
摘要近年来, 随着互联网及智能移动设备的发展和普及, 丰富了广告的推送方式和投放平台.
但是传统的广告推送无法满足用户对个性化广告的需求, 导致用户对广告产生抵触情绪 …

Ranking-Aware Unbiased Post-Click Conversion Rate Estimation via AUC Optimization on Entire Exposure Space

Y Liu, Q Jia, S Shi, C Wu, Z Du, Z Xie, R Tang… - Proceedings of the 18th …, 2024 - dl.acm.org
Estimating the post-click conversion rate (CVR) accurately in ranking systems is crucial in
industrial applications. However, this task is often challenged by data sparsity and selection …

[PDF][PDF] The Digital Advertising Ecosystem Visualization–Literature Review

V Stallone, M Klaas - Held on the 12th IADIS International …, 2019 - researchgate.net
In this reflection paper we suggest the need for a standardization of digital advertising
ecosystem conceptual flow visualizations. We do so, because of the diversity of available …

Using categorized web browsing history to estimate the user's latent interests for web advertisement recommendation

P Siriaraya, Y Yamaguchi, M Morishita… - … Conference on Big …, 2017 - ieeexplore.ieee.org
Online advertising has become a popular method for companies to market their products
and services to potential customers. The methods used by conventional web advertisement …

Ad Recommendation utilizing user behavior in the physical space to represent their latent interest

T Omura, K Suzuki, P Siriaraya, M Mittal… - … conference on big …, 2020 - ieeexplore.ieee.org
Advertisement (ad) recommendation services for mobile users are rapidly increasing. The
conventional ways of recommending ads are based on the analysis of user's explicit …

The digital advertising conceptual flow: a literature review

V Stallone - Marketing and Smart Technologies: Proceedings of …, 2020 - Springer
This paper presents a systematic review of the literature of 22 research articles, which used
a visualization of the digital advertising conceptual flow with a focus on programmatic …

[图书][B] Towards Fair and Interpretable AI Healthcare predictive Models: from wearable sensors to causal graphs

W Zhang - 2023 - search.proquest.com
The rapid expansion of data in the healthcare sector has highlighted the need for powerful
and user-friendly artificial intelligence (AI) techniques in the medical field. Although AI …

[PDF][PDF] Recommending Web Advertisements based on Long-Short Term User Interest.

P Siriaraya, Y Yamaguchi, M Morishita, Y Inagaki… - IUI Workshops, 2019 - ceur-ws.org
This paper reports the results of a study carried out to develop a system to recommend web
advertisements to users based on their latent interests in an online real time bidding …

A Proposal of Latent Interest Analysis by Geo-tagged SNS for Advertisement Recommendation

T Omura, Y Kawai, S Nakajima, K Suzuki… - Proceedings of the 28th …, 2020 - dl.acm.org
advertisement (ad) recommendation services for mobile users is rapidly increasing. The
conventional ways of recommending ads are based on the analysis of users' explicit …