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What Transmedia Creators Can Learn From Social TV

What Transmedia Creators Can Learn From Social TV | Big Media (En & Fr) | Scoop.it

Mike Vogel:  "Social TV is already one of the biggest trends of 2013, but if you’re an independent transmedia producer it might be hard to see how this trend benefits your project" ...


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The Digital Rocking Chair's curator insight, February 27, 2013 4:34 AM

Some great tips on utilizing Social TV techniques for smaller transmedia projects.

Big Media (En & Fr)
Connecting Media, Audience and Advertsing with Data. How media companies can benefit from Big Data, Open Data , Linked Data, Small Data to value their assets, improve their audience satisfaction and better monetize their inventories
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First BIG MEDIA event Connecting Media, Audience and Advertising with data in Madrid this June

First BIG MEDIA event Connecting Media, Audience and Advertising with data in Madrid this June | Big Media (En & Fr) | Scoop.it

Connecting Media, Audience and Advertising with Data

24 June 2014 – UAM Madrid

150 professionals / 30 speakers

keynotes / round tables / user cases / networking

  

Digitalization has positioned data in the center of the audiovisual media ecosystem.

A better control of content combined with a better understanding of the audience already enables to back up editorial decisions. It opens opportunities to offer more relevant content and more personalized experiences adapted to multi-device and contextual environment.

For publishers, how to efficiently leverage data has turned into a strategic question and became a new key to power its editorial, marketing and sales activities.

Good use of data enables to structure catalogues, reinforce the value of its assets, better know its audience and monetize its inventories thanks to new tools. When it is well controlled it can lead to find new audiences and open ways to diversification.

 

How Big, Small, Open and Linked Data can transform media contents into structured, rich and actionable knowledge?

How data help to connect audience with relevant content and drive the entertainment experience?

How business intelligence and real time analytic open doors for advanced advertizing solutions and new business opportunities for content owners and mediabrands?

 

On the 24th of June in Madrid, 150 professionals with 30 experts will explore those questions via practical cases, inspiring keynotes and debates.

In parallel, workshops will allow to better understand the practical operations of professional solutions critical for the success of Big Media.


More info : www.bigmediaconnect.es


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SemanticSVD++: Incorporating Semantic Taste Evolution for Predicting …

Presentation slides from the International Conference on Web Intelligence 2014.
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A Look at the Social EPG | FYI Television

A Look at the Social EPG | FYI Television | Big Media (En & Fr) | Scoop.it

When we previously discussed the history of the electronic program guide, we revealed that the next level for EPGs would be social iterations.

A social EPG consists of the traditional television listings supplemented with aspects of social media (e.g. Twitter, Facebook, etc.) and/or other methods for engagement with people.

Several different IPTV publishers and app services are providing this kind of EPG now, and the trend seems to be growing in countries other than the United States.
 - See more at: http://blog.fyitelevision.com/2014/08/a-look-at-social-epg.html#sthash.9eVF5agV.dpuf

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GroupM's Move Toward Transparency | MediaPost

GroupM's Move Toward Transparency | MediaPost | Big Media (En & Fr) | Scoop.it

There's no doubting the impact that open exchanges and programmatic buying have had on the advertising landscape. But while unlimited scale for cheap is compelling, it does have its downside. For GroupM agencies, that downside appears to have finally won out. In a strategic and well-defended move, GroupM has agreed to stop buying into open exchanges, illustrating that agencies and advertisers should be building direct publisher relationships or working with trusted partners that leverage O&O/direct publisher inventory.

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Netflix reportedly planning Spain launch for 2015 » Digital TV Europe

Netflix reportedly planning Spain launch for 2015 » Digital TV Europe | Big Media (En & Fr) | Scoop.it

Netflix is due to launch in Spain in the last quarter of 2015, according to a report this week by Spanish news agency, Europa Press.

The report, which cites sources close to Netflix, said that the movie and TV streaming business is planning a second wave of major expansions in Europe in Q4 next year.

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Should publishers be taking better advantage of evergreen content in their archives? | Poynter.

Should publishers be taking better advantage of evergreen content in their archives? | Poynter. | Big Media (En & Fr) | Scoop.it

For most publishers, less than 10 percent of June page views came from traffic to evergreen articles — stories that were more than three days old byParse.ly’s definition.

