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Information graph model and application to online advertising

Marina Danilevsky, Eunyee Koh
2013 Proceedings of the 1st workshop on User engagement optimization - UEO '13  
We present an algorithm which adapts a graph-based ranking model to the context of the problem of improving the process of serving advertisements to users.  ...  We also discuss how, in addition to serving as the basis for a classifier, this model may also provide an informative view of the data, which is not possible with black-box approaches, and which therefore  ...  In this paper, we present our Information Graph Model (IGM), a work-in-progress which adapts a graph-based ranking method to the problem of improving the process of serving advertisements to users.  ... 
doi:10.1145/2512875.2512878 dblp:conf/cikm/DanilevskyK13 fatcat:rb7r65fi2vdehi4b5fyr3dl3we

User Response Prediction in Online Advertising [article]

Zhabiz Gharibshah, Xingquan Zhu
2021 arXiv   pre-print
In this survey, we provide a comprehensive review of user response prediction in online advertising and related recommender applications.  ...  Our essential goal is to provide a thorough understanding of online advertising platforms, stakeholders, data availability, and typical ways of user response prediction.  ...  semantics information and corresponding information from a generated knowledge graph data.  ... 
arXiv:2101.02342v2 fatcat:clgefamcd5fmbeg5ephizy3zqu

Query-Variant Advertisement Text Generation with Association Knowledge [article]

Siyu Duan, Wei Li, Cai Jing, Yancheng He, Yunfang Wu, Xu Sun
2021 arXiv   pre-print
Online advertising is an important revenue source for many IT companies.  ...  Both automatic and human evaluations show that our model can generate more attractive advertisement text than baselines.  ...  ETHICAL ISSUES Industrial Application: For the industrial application, the generated ad candidates will be further checked by human annotators before added to the online advertising system to prevent fake  ... 
arXiv:2004.06438v3 fatcat:qvrd6lan5ze5rdg64bibrdbbhm

Semantic Advertising [article]

Ben Zamanzadeh, Naveen Ashish, Cartic Ramakrishnan, John Zimmerman
2013 arXiv   pre-print
Semantic Advertising is online advertising powered by semantic technology which essentially enables us to represent and reason with concepts and the meaning of things.  ...  We present the concept of Semantic Advertising which we see as the future of online advertising.  ...  semantic querying of information over the Facebook graph of concepts and relationships.  ... 
arXiv:1309.5018v1 fatcat:ddnvazemvfc2ll2ttveary3gqe

Online Stochastic Weighted Matching: Improved Approximation Algorithms [chapter]

Bernhard Haeupler, Vahab S. Mirrokni, Morteza Zadimoghaddam
2011 Lecture Notes in Computer Science  
for any bipartite graph to 0.7036.  ...  In this problem, given an edge-weighted bipartite graph, nodes of one side arrive online i.i.d. according to a known probability distribution.  ...  In this problem, given a bipartite graph G(A, I, E) with advertisers A and impressions I, and a set E of edges between them. Advertisers in A are fixed and known.  ... 
doi:10.1007/978-3-642-25510-6_15 fatcat:7znngqjwffez7erha44ve35zsy

Online Social Networks: Status and Trends [chapter]

George Pallis, Demetrios Zeinalipour-Yazti, Marios D. Dikaiakos
2011 Studies in Computational Intelligence  
The rapid proliferation of Online Social Network (OSN) sites has made a profound impact on the WWW, which tends to reshape its structure, design, and utility.  ...  Additionally, it provides a state-of-the-art survey of popular OSN systems, examining their architectural designs and business models.  ...  RDF based descriptions of social data provide a rich typed graph and offer a much more powerful and significant way to represent online social networks than social graphs.  ... 
doi:10.1007/978-3-642-17551-0_8 fatcat:v4wxdsc3ubfproynb2bijpn4mq

Stochastic Blockmodeling for Online Advertising [article]

Li Chen, Matthew Patton
2014 arXiv   pre-print
Online advertising is an important and huge industry.  ...  We propose two clustering algorithms to discover the instrinsic structures of websites, and compare the performance with a goodness-of-fit method and a deterministic graph partitioning method.  ...  We are optimistic that random graph framework is valuable for online advertising research.  ... 
arXiv:1410.6714v2 fatcat:5nebqrgxbjci7o7hailsqm4mve

Must social networking conflict with privacy?

