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King Hippo

10-What is Web 3.0? Semantic Web & other Web 3.0 Concepts Explained in Plain English - 1 views

  • Web 3.0 – This will be about semantic web (or the meaning of data), personalization (e.g. iGoogle), intelligent search and behavioral advertising among other things.
    • King Hippo
       
      Web 3.0 : this will be about semantic web (or meaning of data).
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    de delicious les concepts du web 3.0
carolinebcourcy

Les canaux réellement efficaces pour acquérir de nouveaux clients - JDN Média - 0 views

  • interagir avec une marque, jusqu’à acheter,
    • carolinebcourcy
       
      Une façon d'établir une relation avec le client potentiel et de le fidéliser à la marque
  • Outre un pic dans les recherches de la marque au moment des spots, la pub télé n’a pas montré de résultats à la hauteur de ses coûts : faut-il la couper ?
    • carolinebcourcy
       
      La fin du marketing traditionnel? Certainement pas! Les experts en marketing et communications recommandent plutôt une balance entre les nouveaux médias et les traditionnels pour une stratégie englobante.
  • analytics
    • carolinebcourcy
       
      L'importance de l'analyse des résultats n'est pas négligeable
  • ...2 more annotations...
  • valoriser l’impact d’un clic
  • 'optimiser votre ROI en analysant les apports transversaux de chaque canal,
    • carolinebcourcy
       
      Stratégie transversale multi-plateformes
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    La communication de masse n'existe plus à l'ère du 2.0. Désormais, grâce au forage de données (data mining) il est possible pour les marques de cibler leur clientèle. Toutefois, ces nouvelles plateformes doivent faire partie d'une stratégie de communication intégrée pour avoir ses effets - on allie donc les forces des médias traditionnels avec les nouveaux médias.
anonymous

Facebook executive: advertisers need to control consumer data | Media | guardian.co.uk - 0 views

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    Article intéressant faisant suite au précédent article partagé. Mark D'Arcy indique que les entreprises et publicitaires doivent, comme les côtes Nielson, changer la manière de calculer la popularité d'une campagne. Ils doivent trouver des manières de calculer la popularité au travers des plateformes de médias sociaux.
guylaine 1111

Réseaux Sociaux Entreprise (RSE) | Scoop.it - 0 views

  • From pro.01net.com - Today, 1:31 AM 01net Les réseaux sociaux d'entreprise : une aide à la recherche d'expertise 01net Par leur mode même de fonctionnement, les réseaux sociaux sont une réponse à la détection des expertises dans une entreprise. Comment 0
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    Tendance
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    Je suis d'avis que l'on exploite encore bien peu les outils du web social... je suis a#la#recherche d'exemples concrets d'applications organisationnelles et sociales...
quebewise

Comment utiliser les Big Data pour créer la meilleure série télé possible - T... - 0 views

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    Comment Amazon et Netflix utilisent les sciences de données pour créer des séries télé en fonction de la demande observé dans les masses de données. C'est ainsi que les séries comme House of Cards et Alpha House ont été crées.
dumontjose

Analytics and Predictive Models for Social Media - 0 views

  • Analytics & Predictive Models for Social Media
  • Part 1: Information flow in social media (slides) Collecting social media data Extracting and tracking the flow of relevant information Correcting for the effects of missing and incomplete data Predicting and modeling the flow of information Identifying networks of information flow Part 2: Rich user interactions (slides) Predicting and recommending links in network Modeling tie strenght Modeling trust and distrust, frieds and foes How users evaluate one another and the social media content
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    Tutoriel intéressant de l'université Stanford sur les modèles prédictifs pour les médias sociaux
Louisette Leduc

Le chief data officer : le nouveau Monsieur ROI ? - 0 views

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    Émergence d'un nouveau métier: CDO = Celui qui peut mesurer la réalité et permet de prendre des décisions fondées sur des faits et non plus seulement sur des intuitions.
Cesar Villamizar