Among the publishers included in the analytics company’s data: Upworthy, Conde Nast properties, The Atlantic properties, Fox News, The New York Post, Mashable, Slate, Business Insider, The Daily Beast, The Next Web and The New Republic.

Nearly half of the publishers see less than 5 percent of their web traffic attributed to content that is more than three days old, according to Parse.ly:

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Big Data Solutions Powering the Music Industry - Microsoft for Work

Big Data Solutions Powering the Music Industry - Microsoft for Work | Big Media (En & Fr) | Scoop.it

Big data, well-assembled, can provide a comprehensive picture of a business’ current landscape. It’s the smart business, however, that can manipulate that data and put it to work for them in the future.

The music industry had to smarten up before many other industries. They learned to repurpose an unprecedented amount of customer data to evolve to a changing marketplace, reimagining their marketing strategies. Today, for many businesses, there is much to be learned from the trail those music companies have blazed over the last ten years.

The music industry was one of the first hugely impacted by the Internet, with large-scale file sharing that affected music sales. After several years of fighting this change, the music industry embraced digital music sales—and to use the data produced to offer their customers what they want.

According to Alisa Olander, VP of Strategic Insights and Research at Universal Music Group, the world’s leading record company, data insights have made all the difference in improving marketing efforts:

“Today with big data, marrying both the [quantitative] and qualitative research methods is really key. We collect so much data within a given day and it allows us to have a more intimate look at who our consumers really are, how they are consuming, their affinities and their path of purchase.”

For Olander, the greatest driving force behind change in the music industry is technology because it has affected how people engage, consume, and purchase music.

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Which Types of Ads Do College Students Pay Attention to?

Which Types of Ads Do College Students Pay Attention to? | Big Media (En & Fr) | Scoop.it
Much like the population-at-large, college students pay a considerable amount of attention to recommendations from friends and family. But beyond word-of-mouth, traditional
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Hearst is Building a “Netflix Model” Around Magazine Video Content | Beet.TV

Hearst is Building a “Netflix Model” Around Magazine Video Content | Beet.TV | Big Media (En & Fr) | Scoop.it

Hearst has just launched “Cosmo Body,” a daily fitness show which is advertiser-free and is  being offered on a subscription basis.  This is the first of what will be a number of Hearst titles and Hearst partners who will be part of a new “Netflix model,” explains Chris Grasso, SVP and GM of Hearst Digital Studios, in this video interview with Beet.TV

While the platform is presently free of advertising, the publisher will evaluate a range of  ”native” and brand integration partners.

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Big data et panels : de nouveaux modèles pour Médiamétrie, de nouvelles opportunités pour les médias

Big data et panels : de nouveaux modèles pour Médiamétrie, de nouvelles opportunités pour les médias | Big Media (En & Fr) | Scoop.it

Pas un jour ne passe, sur le Web, sans qu’il soit fait mention de la révolution que constitue l’accès aux «Big Data». Grâce au numérique, on dispose de volumes de données considérables, qu’il faut savoir stocker et traiter.

Quel est l’impact de ce changement de paradigme pour l’industrie de la publicité, du marketing, des médias et des études ? Les modèles d’analyse et de prévision sont-ils vraiment bouleversés ? Lorsque l’on se penche sur la réalité de ce changement technologique, comme a permis de le faire le séminaire organisé par l’IREP le 30 mai 2013, on nuance quelque peu l’ampleur de cette révolution. La seule question qui vaille, comme le signale Philippe Tassi, Directeur Général Adjoint de Médiamétrie et membre du Conseil scientifique de l’IREP, n’est-elle pas de savoir si, ou plutôt à quelles conditions, « bigger » signifie véritablement « better » ?

