[HTML][HTML] ReCovNet: Reinforcement learning with covering information for solving maximal coverage billboards location problem

Y Zhong, S Wang, H Liang, Z Wang, X Zhang… - International Journal of …, 2024 - Elsevier
Maximizing billboard coverage with limited resources and different objective goals plays a
vital role in social activities. The Maximal Coverage Billboard Location Problem (MCBLP) is …

Event-based dynamic graph representation learning for patent application trend prediction

T Zou, L Yu, L Sun, B Du, D Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Accurate prediction of what types of patents that companies will apply for in the next period
of time can figure out their development strategies and help them discover potential partners …

Computing advertising intelligent computing and push based on artificial intelligence in the big data era

L Shan - Heliyon, 2024 - cell.com
In the era of big data, intelligent computation and precise targeting of advertisements rely on
artificial intelligence (AI) technology to enhance advertising effectiveness and user …

An intelligent marketing platform with influencer classification in social networking services

X Yu, J Kim, Y Ahn, M Gu, JP Jeong, JY Bak… - Knowledge-Based …, 2025 - Elsevier
Collaborations with influencers in social networking services (SNS) for online commercial
advertisement has gained significant momentum in recent years. However, the existing …

CrowdTelescope: Wi-Fi-positioning-based multi-grained spatiotemporal crowd flow prediction for smart campus

S Zhang, B Deng, D Yang - CCF Transactions on Pervasive Computing …, 2023 - Springer
Crowd flow prediction is one of the key problems in human mobility modeling, forecasting
crowd flows of locations based on historical human mobility traces. Traditional human …

Influential billboard slot selection using spatial clustering and pruned submodularity graph

D Ali, S Banerjee, Y Prasad - arxiv preprint arxiv:2305.08949, 2023 - arxiv.org
Billboard advertising is a popular out-of-home advertising technique adopted by commercial
houses. Companies own billboards and offer them to commercial houses on a payment …

Influential billboard slot selection using pruned submodularity graph

D Ali, S Banerjee, Y Prasad - … Conference on Advanced Data Mining and …, 2022 - Springer
Billboard Advertisement has emerged as an effective out-of-home advertisement technique
and adopted by many commercial houses. In this case, the billboards are owned by some …

Minimizing regret in billboard advertisement under zonal influence constraint

D Ali, S Banerjee, Y Prasad - arxiv preprint arxiv:2402.01294, 2024 - arxiv.org
In a typical billboard advertisement technique, a number of digital billboards are owned by
an influence provider, and many advertisers approach the influence provider for a specific …

Toward regret-free slot allocation in billboard advertisement

D Ali, S Banerjee, Y Prasad - International Journal of Data Science and …, 2024 - Springer
Creating and maximizing influence among the customers is one of the central goals of an
advertiser and, hence, remains an active area of research in recent times. In this …

Impact of Strategic Ambiguity Tagline on Billboard Advertising on Consumers Attention

Z Hasan, M Naeem, S Ahmed, S Zeerak - Market Forces, 2022 - kiet.edu.pk
It has become difficult for firms to attract and retain customers in the prevailing competitive
era. Therefore, they spend considerable resources on advertising mediums, including …