Screen real estate ownership based mechanism for negotiating advertisement display

As popularity of online video grows, a number of models of advertising are emerging. It is typically the brokers – usually the operators of websites – who maintain the balance between content and advertising. Existing approaches focus primarily on personalizing advertisements for viewer segments, with minimal decision-making capacity for individual viewers. We take a resource ownership view on this problem. We view consumers’ attention space, which can be abstracted as a display screen for an engaged viewer, as precious resource owned by the viewer. Viewers pay for the content they wish to view in dollars, as well as in terms of their attention. Specifically, advertisers may make partial payment for a viewer’s content, in return for receiving the viewer’s attention to their advertising. Our approach, named “FlexAdSense”, is based on CyberOrgs model, which encapsulates distributed owned resources for multi-agent computations. We build a market of viewers’ attention space in which advertisers can trade, just as viewers can trade in a market of content. We have developed key mechanisms to give viewers flexible control over the display of advertisements in real time. Specific policies needed for automated negotiations can be plugged-in. This approach relaxes the exclusivity of the relationship between advertisers and brokers, and empowers viewers, enhancing their viewing experience. This thesis presents the rationale, design, implementation, and evaluation of FlexAdSense. Feature comparison with existing advertising mechanisms shows how FlexAdSense enables viewers to control with fine-grained flexibility. Experimental results demonstrate the scalability of the approach, as the number of viewers increases. A preliminary analysis of user overhead illustrates minimal attention overhead for viewers as they customize their policies

Video advertisement mining for predicting revenue using random forest

Shaken by the threat of financial crisis in 2008, industries began to work on the topic of predictive analytics to efficiently control inventory levels and minimize revenue risks. In this third-generation age of web-connected data, organizations emphasized the importance of data science and leveraged the data mining techniques for gaining a competitive edge. Consider the features of Web 3.0, where semantic-oriented interaction between humans and computers can offer a tailored service or product to meet consumers\u27 needs by means of learning their preferences. In this study, we concentrate on the area of marketing science to demonstrate the correlation between TV commercial advertisements and sales achievement. Through different data mining and machine-learning methods, this research will come up with one concrete and complete predictive framework to clarify the effects of word of mouth by using open data sources from YouTube. The uniqueness of this predictive model is that we adopt the sentiment analysis as one of our predictors. This research offers a preliminary study on unstructured marketing data for further business use

User generated content for IMS-based IPTV

Includes abstract.Includes bibliographical references.Web 2.0 services have been on the rise due to improved bandwidth availability. Users can now connect to the internet with a variety of portable devices which are capable of performing multiple tasks. Due to this, services such as Voice over IP (VoIP), presence, social networks, instant messaging (IM) and Internet Protocol television (IPTV) to mention but a few, started to emerge...This thesis proposed a framework that will offer user-generated content on an IMS-Based IPTV and the framework will include a personalised advertising system..

Saving New Sounds

"Over seventy-five million Americans listen to podcasts every month, and the average weekly listener spends over six hours tuning into podcasts from the more than thirty million podcast episodes currently available. Yet despite the excitement over podcasting, the sounds of podcasting’s nascent history are vulnerable and they remain mystifyingly difficult to research and preserve. Podcast feeds end abruptly, cease to be maintained, or become housed in proprietary databases, which are difficult to search with any rigor. Podcasts might seem to be highly available everywhere, but it’s necessary to preserve and analyze these resources now, or scholars will find themselves writing, researching, and thinking about a past they can’t fully see or hear. This collection gathers the expertise of leading and emerging scholars in podcasting and digital audio in order to take stock of podcasting’s recent history and imagine future directions for the format. Essays trace some of the less amplified histories of the format and offer discussions of some of the hurdles podcasting faces nearly twenty years into its existence. Using their experiences building and using the PodcastRE database—one of the largest publicly accessible databases for searching and researching podcasts—the volume editors and contributors reflect on how they, as media historians and cultural researchers, can best preserve podcasting’s booming audio cultures and the countless voices and perspectives podcasting adds to our collective soundscape.

Embedded Advertising and the Venture Consumer

Embedded advertising—marketing that promotes brands from within entertainment content—is a thriving, rapidly changing practice. Analysts estimate that embedded advertising expenditures will exceed $10 billion in 2010. The market continues to grow even as traditional advertising revenues contract. The relatively few legal scholars who have studied embedded advertising believe that it is under-regulated. Ineffective regulation, they claim, is deeply troubling because corporations may, with legal impunity, deceptively pitch products to trusting viewers. Critics charge that embedded advertising creates hyper-commercialism, distorts consumers\u27 tastes, taints the artistic process, and erodes faith in public discourse. This Article argues that the critics are wrong. Sponsorship disclosure law under the Communications Act of 1934 and related regulations is indeed largely ineffective, in part because the media industry has consolidated considerably and in part because the drafters could not imagine the diverse ways we create and consume media content in the twenty-first century. Congress conceived the law not only for yesterday\u27s marketplace, but also for yesterday\u27s consumer. The media consumer today is a venture consumer. Often, she knows what she wants, knows where to get it, and is aware of the risks and costs involved. The mismatch between regulators\u27 imagined consumer and the contemporary consumer means that expanded regulation of embedded advertising according to current reform proposals could end up harming consumers more than helping them. Moreover, embedded advertising is not especially amenable to effective regulation, given the incentives for artists and advertisers to collaborate in the production of entertainment content. In light of both the difficulty of correcting the regime\u27s flaws and the consumer interests threatened by expanded regulation, this Article concludes that maintaining the law as-is—rather than expanding it through the proposed reforms—better serves the consumer