Le changement de paradigme de la donnée

L’accès à des données exhaustives sur un objet d’étude particulier n’est pas en soi une nouveauté. C’était même la règle qui prévalait jusqu’à la fin du XIXe siècle. Ce n’est qu’en 1895 que, le premier, Anders N. Kiaer, directeur de la Statistique du royaume de Norvège, expose les avantages de l’échantillonnage sur le recensement, à partir du cas de son pays, et en 1925 que la Commission Jensen confirme officiellement le bien-fondé et l’efficacité de cette approche. En 1936, George Gallup, élève du grand théoricien des sondages qu’est Jerzy Neyman, prévoit l’élection de Roosevelt à partir d’un échantillon de 3 000 personnes, à l’encontre de la méthode artisanale dite des « votes de paille ». Par le gain de temps et d’argent qu’il permet, l’échantillonnage s’impose alors comme la méthode de référence statistique du XXe siècle dans tous les domaines d’application.

À la fin du XXe siècle, grâce au numérique, on dispose de bases de données dont la volumétrie était jusque-là inimaginable. Les « Big Data » se présentent ainsi comme un retour possible à une forme d’exhaustivité. Non seulement l’étendue des données recueillies est considérable, mais leur fréquence peut aller jusqu’au temps réel. On observe tout et tout le temps. Les « Big Data » tirent leur intérêt, et la difficulté de leur traitement, de la capacité du numérique à fournir de gros volumes de données en instantané.

Des données enrichies

Il est aujourd’hui possible de connaître, par exemple, le nombre exact de visites d’un site, à chaque instant. Ces données, qui relèvent des « Big Data », ne peuvent néanmoins pas se substituer aux mesures par échantillonnage. Les informations fournies sont différentes, elles se complètent et se précisent l’une l’autre. Les panels apportent des indications très précieuses sur les individus et leurs comportements. Les « Big Data » offrent, quant à elles, des volumes d’informations considérables mais non structurées. Pour la mesure d’audience, réussir à traiter les « Big Data », c’est trouver le modèle qui permette de combiner ces deux types d’informations, pour fournir une mesure plus riche et plus précise.

Médiamétrie a ainsi mis en place de nouvelles mesures, pour l’Internet mobile et pour l’audience d’Internet fixe, tenant compte des apports de l’échantillonnage comme de l’exhaustivité. L’accès aux services Internet via le téléphone mobile prend appui sur l’exploitation des fichiers de logs des opérateurs. Ces données sont qualifiées par le suivi d’un panel de 10 000 personnes pour en enrichir l’analyse. Pour l’Internet fixe, l’approche choisie est celle dite « Panel-up » : c’est l’échantillonnage qui est le socle de la mesure. L’information exhaustive apportée par les « Big Data » est considérée comme une variable auxiliaire, qui permet d’améliorer l’étude. La mesure hybride de type panel-up est, depuis septembre 2012, la référence pour l’Internet fixe en France.

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The Impact of Binge-Viewing [pdf] Interesting study of Annalec

KEY TAKEAWAYS

  •  Binge-viewing is not an atypical behavior – two-thirds (63%) of all TV viewers binge-view frequently, and mostly during prime time
  •  Despite the assumption that binge-viewing primarily occurs through video streaming, bingeing is almost equally split between streaming services (50%) and broadcast/cable TV (43%); platform preference is indicative of one’s generational TV viewing habits

 As bingeing becomes even more widespread, there will surely be impact on video content consumption
via streaming services, as well as through broadcast/cable networks

  •  Binge-viewing leads to program discovery, bringing TV viewers back to real-time TV watching after they have caught up with all episodes (e.g., ‘Breaking Bad’ success)
  •  Despite a conventional wisdom that binge-viewers are avoiding ads, they are not only tolerant of ads, but are even more receptive to them compared to non-bingers

 Binge-viewers are twice as likely than non-bingers to see and share ads on social media, as well as talk about ads with friends and family – marketers could leverage binge-viewers’ engagement with ads and look for cross-marketing opportunities and branded integration efforts with the most popular programs

  •  Binge-viewing behaviors differ by gender – men binge-view by appointment, whereas women are more impulsive, and binge-view because of a need for instant gratification
  •  There is no shame in bingeing – nearly three-quarters of binge-viewers do not feel guilty about their binge-viewing experience, even though they are aware of some negativity that comes with 
  • it, especially as recognized by men

 Binge-viewers enjoy watching TV this way, and plan to continue doing so in the future

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How to drive innovation inside large news organizations - American Press Institute

