A metaverse: Taxonomy, components, applications, and open challenges

SM Park, YG Kim - IEEE access, 2022 - ieeexplore.ieee.org
Unlike previous studies on the Metaverse based on Second Life, the current Metaverse is
based on the social value of Generation Z that online and offline selves are not different …

Use of metaverse technology in education domain

KR Rahman, SK Shitol, MS Islam, KT Iftekhar… - Journal of …, 2023 - dergipark.org.tr
Metaverse is the digital mirror of the physical world where users are connected as individual
avatars. The purpose of the virtual surface where it should gather and mirror actual-time …

Robust auction design in the auto-bidding world

S Balseiro, Y Deng, J Mao… - Advances in Neural …, 2021 - proceedings.neurips.cc
In classic auction theory, reserve prices are known to be effective for improving revenue for
the auctioneer against quasi-linear utility maximizing bidders. The introduction of reserve …

Spending programmed bidding: Privacy-friendly bid optimization with roi constraint in online advertising

Y Su, M **ang, Y Chen, Y Li, T Qin, H Zhang… - Proceedings of the 30th …, 2024 - dl.acm.org
Privacy policies have disrupted the multi-billion dollar online advertising market by making
real-time and precise user data untraceable, which poses significant challenges to the …

Keyword targeting optimization in sponsored search advertising: Combining selection and matching

H Li, Y Yang - Electronic Commerce Research and Applications, 2022 - Elsevier
In sponsored search advertising (SSA), advertisers need to select keywords and determine
matching types for selected keywords simultaneously, ie, keyword targeting. An optimal …

Bayesformer: Transformer with uncertainty estimation

KA Sankararaman, S Wang, H Fang - arxiv preprint arxiv:2206.00826, 2022 - arxiv.org
Transformer has become ubiquitous due to its dominant performance in various NLP and
image processing tasks. However, it lacks understanding of how to generate mathematically …

Active learning for data streams: a survey

D Cacciarelli, M Kulahci - Machine Learning, 2024 - Springer
Online active learning is a paradigm in machine learning that aims to select the most
informative data points to label from a data stream. The problem of minimizing the cost …

Multi-platform budget management in ad markets with non-ic auctions

F Susan, N Golrezaei, O Schrijvers - arxiv preprint arxiv:2306.07352, 2023 - arxiv.org
In online advertising markets, budget-constrained advertisers acquire ad placements
through repeated bidding in auctions on various platforms. We present a strategy for bidding …

The parity ray regularizer for pacing in auction markets

A Celli, R Colini-Baldeschi, C Kroer… - Proceedings of the ACM …, 2022 - dl.acm.org
Budget-management systems are one of the key components of modern auction markets.
Internet advertising platforms typically offer advertisers the possibility to pace the rate at …

Combinatorial categorized bandits with expert rankings

SR Chowdhury, G Sinha… - Uncertainty in …, 2023 - proceedings.mlr.press
Many real-world systems such as e-commerce websites and content-serving platforms
employ two-stage recommendation—in the first stage, multiple nominators (experts) provide …