Profiling Social Networks: A Social Tagging Perspective - 0 views

  • Abstract The web is rapidly becoming both more open and more social through the provision of technologies that make it easier for end users to access resources and join in social networks. Social networks have pioneered online communities, allowing users to contribute to collective knowledge by tagging online resources. Tagging behavior increased dramatically between 2005 and 2007. This article reports on an investigation of social tagging using data gathered from Delicious, Flickr and YouTube for the years 2005, 2006 and 2007. Preliminary findings indicate both that it is possible to profile a social network through the analysis of tagging data and that Delicious is a more representative venue for analyzing the social tagging behavior of users than either Flickr or YouTube.
Cesar Villamizar

Réseau social et Big Data - 1 views

  • Les réseaux sociaux d’entreprise n’ont pas tenu leurs promesses de performance, de transversalité ou d’intelligence collective. 20% seulement des projets ont produit des résultats mesurables et positifs !
dmecool

Le Big Data géospatial au service des smart cities - 1 views

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    Interessant!
Véronique Lavergne

iPad Dominates Third Quarter Tablet Shipments, Almost 90% of Market - 0 views

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    Audrey Watters présente les principales conclusions d'un rapport de l'International Data Corporation (IDC) concernant le marché des liseuses de livres numériques.
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    Most quality online stores. Know whether you are a trusted online retailer in the world. Whatever we can buy very good quality. and do not hesitate. Everything is very high quality. Including clothes, accessories, bags, cups. Highly recommended. This is one of the trusted online store in the world. View now www.retrostyler.com
anonymous

Folksonomies - Cooperative Classification and Communication Through Shared Metadata - 3 views

  • Metadata is often characterized as “data about data.” Metadata is information, often highly structured, about documents, books, articles, photographs, or other items that is designed to support specific functions. These functions are usually to facilitate some organization and access of information. Administrative, structural, and descriptive metadata are three broad categories of metadata (Taylor, 2004).
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    Classification
  • ...1 more comment...
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    Partager l'information c'est généreux.
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    Un papier intéressant sur la classification et le partage des métadonnées. On peut en autre y trouver une explication simple sur la limitation des TAGs
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    How folskdata can be compared to metadata
mabeltv

Facebook bug affected 14 million people's privacy settings - 0 views

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    "The advertising giant wants you to believe that you're in control of what data you share, and who you share it with. We know that's mostly an illusion built upon conflating the photos you upload with the information the company collects on you. And now, for approximately 14 million people, even that illusion has been shattered.  "
anonymous

Shirky: Ontology is Overrated -- Categories, Links, and Tags - 1 views

  • I want to convince you that many of the ways we're attempting to apply categorization to the electronic world are actually a bad fit, because we've adopted habits of mind that are left over from earlier strategies.
    • Caro Mailloux
       
      need of novelty
  • because it is both widely used and badly overrated in terms of its value in the digital world.
  • ...25 more annotations...
  • Yahoo is saying "We understand better than you how the world is organized, because we are trained professionals. So if you mistakenly think that Books and Literature are entertainment, we'll put a little flag up so we can set you right, but to see those links, you have to 'go' to where they 'are'."
  • You don't have to have just a few links, you could have a whole lot of links.
  • A URL can only appear in three places. That's the Yahoo rule.
  • They missed the end of this progression, which is that, if you've got enough links, you don't need the hierarchy anymore. There is no shelf. There is no file system. The links alone are enough.
  • One reason Google was adopted so quickly when it came along is that Google understood there is no shelf, and that there is no file system. Google can decide what goes with what after hearing from the user, rather than trying to predict in advance what it is you need to know.
    • Caro Mailloux
       