How to drive innovation inside large news organizations - American Press Institute | Big Media (En & Fr) | Scoop.it
When Quartz, the fast growing global business website from Atlantic Media, announced that it had created a chart building tool to enable reporters to quickly generate visually appealing charts, some of the writers and editors at its sister publications were a bit jealous. Kimberly Lau, the vice president and general manager of The Atlantic Digital, …
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Endemol Beyond CEO: Embrace the Digital Madness : 2nd Screen Society

Endemol Beyond CEO: Embrace the Digital Madness : 2nd Screen Society | Big Media (En & Fr) | Scoop.it

Will Keenan, president of Endemol Beyond USA, who oversees the launch of new digital ventures in the U.S. and is building a network of genre-focused premium channels, looks at what’s happening with content today, and sees “history book stuff.”

“The consumer is now in control,” he said July 6, speaking at the Social TV Summit. “And we have a chance to partner with them, not fight against them. The barbarians are at the gates, and they’re Millennials. Let them in now, collaborate with them.

“Engage or die.”

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WeMOOCs: aplicación de la inteligencia colectiva y la Semántica a los MOOCs | Knowdle + Uned

 Sin duda alguna, los MOOCs, (Massive Open On-line Courses), ha sido un fenómeno emergente dentro de las múltiples herramientas formativas. Desde Knowdle, en colaboración con la UNED, hemos encontrado aplicaciones interesantes de nuestra tecnología. Os recomendamos este paper.

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Recommender Systems - past, present, and future

Recommender Systems - past, present, and future | Big Media (En & Fr) | Scoop.it

Recommender systems are among the most fun and profitable applications of data science in the big data world. Training data (corresponding to the historical search, browse, purchase, and customer feedback patterns of your customers) can be converted into golden opportunities for ROI (i.e.,Return On Innovation and Investment). The predictive analytics tools of data science yield a bonanza of mechanisms to engage your customers and enrich their customer experience. What better loyalty program can there be if not the one that offers the customer what they want before they ask (and sometimes, even before they think of it for themselves). Yes, we know of some cases that have gone bad (such as the secretly pregnant teen and the targeted coupons that Target sent to her father), and we recognize that there is a fine line between being intimate with your customers versus being intimidating, but usually people do like to receive offers for great products that they love. 

A new O’Reilly book (by Ted Dunning and Ellen Friedman) on Practical Machine Learning – Innovations in Recommendation  takes a look at the nuts & bolts, the mechanics and the implementation, and the theory and the practice of recommender engines. They describe the design of a simple recommender using Apache Mahout, based upon the co-occurrence analysis of customers' product purchases.


The book is available as a free download from the MapR website at:http://www.mapr.com/practical-machine-learning.
These are the chapters in the book:
  1. Practical Machine Learning
  2. Careful Simplification
  3. What I Do, Not What I Say
  4. Co-Occurrence and Recommendation
  5. Deploy the Recommender
  6. Example: Music Recommender
  7. Making it Better
  8. Lessons Learned
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What Are People Doing With Second Screens?

What Are People Doing With Second Screens? | Big Media (En & Fr) | Scoop.it

Rob Gelick, Senior Vice President and General Manager of CBS Interactive Digital Platforms, acknowledged that “engagement on the second-screen is now an established behavior for fans” in a recent interview with social TV website LostRemote.

According to a January 2014 survey conducted by the Consumer Electronics Association and National Association of Television Program Executives, 79% of respondents acknowledged that they utilize a second device.
In February 2014, Nielsen released similar findings, in that 84% of viewers utilize tablets and smartphones while sitting in front of the tube.
Telecom market analyst Infonetics Research discovered that 47% of pay-TV providers prefer tablets for multiscreen participation, and it is believed that will increase to around 89% by next year.
So, with all of these audience members regularly using tablets and smartphones, what specifically is capturing their attention on them?
Facebook and Twitter are two bulwarks that interest viewers. Social analytics agency SecondSync found that 60% of Facebook primetime programming interactions occur as a broadcast airs, but from an “intensity standpoint,” Twitter can claim the gold medal. The company learned in their own survey that viewers using Twitter had a 53% TV ad recall, as opposed to 40% who did not use second screens.
Nielsen’s January report revealed that large percentages of second-screen users fall into three main categories: web surfers, online shoppers and show information-seekers.
MEF, an international mobile content community, stated in their February 2014 Global Consumer Insights report which surveyed 10,000 respondents, that 69% of second-screen users made a purchase in 2013.

