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 …
based on the social value of Generation Z that online and offline selves are not different …
Use of metaverse technology in education domain
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 …
avatars. The purpose of the virtual surface where it should gather and mirror actual-time …
Robust auction design in the auto-bidding world
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 …
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
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 …
real-time and precise user data untraceable, which poses significant challenges to the …
Keyword targeting optimization in sponsored search advertising: Combining selection and matching
In sponsored search advertising (SSA), advertisers need to select keywords and determine
matching types for selected keywords simultaneously, ie, keyword targeting. An optimal …
matching types for selected keywords simultaneously, ie, keyword targeting. An optimal …
Bayesformer: Transformer with uncertainty estimation
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 …
image processing tasks. However, it lacks understanding of how to generate mathematically …
Active learning for data streams: a survey
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 …
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
In online advertising markets, budget-constrained advertisers acquire ad placements
through repeated bidding in auctions on various platforms. We present a strategy for bidding …
through repeated bidding in auctions on various platforms. We present a strategy for bidding …
The parity ray regularizer for pacing in auction markets
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 …
Internet advertising platforms typically offer advertisers the possibility to pace the rate at …
Combinatorial categorized bandits with expert rankings
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 …
employ two-stage recommendation—in the first stage, multiple nominators (experts) provide …