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- research-articleOctober 2019
APNEA: Intelligent Ad-Bidding Using Sentiment Analysis
WI '19: IEEE/WIC/ACM International Conference on Web IntelligencePages 76–83https://doi.org/10.1145/3350546.3352503Online advertising is one of the most lucrative forms of advertising, making it an important channel of advertising media. Contextual Advertising is a type of online display advertising that takes cues from the content of the triggering page and ...
- research-articleAugust 2014
Filling context-ad vocabulary gaps with click logs
KDD '14: Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data miningPages 1955–1964https://doi.org/10.1145/2623330.2623334Contextual advertising is a form of textual advertising usually displayed on third party Web pages. One of the main problems with contextual advertising is determining how to select ads that are relevant to the page content and/or the user information ...
- posterApril 2014
Automatic keywords generation for contextual advertising
WWW '14 Companion: Proceedings of the 23rd International Conference on World Wide WebPages 345–346https://doi.org/10.1145/2567948.2577361Contextual Advertising (CA) is an important area in the industry of online advertising. Typically, CA algorithms return a set of related ads based on some keywords extracted from the content of webpages. Therefore, extracting the best set of ...
- posterApril 2014
Translation method of contextual information into textual space of advertisements
WWW '14 Companion: Proceedings of the 23rd International Conference on World Wide WebPages 385–386https://doi.org/10.1145/2567948.2577275Contextual advertising has a key problem to determine how to select the ads that are relevant to the page content and/or the user information. We introduce a translation method that learns a mapping of contextual information to the textual features of ...
- demonstrationOctober 2013
CAMMA: contextual advertising system for multimodal news aggregations
MM '13: Proceedings of the 21st ACM international conference on MultimediaPages 455–456https://doi.org/10.1145/2502081.2502266This demo paper describes a system for contextual advertising on aggregations of multimodal news items. The prototype is intended to demonstrate how modern content analysis techniques can be profitably used to automate tasks commonly performed by humans ...
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- research-articleAugust 2013
CTR prediction for contextual advertising: learning-to-rank approach
ADKDD '13: Proceedings of the Seventh International Workshop on Data Mining for Online AdvertisingArticle No.: 4, Pages 1–8https://doi.org/10.1145/2501040.2501978Contextual advertising is a textual advertising displayed within the content of a generic web page. Predicting the probability that users will click on ads plays a crucial role in contextual advertising because it influences ranking, filtering, ...
- research-articleOctober 2012
Advertisement selection for online videos
WebMedia '12: Proceedings of the 18th Brazilian symposium on Multimedia and the webPages 367–374https://doi.org/10.1145/2382636.2382713The significant increase of the audience of video-sharing websites has attracted large investments on contextual advertising. In this paper we investigate alternative techniques for selecting ads to be placed in videos during their exhibitions. In order ...
- research-articleAugust 2012
A keyword-topic model for contextual advertising
SoICT '12: Proceedings of the 3rd Symposium on Information and Communication TechnologyPages 63–70https://doi.org/10.1145/2350716.2350728Contextual advertising is a type of online advertising in which the placement of commercial ads within a web page depends on the relevance of the ads to the page content. A common approach to determine relevance is to score the match between ads and the ...
- posterApril 2012
Extracting advertising keywords from URL strings
WWW '12 Companion: Proceedings of the 21st International Conference on World Wide WebPages 587–588https://doi.org/10.1145/2187980.2188140Extracting advertising keywords from web-pages is important in keyword-based online advertising. Previous works have attempted to extract advertising keywords from the whole content of a web-page. However, in some scenarios, it is necessary to extract ...
- research-articleMarch 2012
Statistical techniques for online personalized advertising: a survey
SAC '12: Proceedings of the 27th Annual ACM Symposium on Applied ComputingPages 680–687https://doi.org/10.1145/2245276.2245406Online advertising is the major source of revenue for most web service providers. Displaying advertisements that match user interests will not only lead to user satisfaction, but it will also maximize the revenues of both advertisers and web publishers. ...