In TiVo’s 2013 Social Media and Multitasking Survey, 27%, the biggest share of viewers, reported using their devices to “search the Internet for information.”
For advertisers to successfully craft an experience around these behaviors, “a campaign needs to leverage social data, factor in location, and think about context and the emotional state of the consumer,” disclosed Michael Hayes, chief revenue officer and chief marketing officer at mobile advertising firm UberMedia.

Market research business Parks Associates found that 60% of second-screeners use their devices to watch anywhere from 1-5 hours of video per week, and estimate that in-app advertising revenues will be around $5.6 billion by 2017.
PricewaterhouseCoopers further discovered that 69% of users are willing to interact with a relevant mobile ad.

- See more at: http://blog.fyitelevision.com/2014/03/what-are-people-doing-with-second.html#sthash.avIiyON3.dpuf

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Les Jeunes et les Smartphones | Mediametrie

Les Jeunes et les Smartphones | Mediametrie | Big Media (En & Fr) | Scoop.it
Les 15-24 ans, qui représentent près de 12% de la population, sont 7,3 millions en France. La quasi-totalité est internaute et raffole des smart-phones à un point qu’on n’imagine peu communément. Un véritable plébiscite d’après la dernière enquête du Web Observatoire : près de 80% sont équipés.
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Social TV by the numbers in Canada | Seevibes Market Insight

Social TV by the numbers in Canada | Seevibes Market Insight | Big Media (En & Fr) | Scoop.it
Check out where the chatter is online, and which categories and shows are getting the most attention.


  • 65% of Canada’s 3.4 million Twitter users talk about TV on their profiles, while
  • 36% of Canada’s 15 million Facebook users do the same
  • 7 million TV viewers engaged on social media in the first quarter of 2014
  • 57 million interactions (comments, likes, shares, tweets, etc.) were generated in the same quarter
  • 77% of these interactions took place on Facebook, while
  • 23% were on Twitter

 

The social divide

  • 83% of the reality show convo is on Facebook, while
  • 67% of sports talk is on Twitter
  • 162 million impressions are generated each day by fans of The Ellen DeGeneres Show (making it the number one show in terms of impressions tracked by Seevibes)



Read more: http://strategyonline.ca/2014/07/15/social-tv-by-the-numbers/#ixzz38vys25Fd


Via Mattia Nicoletti, Ludovic Bostral
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How to Optimize Your Content Strategy With Social Listening

How to Optimize Your Content Strategy With Social Listening | Big Media (En & Fr) | Scoop.it
Social media monitoriing can do much more than inform your social strategy. Here's how it can also help you optimize your content strategy.


This type of thinking is applicable to almost all businesses. If you understand what your customers are saying, what they need, and how they want to get it, you can craft the right content that meets their needs.

Unfortunately, just publishing great content isn't enough. You must also leverage social listening, content marketing, and SEO to ensure your audience reaches your content. But having an understanding of your audience and what they need is the first step.

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What Are Personalizations Biggest Challenges and Opportunities?

What Are Personalizations Biggest Challenges and Opportunities? | Big Media (En & Fr) | Scoop.it

Personalization is an area of growing importance, recently found to be US digital marketers’ most important future area. Yet research indicates that marketers continue to struggle with it, and many industry respondents have trouble linking data to individual customer profiles. A couple of recent studies – one from Experian Data Quality [download page] and the othercommissioned by Janrain [download page] and conducted by Forrester Consulting – take a closer look at the use of personalization and its associated challenges.

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2014 World Cup: A Global Mobile Perspective

2014 World Cup: A Global Mobile Perspective | Big Media (En & Fr) | Scoop.it

Smartphone-owning soccer fans across the globe expect their mobile devices to take on a pivotal role when it comes to their FIFA World Cup 2014 experience, according to “2014 World Cup: A Global Mobile Perspective,” a landmark international study from IAB. Querying sports enthusiasts from 11 markets – Australia, Brazil, China, Colombia, France, Ireland, Italy, Japan, Mexico and the United Kingdom, as well as the United States – who have smartphones and plan to follow the tournament, the survey reveals that 48 percent overall plan to use their phones to follow the World Cup, second only to TV (63%) when it comes to media channels for keeping up with the game.

