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Improving Online Display Advertising: The Semantic ApproachPublished by: IDC Published: Jan. 7, 2009 - 12 Pages Table of ContentsTable of Contents IDC Opinion In This Insight Situation Overview The Need for More Relevant Ads Figure: U.S. Consumer Attitudes Toward Online Advertising: Useful Versus Annoying Ad Matching: A Technology in Transition The Right Ad for Each Individual at the Right Time: The Advertiser's Holy Grail Advertising Solutions to Increase Ad Relevance Privacy Figure: U.S. Consumer Attitudes Toward Allowing Behavioral Targeting Figure: U.S. Consumer Attitudes Toward Allowing Social Advertising Dependence on Cookie Data Figure: Anti-Ad Software Tools Used by U.S. Online Users Human Behavior Is Difficult to Predict Enabling More Appropriate Ad Placements Semantic Solutions for Advertising Differ Semantic Classification Statistical Natural Language Processing Semantic Metadata Tagging Current Limitations of Semantic Advertising Solutions Future outlook Essential guidance Learn More Related Research AbstractThis IDC Insight discusses the promise of semantic ad matching, which uses natural language processing techniques to improve the relevance and effectiveness of display ads in ways keyword and contextual matching cannot. This document also compares the semantic advertising approach to behavioral targeting and social advertising. Get Full Details About This Report >> |
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