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Information retrieval challenges in computational advertising

Andrei Broder, Evgeniy Gabrilovich, Vanja Josifovski
2010 Proceeding of the 33rd international ACM SIGIR conference on Research and development in information retrieval - SIGIR '10  
Computational advertising is an emerging scientific sub-discipline, at the intersection of large scale search and text analysis, information retrieval, statistical modeling, machine learning, classification  ...  The central challenge of computational advertising is to find the "best match" between a given user in a given context and a suitable advertisement.  ...  Recently, he organized a workshop on the synergy between user-contributed knowledge and research in AI at IJCAI'09, and a workshop on information retrieval for advertising at SIGIR'09.  ... 
doi:10.1145/1835449.1835680 dblp:conf/sigir/BroderGJ10 fatcat:xgntvy5ngvaolayoxtslszzipm

Music Information Retrieval: Recent Developments and Applications

Kushal Dave, Vasudeva Varma
2014 Foundations and Trends in Information Retrieval  
Trends R in Information Retrieval, 2014, Volume 8, 5 issues.  ...  However, unlike document retrieval, the ads are short and noisy. Hence, apart from the challenges faced in organic search, ad retrieval involve additional challenges.  ... 
doi:10.1561/1500000045 fatcat:zlqzjh2h5vgpdcj6f5yze64fk4

IR paradigms in computational advertising

Andrei Z. Broder
2012 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval - SIGIR '12  
The central problem in the emerging discipline of computational advertising is to find the "best match" between a given user in a given context and a suitable advertisement.  ...  The information about the user can vary from scarily detailed to practically nil. The number of potential advertisements might be in the billions.  ...  The aim of this talk is to discuss the penetration of the IR paradigms in computational advertising and present some research challenges and opportunities in this area of enormous economic importance.  ... 
doi:10.1145/2348283.2348445 dblp:conf/sigir/Broder12 fatcat:lzgbq7v56fbsdkyhseq2kensre

Ad Retrieval Systems in vitro and in vivo: Knowledge-Based Approaches to Computational Advertising [chapter]

Evgeniy Gabrilovich
2011 Lecture Notes in Computer Science  
In this talk we discuss the unique algorithmic challenges posed by searching the ad corpus, and report on empirical evaluation of large-scale advertising systems in vivo.  ...  Computational advertising also employs a host of NLP techniques, from text summarization for just-in-time ad matching, to machine translation for cross-language ad retrieval, to natural language generation  ...  Evgeniy taught multiple tutorials on computational advertising and organized a number of workshops at top conferences, including a workshop on feature generation and selection for information retrieval  ... 
doi:10.1007/978-3-642-20161-5_2 fatcat:fl2jhe4d4jgxvkjm2cbugk24qi

Editorial: special issue on "social computing and e-business"

Dongsong Zhang, Wenji Mao, Justin Zhan, Daniel Zeng
2010 Information Systems and E-Business Management  
This ISeB special issue on social computing and e-business consists of a selected set of best papers presented in the  ...  ., focuses on one of the most important yet challenging problems in healthcare information systems, namely electronic medical record (EMR) retrieval.  ...  Social computing can be broadly stated as taking a computational approach to the study and modeling of social interactions and communications as well as developing information and communication technologies  ... 
doi:10.1007/s10257-010-0132-6 fatcat:53khwebp5nc4nnzi7g2waedqb4

A New Approach for Reaching the Customer of the Digital Age: Cross-Device Advertising

R.Gülay Öztürk
2016 Journalism and Mass Communication  
In this context, this study aims to discuss the essentials of a new advertising method called cross-device advertising.  ...  For brands, it is getting more and more difficult to reach users who spend their days and hours in front of different screens and consume information very quickly.  ...  The Challenges of Cross-Device Advertising In addition to its benefits, the cross-device advertising also bring along certain challenges.  ... 
doi:10.17265/2160-6579/2016.01.003 fatcat:smm4zy5spzawpgfdg4qngwibly

Search and browse log mining for web information retrieval

Daxin Jiang, Jian Pei, Hang Li
2010 Proceeding of the 33rd international ACM SIGIR conference on Research and development in information retrieval - SIGIR '10  
Other than search log data, browse logs can be collected by client-side browser plug-ins, which record the browse information if users' permissions are granted.  ...  Huge amounts of search log data have been accumulated in various search engines.  ...  His research focuses on data mining and information retrieval. He received Ph.D. in computer science from the State University of New York at Buffalo.  ... 
doi:10.1145/1835449.1835684 dblp:conf/sigir/JiangPL10 fatcat:ovtjov37xzdjlcpwjt6wftgqt4

Extreme Data [Guest editors' introduction]