Spotlighting a strong opportunity to reach these soccer/football fans through mobile marketing, the research shows that 37 percent are already positively interacting with mobile ads on a daily basis. Moreover, respondents that self-identify as a “football fanatic” – saying that they watch or follow as much soccer as possible, no matter the team, league or country – are even more likely to click on or engage with mobile ads at least once a day (50%).

Signs point to mobile video being a major driver of mobile use, and a potential revenue stream as well, with more than two-thirds (68%) willing to pay for video of game-related content on their phones. In addition, 66 percent expect to share their excitement surrounding the tournament via social media through their smartphones.

The study also demonstrates the importance of dual-screening on television and mobile devices, with 35 percent of fans surveyed anticipating that they will be turning to their mobile phones for game-related activities throughout watching the game on TV.

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6 conseils pour innover (d'après Clayton M. Christensen) | Christophe Rufin

6 conseils pour innover (d'après Clayton M. Christensen) | Christophe Rufin | Big Media (En & Fr) | Scoop.it

Peut-on encore créer des innovations de rupture en France? C'est la question à laquelle Clayton M. Christensen était venu répondre fin juin, à l'occasion d'un cycle de conférences organisé par l'école Polytechnique.

Oui c'est possible, à condition de prendre en compte les 6 points suivants :1. L’innovation s’installe par le bas du marché2. L’innovation transformationnelle est le seul véritable moteur de croissance économique3. Pour introduire une nouvelle technologie, il faut cibler un nouveau marché, pas une substitution de technologies sur un marché existant…4. Pour prédire si une innovation va rencontrer son marché, il faut analyser les tâches que le consommateur final doit accomplir (indépendamment de tout produit ou service existant)5. La mise en place d’une stratégie d’innovation suit un processus structuré6. L’analyse financière est systématiquement biaisée à l'encontre de l’innovation



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Innovation au New York Times, la version française | Nouvelle formule - Lexpress

Innovation au New York Times, la version française | Nouvelle formule - Lexpress | Big Media (En & Fr) | Scoop.it

Il y a quelques semaines, le New York Times a laissé fuiter l’un des documents les plus passionnants de l’année sur la révolution numérique et la difficile mutation du journalisme, des journalistes et des titres qui les font travailler.J’ai déjà dit ici tout ce que nous avions à gagner, à L’Express mais pas seulement, à une lecture attentive des 96 pages de ce rapport. Mes chefs m’ont entendu et commandé une synthèse, de 13 pages et en français, que j’ai enrichie de quelques remarques sur les leçons applicables au journal et au groupe.

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Recommender Systems (Machine Learning Summer School 2014 @ CMU) [slideshare] by Xavier Amatriain, Research/Engineering Manager at Netflix

Slides for my 4 hour tutorial on Recommender Systems at the 2014 Machine Learning School at CMU
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Facebook : ses API médias passent la seconde

Facebook : ses API médias passent la seconde | Big Media (En & Fr) | Scoop.it

Facebook lance une nouvelle version de ses API à destination des médias, en particulier les chaînes de télévision afin de se relancer dans la bataille de la "Social TV" face à Twitter, qui a pris une bonne longueur d’avance.

Le programme Public Content Solutions de Facebook ouvre à un nombre restreint de partenaires revendeurs (dont MassRelevance/Spredfast, Livefyre, Never.no ou Monterosa) l’accès à de précieuses informations sur les sujets les plus cités, "likés"ou partagés chez ses utilisateurs.

Quel responsable de rédaction n’a jamais rêvé de connaître les sujets qui suscitent le plus d’intérêt à l’échelle d’un pays ?

C’est désormais chose possible pour une poignée d’heureux élus dont CNN et NBC qui utilisent déjà quotidiennement à l’antenne ces « what’s trending right now ». L’expression "média social" prenant plus de sens que jamais.

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TV 2020 – Five years that will change TV like never before

Based on Comcast's recent comments that "TV will change more in the next 5 years than it has in the last 50", telcos could rule TV and home entertainement more than ever by 2020. Here’s why. Presented at the Connected TV World Summit, June 2014. #CTVS14
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