      Laisser les usagers se faire leur langage et le tagger à leur façon puis, en tant que Google, prendre cette info et l'utiliser pour créer une ''taxonomie''.
  • "Well, that's going to be a useful category, we should encode that in advance."
  • They point to the signal loss from the fact that users, although they use these three different labels, are talking about the same thing.
  • You can also turn that list around. You can say "Here are some characteristics where ontological classification doesn't work well": Domain Large corpus No formal categories Unstable entities Unrestricted entities No clear edges Participants Uncoordinated users Amateur users Naive catalogers No Authority
  • The other big problem is that predicting the future turns out to be hard, and yet any classification system meant to be stable over time puts the categorizer in the position of fortune teller.
    • Caro Mailloux
       
      ne pas prévoir d'avance
  • Here is del.icio.us, Joshua Shachter's social bookmarking service. It's for people who are keeping track of their URLs for themselves, but who are willing to share globally a view of what they're doing, creating an aggregate view of all users' bookmarks, as well as a personal view for each user.
    • Caro Mailloux
       
      chouette description concrète de l'utilisation de del.icio.us!
  • " If you find a way to make it valuable to individuals to tag their stuff, you'll generate a lot more data about any given object than if you pay a professional to tag it once and only once.
    • Caro Mailloux
       
      utilité du tagging
  • Tags are simply labels for URLs, selected to help the user in later retrieval of those URLs. Tags have the additional effect of grouping related URLs together. There is no fixed set of categories or officially approved choices. You can use words, acronyms, numbers, whatever makes sense to you, without regard for anyone else's needs, interests, or requirements.
    • Caro Mailloux
       
      Chouette description de ''Tags''.
  • The chart shows a great variability in tagging strategies among the various users.
  • But this is what organization looks like when you turn it over to the users -- many different strategies, each of which works in its own context, but which can also be merged.
  • We are moving away from binary categorization -- books either are or are not entertainment
  • But they either had no way of reflecting that debate or they decided not to expose it to the users. What instead happened was it became an all-or-nothing categorization, "This is entertainment, this is not entertainment." We're moving away from that sort of absolute declaration, and towards being able to roll up this kind of value by observing how people handle it in practice.
  • What you do instead is you try to find ways that the individual sense-making can roll up to something which is of value in aggregate, but you do it without an ontological goal.
  • you believe that we make sense of the world, if we are, from a bunch of different points of view, applying some kind of sense to the world
    • Caro Mailloux
       
      ''we make sens of the world together thru what's worth aggregating'' = not ontology 
  • we're going to be able to build alternate organizational systems, systems that, like the Web itself, do a better job of letting individuals create value for one another, often without realizing it.
  • If you think the movies and cinema people were going to have a fight, wait til you get the queer politics and homosexual agenda people in the same room.
    • Marie-Noëlle Therrien
       
      ¸Bel exemple pour démontrer la problématique.
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    Un article de Clay Shirky qui nous donne son analyse de l'Ontologie, un point de vue intéressant sur les différentes façons de classer l'information sur le Web.
Nicolas Boulet-Lavoie

Plus de 50 livres gratuits sur la science des données. - 3 views

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    Plus de 50 livres électroniques, pour la plupart gratuit, sur le data science! En fouillant sur , j'ai également trouvé un autre lien pointant vers des livres qui survivent à l'épreuve du temps! De véritables références.
rosemaliza5

Apple and Google to Team Up on Data Sharing to Help Contain COVID-19 - The Pros and Con... - 0 views

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    Health authorities will then be able to develop apps that can trace which users have been in close contact with others hum hum I don't know how I fell about this one
anonymous

How Watson is Helping More Puppies Become Guiding Eyes for the Blind - THINK Blog - 2 views

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    Comment le super ordinateur Watson de IBM peut aider à l'aide du 'big data' et de l'analytique à déterminer si un chien a les aptitudes pour devenir chien guide pour les aveugles!
Valerie Normand

Facebook and What's App fine for datasharing - 0 views

  • A long-running investigation in the European Union focused on the transparency of data-sharing between Facebook and WhatsApp has taken the first major step towards a resolution. Ireland’s Data Protection Commission (DPC) confirmed Saturday it sent a draft decision to fellow EU DPAs towards the back end of last year.
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    Personal information illegal sharing
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