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In this paper, we propose a novel incentive based Demand Response (DR) program with a self reported baseline mechanism. The System Operator (SO) managing the DR program recruits consumers or aggregators of DR resources. The recruited…

Systems and Control · Electrical Eng. & Systems 2024-12-20 Deepan Muthirayan , Enrique Baeyens , Pratyush Chakraborty , Kameshwar Poolla , Pramod P. Khargonekar

In programmatic advertising, ad slots are usually sold using second-price (SP) auctions in real-time. The highest bidding advertiser wins but pays only the second-highest bid (known as the winning price). In SP, for a single item, the…

Machine Learning · Computer Science 2020-01-22 Aritra Ghosh , Saayan Mitra , Somdeb Sarkhel , Jason Xie , Gang Wu , Viswanathan Swaminathan

In collaborative data sharing and machine learning, multiple parties aggregate their data resources to train a machine learning model with better model performance. However, as the parties incur data collection costs, they are only willing…

This paper presents a novel data-driven method that determines the daily consumption patterns of customers without smart meters (SMs) to enhance the observability of distribution systems. Using the proposed method, the daily consumption of…

Systems and Control · Computer Science 2019-01-23 Yuxuan Yuan , Kaveh Dehghanpour , Fankun Bu , Zhaoyu Wang

We study the effects of data sharing between firms on prices, profits, and consumer welfare. Although indiscriminate sharing of consumer data decreases firm profits due to the subsequent increase in competition, selective sharing can be…

Computer Science and Game Theory · Computer Science 2022-05-24 Ronen Gradwohl , Moshe Tennenholtz

Recent advances in technology enable public or commercial establishments and individual data plan subscribers to operate as Wi-Fi providers, offering Internet access. However, the model of a monthly flat service fee charged by ISP to…

Networking and Internet Architecture · Computer Science 2017-05-16 Hengky Susanto , Bhanu Kaushik , Benyuan Liu , Honggang Zhang , ByungGuk Kim

In this paper, we investigate cost-aware joint learning and optimization for multi-channel opportunistic spectrum access in a cognitive radio system. We investigate a discrete time model where the time axis is partitioned into frames. Each…

Networking and Internet Architecture · Computer Science 2018-04-12 Chao Gan , Ruida Zhou , Jing Yang , Cong Shen

Crowdsourced wireless community networks can effectively alleviate the limited coverage issue of Wi-Fi access points (APs), by encouraging individuals (users) to share their private residential Wi-Fi APs with others. In this paper, we…

Computer Science and Game Theory · Computer Science 2016-11-17 Qian Ma , Lin Gao , Ya-Feng Liu , Jianwei Huang

Sponsored search ads appear next to search results when people look for products and services on search engines. In recent years, they have become one of the most lucrative channels for marketing. As the fundamental basis of search ads,…

Information Retrieval · Computer Science 2021-04-27 Chaozhuo Li , Bochen Pang , Yuming Liu , Hao Sun , Zheng Liu , Xing Xie , Tianqi Yang , Yanling Cui , Liangjie Zhang , Qi Zhang

Ride-hailing marketplaces like Uber and Lyft use dynamic pricing, often called surge, to balance the supply of available drivers with the demand for rides. We study driver-side payment mechanisms for such marketplaces, presenting the…

Computer Science and Game Theory · Computer Science 2021-03-09 Nikhil Garg , Hamid Nazerzadeh

The travel marketing platform of Alibaba serves an indispensable role for hundreds of different travel scenarios from Fliggy, Taobao, Alipay apps, etc. To provide personalized recommendation service for users visiting different scenarios,…

Machine Learning · Computer Science 2021-10-20 Qijie Shen , Wanjie Tao , Jing Zhang , Hong Wen , Zulong Chen , Quan Lu

This paper presents the advantages of alternative data from Super-Apps to enhance user' s income estimation models. It compares the performance of these alternative data sources with the performance of industry-accepted bureau income…

Machine Learning · Computer Science 2021-08-04 Gabriel Suarez , Juan Raful , Maria A. Luque , Carlos F. Valencia , Alejandro Correa-Bahnsen

The buying and selling of information is taking place at a scale unprecedented in the history of commerce, thanks to the formation of online marketplaces for user data. Data providing agencies sell user information to advertisers to allow…

Computer Science and Game Theory · Computer Science 2012-04-26 Moshe Babaioff , Robert Kleinberg , Renato Paes Leme

Licensed Shared Access (LSA) is a spectrum sharing mechanism where bandwidth is shared between a primary network, called incumbent, and a secondary mobile network. In this work, we address dynamic spectrum management mechanisms for LSA…

Networking and Internet Architecture · Computer Science 2018-09-05 M. Majid Butt , Irene Macaluso , Carlo Galiotto , Nicola Marchetti

User marketing is a key focus of consumer-based internet companies. Learning algorithms are effective to optimize marketing campaigns which increase user engagement, and facilitates cross-marketing to related products. By attracting users…

Machine Learning · Computer Science 2020-04-24 Will Y. Zou , Shuyang Du , James Lee , Jan Pedersen

Online advertisement is the main source of revenue for Internet business. Advertisers are typically ranked according to a score that takes into account their bids and potential click-through rates(eCTR). Generally, the likelihood that a…

Machine Learning · Statistics 2018-07-06 Lulu Wang , Huahui Liu , Guanhao Chen , Shaola Ren , Xiaonan Meng , Yi Hu

The revenue maximization problem of service provider is considered and different pricing schemes to solve the above problem are implemented. The service provider can choose an apt pricing scheme subjected to limited resources, if he knows…

Networking and Internet Architecture · Computer Science 2014-03-13 Aditya Goyal , Akanksha Tyagi , Manisha Bhende , Swapnil Kawade

Online platforms, including social media and search platforms, have routinely used their users' data for targeted ads, to improve their services, and to sell to third-party buyers. But an increasing awareness of the importance of users'…

Computer Science and Game Theory · Computer Science 2024-02-13 Sukanya Kudva , Anil Aswani

Demand-side management (DSM) enables distribution system operators (DSOs) to steer electricity consumption through dynamic price signals or incentive mechanisms, thereby leveraging end-users' flexibility potential for delivering grid…

Optimization and Control · Mathematics 2026-05-04 Silvia Cianchi , Reza Rahimi Baghbadorani , Anibal Sanjab , Sergio Grammatico

Future wireless networks will progressively displace service provisioning towards the edge to accommodate increasing growth in traffic. This paradigm shift calls for smart policies to efficiently share network resources and ensure service…

Networking and Internet Architecture · Computer Science 2018-09-25 B. Lorenzo , A. Shams Shafigh , J. Liu , J. Gonzalez Castano , Y. Fang