Real-Time Searching of Big Data with Solr and Hadoop. Google world. La recherche à facettes (ou recherche facettée) : bénéfices. La recherche par facettes (en anglais: faceted search), également appelée ‘navigation à facettes’, est un moyen d’accéder rapidement à l’information via une catégorisation dynamique et combinatoire. Ce système permet d’identifier une information selon différents critères de recherche. Il s’oppose au principe de classification hiérarchique, unique, obéissant à une taxonomie prédéfinie. La recherche à facettes, une fusion entre navigation et recherche Historiquement, le Web proposait deux modes de recherche: L’un consistait à la recherche par navigation au sein de répertoires dont l’organisation relevait de l’indexation humaine.
Si la recherche directe a indéniablement pris le pas sur la navigation, la recherche à facettes offre une approche idéale combinant navigation et recherche directe. Un système souple, offrant un équilibre entre taxonomie et folksonomie La force de la recherche par facettes réside principalement dans sa flexibilité, son ergonomie et sa grande pertinence. New Research Finds the Curation vs Creation Sweet Spot | social media measurement.
Whether you’re on a first date, meeting new people at a dinner party, or making it rain on Twitter, it’s just not a good idea to go on and on about yourself. It’s just awkward. Conventional social media marketing wisdom suggests that brands should avoid being overly self-promotional. Thus, brands seek to “be a part of the conversation” by sharing links that are relevant to their followers but often not specifically about their products and services. This act of finding good content and sharing it is known as content curation. Contrast this with another nugget of conventional social media marketing wisdom: that “content is king” – that the best thing that a social media marketer can do is create content that people find valuable enough to share with the world.
But…isn’t promoting your own content akin to talking about yourself? And isn’t that rude, and thus ineffective? This creation-vs-curation paradox inspired me to look for some answers in the data. Analyzing 150,000 Social Media Posts. Managing Creative Arts Research Data. Image credit DSC04158.JPG / Mark Ordonez / CC BY-SA 2.0 Unit 1 provides a broad overview of research data management for creative arts researchers. Definitions are offered and a case for effective data management is made. Common threats to research data are then examined, before presentation of an arts data workflow.
By the end of this unit you should be able to: #1Appreciate some of the challenges involved when evidencing art as research#2Identify types of user likely to access your research data#3Understand the most significant threats to your research data#4Recognise some of the benefits of retaining research data in a usable form Previous || Next. Curador de contenidos. Humans vs machines: Aggregation vs curation. Curation is becoming an increasingly important term and for good reason: the online world is increasingly messy, muddled and full of blind alleys.
Search used to be the best way to navigate online but today it is only one part of an Internet user’s dashboard. Finding things is fine if you know what to look for, but search is increasingly less effective in judging the quality of links, or putting those links into a context. Blekko, the recently launched search engine tries to provide a context for search terms but it’s still not curation but aggregation So what is curation? Here is my definition: Curation is a person or persons, engaged in the act of choosing and presenting things related to a specific topic and context. An example of curation: the San Francisco De Young museums is exhibiting post-impressionist masterpieces from the Musée d’Orsay’s permanent collection. Aggregation is the collection of as many things that can be found related to a topic. - Pearltrees is dynamic. Web 2.0 Expo NY: Clay Shirky (shirky.com) It's Not Information Overload. It's Filter Failure. La recherche en temps réel nous transforme tous en éditeurs de contenus | Moteurs de recherche | Orénoque interactif, Montréal.
20+ stats you might not know about user search behaviour. One of the major trends explored in Econsultany’s new SEO Agencies Buyer’s Guide is that user search behaviour is changing. In this industry, there’s no shortage of information around how and why marketers are using SEO, but to me, there seems to be a distinct lack of research which looks from the other side of the fence at how we use search as internet users. Best practice is extremely important, but so is understanding how people are actually using search engines. So I jumped at the chance to check out some recent research out by Performics and ROI Research, where they had surveyed people’s motivations and behaviour when using search engines. The data is US-based, but in my opinion reflect trends that are globally applicable. Natural search vs. When asked if they know the difference between natural and paid search results... 63% said Yes37% said No The age demographics of those who did know the difference between natural and paid search results...
Natural results: Paid results: “Curation is the new search”… et le nouveau média.