Jonathan Anderson, Frank Stajano
2013 IEEE Security and Privacy  
Online social networks (OSNs) have serious privacy drawbacks, some of which stem from the business model. Must this be? Is the current OSN business model the only viable one?  ...  Or can we construct alternatives that are technically and economically feasible?  ...  Building a reliable P2P network often requires exposing some amount of social graph information to the network. 15 But it's the social graph that we most want to protect!  ... 
doi:10.1109/msp.2013.23 fatcat:fdpmxw6q3vbzlodou6r3b6sdhi

Intent-Based User Segmentation with Query Enhancement

Wei Xiong, Michael Recce, Brook Wu
2013 International Journal of Information Retrieval Research  
To some extent, behavioral targeting is another application of machine learning methods to online advertising.  ...  As a rich source of information on web searchers' behavior, query logs have been utilized by advertising companies to deliver personalized advertisements and leveraged by researchers to tackle other application  ... 
doi:10.4018/ijirr.2013100101 fatcat:2sh4kotdsrh33k4etfu2o3xuoq

Issue Information

2021 Networks  
The price includes online access to the current and all online backfiles to January 1 st 2017, where available.  ...  This free, stand-alone software application will help you to inspect and verify illustrations right on your computer.  ...  The goal of this journal is to provide a central forum for the distribution of timely information about network problems, their design and mathematical analysis, as well as efficient algorithms for carrying  ... 
doi:10.1002/net.21953 fatcat:ceu2j2tnivem3bcb3wrfjoorrm

The Game Trace Archive

Yong Guo, Alexandru Iosup
2012 2012 11th Annual Workshop on Network and Systems Support for Games (NetGames)  
Finally, we discuss possible applications of the GTA in gaming area such as game resource management, Quality of Experience for players, and advertisement.  ...  We collect in the GTA traces corresponding to more than 8 million real players and more than 200 million information items, spanning over 14 operational years.  ...  We focus in this work on potential application of the GTA data to select the location and moment to integrate advertisement. 1) Integrating advertisements into games with less influence to gaming experience  ... 
doi:10.1109/netgames.2012.6404027 dblp:conf/netgames/GuoI12 fatcat:4zgpgv6zlrfgvfcrdetpxxvpzy

GFD: A Weighted Heterogeneous Graph Embedding Based Approach for Fraud Detection in Mobile Advertising

Jinlong Hu, Tenghui Li, Yi Zhuang, Song Huang, Shoubin Dong
2020 Security and Communication Networks  
However, such approaches may suffer from labor-intensive feature engineering and robustness of the detection algorithms, since the online advertising big data and complex fraudulent advertising actions  ...  Online mobile advertising plays a vital role in the mobile app ecosystem.  ...  Second, we proposed a fusing model to combine attribute-based and graph-based information for mobile advertising fraud detection by graph embedding and deep learning methods.  ... 
doi:10.1155/2020/8810817 fatcat:6weqvgg3t5aphftf2grum44aoy

A Study on the Intelligent Business Matching System Using Celebrity Relationship Graph

Yunsik Son, Junho Jeong, Seokhoon Ko, Seman Oh
2016 International Journal of Software Engineering and Its Applications  
and professional services, proposed a graph-based matching model for matching.  ...  It uses weight based algorithm and matching model based on well-known person relation graph.  ...  and overseas business activation of small business and manufactures) funded By the Ministry of Trade, industry & Energy(MI, Korea)  ... 
doi:10.14257/ijseia.2016.10.4.12 fatcat:3eevksaysjdo5lvipmbommxzba

User Clustering Algorithms in Online Advertising

2019 International journal of recent technology and engineering  
The audience communicates with the digital world by using search engines, social networking, online market- ing and banking sites and many more.  ...  To generate more income through advertisement the ad-publishers and the ad-networks need to be watchful about users interest when targeting them for their brand or product pro- motion through these channels  ...  The capability to track and model each user has inspired the creation of numerous applications like targeted advertising.  ... 
doi:10.35940/ijrte.b1006.0782s419 fatcat:cxc2gim545gqzcajajdw3afscm

Issue Information

2018 Networks  
This free, stand-alone software application will help you to inspect and verify illustrations right on your computer.  ...  Grunbaum and G.C. Shephard, Edge-transitive planar graphs, J. Graph Theory 11 (1987), 141-156. Book [1] J.L. Gross and T.W. Tucker, Topological Graph Theory, Wiley, New York, 1987. book [1] R.C.  ...  The goal of this journal is to provide a central forum for the distribution of timely information about network problems, their design and mathematical analysis, as well as efficient algorithms for carrying  ... 
doi:10.1002/net.21775 fatcat:xqr4ld7mibfznj55wua2girpri
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