Skip to main content

Home/ VirgoLab/ Group items tagged marketing

Rss Feed Group items tagged

Filter: All | Bookmarks | Topics Simple Middle
Roger Chen

Seth's Blog: Five easy pieces - 0 views

sethgodin.typepad.com/...five-easy-piece.html

marketing reading thinking

shared by Roger Chen on 26 Jun 08 - Cached
  • Roger Chen on 26 Jun 08
     
    You really don't understand a concept until you know what it's made of. The taxonomy of marketing (filled with a bazillion tactics) is murky at best. The tactics are so numerous, expensive and sometimes emotional that we easily focus on the urgent instead of the important. Perhaps we could try a different approach:
Roger Chen

Leigh's Blitherings: Have We Crossed The Chasm? - 0 views

leighhimel.blogspot.com/...have-we-crossed-chasm.html

internetwatch

shared by Roger Chen on 06 May 08 - Cached
  • Geoffrey Moore wrote Crossing the Chasm over 15 years ago and it's still probably the foremost framework used for launching new technology products.
  • Moore's key insight is that the groups adopt innovations for different reasons. Early adopters are technology enthusiasts looking for a radical shift, where the early majority want a "productivity improvement
  • One of the key foundations of the model is how they define usage by groups which brings a key question to the forefront of our current marketing reality. Has the definition of an early adopter changed?
  • ...2 more annotations...
  • The way I have come to see the chasm: there's ALWAYS a chasm.
  • I agree that there is and will always be a chasm. However, I guess the real question in my mind is, is it a marketing chasm (or awareness/usage chasm) or is it a technology adoption chasm.
Roger Chen

Key difference between Web 1.0 and Web 2.0 - 0 views

www.uic.edu/...1972

internetwatch research web2.0

shared by Roger Chen on 27 Jun 08 - Cached
  • Roger Chen on 27 Jun 08
     
    Web 2.0 is a buzzword introduced in 2003-04 which is commonly used to encompass various novel phenomena on the World Wide Web. Although largely a marketing term, some of the key attributes associated with Web 2.0 include the growth of social networks, bi-directional communication, various 'glue' technologies, and significant diversity in content types. We are not aware of a technical comparison between Web 1.0 and 2.0. While most of Web 2.0 runs on the same substrate as 1.0, there are some key differences. We capture those differences and their implications for technical work in this paper. Our goal is to identify the primary differences leading to the properties of interest in 2.0 to be characterized. We identify novel challenges due to the different structures of Web 2.0 sites, richer methods of user interaction, new technologies, and fundamentally different philosophy. Although a significant amount of past work can be reapplied, some critical thinking is needed for the networking community to analyze the challenges of this new and rapidly evolving environment.
Roger Chen

SocialMedia to unveil 'friendship ranks' | Tech news blog - CNET News.com - 0 views

news.cnet.com/8301-10784_3-9974220-7.html

internetwatch social media

shared by Roger Chen on 24 Jun 08 - Cached
  • Goldstein is expected to announce "social banners," or display ads that turn you or your friends into the hook of a marketing message. In tandem, SocialMedia will announce that it's developed a patent-pending algorithm called FriendRank to power those social banners. It's like Google's PageRank, but instead of ranking pages for their popularity, it ranks friendships.
Roger Chen

Datawocky: Are Machine-Learned Models Prone to Catastrophic Errors? - 0 views

anand.typepad.com/...an-machine-learned-models.html

data mining google

shared by Roger Chen on 11 Jun 08 - Cached
  • Taleb makes a convincing case that most real-world phenomena we care about actually inhabit Extremistan rather than Mediocristan. In these cases, you can make quite a fool of yourself by assuming that the future looks like the past.
  • The current generation of machine learning algorithms can work well in Mediocristan but not in Extremistan.
  • It has long been known that Google's search algorithm actually works at 2 levels: An offline phase that extracts "signals" from a massive web crawl and usage data. An example of such a signal is page rank. These computations need to be done offline because they analyze massive amounts of data and are time-consuming. Because these signals are extracted offline, and not in response to user queries, these signals are necessarily query-independent. You can think of them tags on the documents in the index. There are about 200 such signals. An online phase, in response to a user query. A subset of documents is identified based on the presence of the user's keywords. Then, these documents are ranked by a very fast algorithm that combines the 200 signals in-memory using a proprietary formula.
  • ...2 more annotations...
  • This raises a fundamental philosophical question. If Google is unwilling to trust machine-learned models for ranking search results, can we ever trust such models for more critical things, such as flying an airplane, driving a car, or algorithmic stock market trading? All machine learning models assume that the situations they encounter in use will be similar to their training data. This, however, exposes them to the well-known problem of induction in logic.
  • My hunch is that humans have evolved to use decision-making methods that are less likely blow up on unforeseen events (although not always, as the mortgage crisis shows)
Roger Chen

Geeking with Greg: Kai-Fu Lee keynote at SIGIR - 0 views

glinden.blogspot.com/...i-fu-lee-keynote-at-sigir.html

china internetwatch.china

shared by Roger Chen on 22 Jul 08 - Cached
  • Google China was optimized for finding the one site you need to go to, as it is elsewhere, but, Kai-Fu said, according to eyetracking studies and log data, Chinese users tend to be much less task-oriented, read much more of the page, and click many more links than US users.
  • One curious question that Kai-Fu raised was whether these preferences will remain true over time. Expert internet users tend to be more task-oriented than novice users. Google China has had much more success in gaining market share in China among expert users
  • Roger Chen on 22 Jul 08
     
    Googler Kai-Fu Lee gave a keynote at SIGIR 2008 on "The Google China Experience".
1 - 8 of 8
Showing 20▼ items per page