- ArticleMarch 2012
A generate-and-test method of detecting negative-sentiment sentences
CICLing'12: Proceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part IPages 500–512https://doi.org/10.1007/978-3-642-28604-9_41Sentiment analysis requires human efforts to construct clue lexicons and/or annotations for machine learning, which are considered domain-dependent. This paper presents a sentiment analysis method where clues are learned automatically with a minimum ...
- abstractFebruary 2012
Computational advertising: leveraging user interaction & contextual factors for improved ad relevance & targeting
WSDM '12: Proceedings of the fifth ACM international conference on Web search and data miningPages 757–758https://doi.org/10.1145/2124295.2124387Computational advertising refers to finding the most relevant ads matching a particular context on the web. The core problem attacked in computational advertising CA is of the match making between the ads and the context. My research work aims at ...
- posterOctober 2011
Leveraging Wikipedia concept and category information to enhance contextual advertising
CIKM '11: Proceedings of the 20th ACM international conference on Information and knowledge managementPages 2105–2108https://doi.org/10.1145/2063576.2063901As a prevalent type of Web advertising, contextual advertising refers to the placement of the most relevant ads into a Web page, so as to increase the number of ad-clicks. However, some problems of homonymy and polysemy, low intersection of keywords ...
- ArticleAugust 2011
Studying the Impact of Text Summarization on Contextual Advertising
DEXA '11: Proceedings of the 2011 22nd International Workshop on Database and Expert Systems ApplicationsPages 172–176https://doi.org/10.1109/DEXA.2011.78Web advertising, one of the major sources of income for a large number of Web sites, is aimed at suggesting products and services to the ever growing population of Internet users. A significant part of Web advertising consists of textual ads, the ...
- research-articleMarch 2011
A stochastic learning-to-rank algorithm and its application to contextual advertising
WWW '11: Proceedings of the 20th international conference on World wide webPages 377–386https://doi.org/10.1145/1963405.1963460This paper is concerned with the problem of learning a model to rank objects (Web pages, ads and etc.). We propose a framework where the ranking model is both optimized and evaluated using the same information retrieval measures such as Normalized ...
- research-articleMarch 2011
Computational advertising: leveraging user interaction & contextual factors for improved ad retrieval & ranking
WWW '11: Proceedings of the 20th international conference companion on World wide webPages 349–354https://doi.org/10.1145/1963192.1963342Computational advertising, popularly known as Online advertising or Web advertising, refers to finding the most relevant ads matching a particular context on the web. It is a scientific sub-discipline at the intersection of information retrieval, ...
- posterFebruary 2011
Learning website hierarchies for keyword enrichment in contextual advertising
WSDM '11: Proceedings of the fourth ACM international conference on Web search and data miningPages 425–434https://doi.org/10.1145/1935826.1935892In Contextual advertising, textual ads relevant to the content in a webpage are embedded in the page. Content keywords are extracted offline by crawling webpages and then stored in an index for fast serving. Given a page, ad selection involves index ...
- posterOctober 2010
Pattern based keyword extraction for contextual advertising
CIKM '10: Proceedings of the 19th ACM international conference on Information and knowledge managementPages 1885–1888https://doi.org/10.1145/1871437.1871754Contextual Advertising (CA) refers to the placement of ads that are contextually related to the web page content. The science of CA deals with the task of finding advertising keywords from web pages. We present a different candidate selection method to ...
- posterOctober 2010
Relevance-index size tradeoff in contextual advertising
CIKM '10: Proceedings of the 19th ACM international conference on Information and knowledge managementPages 1721–1724https://doi.org/10.1145/1871437.1871713In Contextual advertising, textual ads relevant to the content in a webpage are embedded in the page. Content keywords are extracted offline by crawling webpages and then stored in an index for fast serving. Given a page, ad selection involves index ...
- articleSeptember 2010
A Wikipedia Matching Approach to Contextual Advertising
Contextual advertising is an important part of today's Web. It provides benefits to all parties: Web site owners and an advertising platform share the revenue, advertisers receive new customers, and Web site visitors get useful reference links. The ...
