Sign for Notice Everyday    Sign Up| Sign In| Link| English|

Our Sponsors


    TVM2P 2012 - International Workshop on TV and Multimedia Personalization

    View: 2225

    Website http://umap2012.polymtl.ca/en/ | Want to Edit it Edit Freely

    Category TVM2P 2012

    Deadline: May 13, 2012 | Date: July 16, 2012-July 20, 2012

    Venue/Country: Montreal, Canada

    Updated: 2012-03-16 18:24:10 (GMT+9)

    Call For Papers - CFP

    Nowadays wired and wireless broadband infrastructures facilitate seamless user access to interactive TV and media content through various means, like the Web, mobile network, and smart TV. Several technologies, like Web-based TV, IPTV, and Broadcast TV, have emerged and followed parallel development paths, and they all followed the paradigm of considering the users to be the distributors, consumers, and sometimes even the suppliers of the media content. In this setting, each user contributes to the delivery of content in a complex and heterogeneous environment consisting of diverse platforms (wired, wireless, mobile, fixed, ad-hoc), devices (TV, smartphone, PC, tablet, public display), and users (preferences, interests, needs, demographic characteristics).

    This cross-platform convergence of TV, media, and the Web has revolutionized the established TV and media content consumption practices. In addition to the pure viewing functionalities like skipping, repeating, or recording content, it allows users to access additional information about the media content, virtually socialize with other users, select their desired content to consume and determine its delivery mode, express their experiences and feelings, and affect other users. This, however, raises numerous challenges related to user modeling and personalization, and brings to the fore research questions related to user interaction, social media, and content delivery. For example, users influence each other through the exchange of ratings and comments about the consumed media content, they are connected 24x7 through a variety of devices and many networks, they leave identifiable traces that can be used to profile them, and they interact with other information, devices, and users while consuming the media content. The workshop will center on these and other questions related to user modeling and personalization for interactive TV and media content consumption.

    Objectives

    The workshop has two key objectives. Firstly, we aim to provide a venue for the presentation of the latest approaches, systems, and applications focused in the area of TV and media content consumption personalization. Secondly, we intend to structure the workshop in a way that will facilitate direct interaction, sharing of research findings, and establishment of collaborations. More specifically, the workshop aims to:

    Provide the venue to report the latest research findings and advancements in the area of interactive TV and media content personalization.

    Foster interaction and exchange of ideas within the TV and media content personalization research community.

    Provide an opportunity for information exchange and possible future research collaboration within the community

    Re-visit the research agenda in the area of TV and media content personalization in the light of recent developments in the Social Web, Semantic Web, and Mobile/Ubiquitous Computing research.

    Scope

    The scope of the workshop includes (but is not limited to) the following topics around TV, video, and media content personalization:

    User modeling from user-content interactions

    Personalization and user-based adaptation

    Intelligent filtering and search

    Personalized content delivery

    Adaptive recommendations

    Cold-start problem in media personalization

    Group- and family-based recommendations

    Context-aware recommendations

    Automatic content annotation

    Media content consumption and social networks

    Use of ubiquitous and mobile devices

    Intelligent interfaces for media content

    Privacy and ethical issues

    Crowd-sourcing on media content

    Viral content distribution

    Architectures and platforms

    Applications in various domains such as entertainment, advertisement, e-commerce, and e-health


    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
    Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.