Manish Parashar, George K. Thiruvathukal
2014 Computing in science & engineering (Print)  
: Phone: +1 973 304 4123 Fax: +1 973 585 7071 ADVERTISER INFORMATION Advertising Personnel  ...  This article tackles that challenge by looking at sparse methods to support sampling, reconstruction, compression, retrieval, communication, and classification in remote sensing/imaging applications.  ... 
doi:10.1109/mcse.2014.83 fatcat:5ej2cnhkcrdaxiexz5zcusen6y

Text Mining: Design of Interactive Search Engine Based Regular Expressions of Online Automobile Advertisements

Ahmed Adeeb Jalal
2020 International Journal of Engineering Pedagogy (iJEP)  
Information extraction deals with finding factual information in text using learning regular expressions.  ...  Discover of useful and interesting relations from unstructured texts requires more processing by computers.  ...  Now, users can submit search queries to retrieve most relevant information based on query terms, as shown in Algorithm 2.  ... 
doi:10.3991/ijep.v10i3.12419 fatcat:ra72e74tfnejpidkgey2opbafu

Information retrieval and advertising

Mikhail Bilenko, Evgeniy Gabrilovich, Matthew Richardson, Yi Zhang
2009 SIGIR Forum  
The workshop covered theoretical and empirical issues in several research areas that span the intersection of computational advertising, information retrieval, and economics.  ...  The Information Retrieval and Advertising Workshop (IRA 2009) was held on July 23, 2009 in Boston, Massachusetts, in conjunction with the 32nd Annual ACM SIGIR Conference.  ...  Because of the relatively small corpus of content, advertising-based information retrieval performs even worse than Web-based information retrieval when dealing with long queries.  ... 
doi:10.1145/1670564.1670569 fatcat:gpbvcpdaqvaorko75nhqbbk7wi

Public Displays Invade Urban Spaces

Vassilis Kostakos, Timo Ojala
2013 IEEE pervasive computing  
UBI challenge, now in its second instantiation, is inspired by events such as the robocup in robotics and the TrEcVid (TrEc Video retrieval Evaluation) in content-based information retrieval-successful  ...  The inaugural UBI challenge was designed in collaboration with a number of leading international researchers on ubiquitous and urban computing, many of whom are now serving in its jury.  ... 
doi:10.1109/mprv.2013.15 fatcat:tq3kyyvntvclfpohrgvmh6npsy

Introduction to the special issue on multimedia intelligent services and technologies

Zhiwen Yu, Artur Lugmayr, Konstantinos Chorianopoulos, Tao Mei
2010 Multimedia Systems  
overlay in-video advertising.  ...  The system represents one of the first attempts toward contextual overlay video advertising by leveraging information retrieval and multimedia content analysis techniques.  ... 
doi:10.1007/s00530-010-0198-5 fatcat:w6d74qgorbgrnnh3t7um4abxx4

Adversarial Information Retrieval on the Web (AIRWeb 2007)

Carlos Castillo, Kumar Chellapilla, Brian D. Davison
2008 SIGIR Forum  
Adversarial Information Retrieval addresses tasks such as gathering, indexing, filtering, retrieving and ranking information from collections wherein a subset has been manipulated maliciously.  ...  This openness of the Web has been the key to its rapid growth and success, but this openness is also a major source of new adversarial challenges for information retrieval methods.  ... 
doi:10.1145/1394251.1394267 fatcat:ywd3ygzofbbjtbwxshwgu3opy4

Guest Editorial: Challenges and Perspectives for Affective Analysis in Multimedia

Mohammad Soleymani, Yi-Hsuan Yang, Go Irie, Alan Hanjalic
2015 IEEE Transactions on Affective Computing  
, IEEE Transactions on Affective Computing and the International Journal of Multimedia Information Retrieval.  ...  His research interests include music information retrieval, machine learning, and affective computing. " For more information on this or any other computing topic, please visit our Digital Library at  ... 
doi:10.1109/taffc.2015.2445233 fatcat:wfwoyrdqqbclvpeehsswjhkhim

Knowledge discovery over community-sharing media: From signal to intelligence

Winston Hsu, Tao Mei, Rong Yan
2009 2009 IEEE International Conference on Multimedia and Expo  
of photos/videos and the advent of mediasharing services have drastically increased the volume of usercontributed multimedia resources, which bring profound social impacts to the society and pose new challenges  ...  context such as user-provided tags, geolocations, time, device metadata, and so on, benefiting a wide variety of potential applications such as annotation, automatic training data acquisition, contextual advertising  ...  valuable information along with the advertisement.  ... 
doi:10.1109/icme.2009.5202775 dblp:conf/icmcs/HsuMY09 fatcat:nzblrwkfjfdcvfhlc65pvkotbi
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