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2 thg 4, 2013

Design Knowledge - Something I have never known

Who can say design is not significant in the modern world?
Sometimes, I hear about Design and its impact on the usability and the beauty of things. However, there  is no opportunity for me to dig in deep the designers' world. Fortunately, I read an article from procul.org/blog which discusses about how should the toilet be designed. According to that, I obtained several books for training the design aspect myself (i.e autodidacticism). They are:

  1. The Design of Everyday Things by Donald A. Norman for general topic
  2. Don't Make Me Think by Steve Krug for web design
  3. Designing the Obvious: A Common Sense Approach to Web & Mobile Application Design 
I hope that they will be covered as soon. Definitely that!

15 thg 3, 2013

Recommender system experts

Following experts in our own research domain is always helpful, for all. In my own study field, I am pursuing  many 'super man'. In this post, I glad to introduce Xavier Amatriain, a spanish whom are working for Netflix in USA.
Very surprisedly, he is a former member of Telefonica Research Center where I ever had idea applying for summer internship. This is his blog. His articles are very useful for me, and maybe, for all of whom likes me. So far, his position at Netflix is Recommender System Team's Leader.

By the way, I want to show another person who also has strong experience in Data Mining in Vietnamese. Why do I reveal him in the same post with Xavier? Very simple, I found him from Xavier's blog, LOL =]]. He is a researcher at Deakin University, Australia who developed the tool that named Vietnamese Article Classifier. You can see his profile at here.



7 thg 3, 2013

Web And Mobile Revenue Models



Let learn how to monetize! 

Advertising
  • Display Ads - ex. Yahoo!
  • Search Ads - ex. Google
  • Text Ads - ex. Google
  • Video Ads - ex. Hulu
  • Audio Ads - ex. Pandora
  • Promoted Content - ex. Twitter, Tumblr
  • Paid content links - ex. Outbrain
  • Recruitment Ads - ex. LinkedIn
  • Lead Generation - ex. MoneySuperMarket, ZocDoc
  • Affiliate Fees - ex. Amazon Affiliate Program
  • Classifieds - ex. Craiglist
  • Featured listings - e.g. Yelp, Super Pages;
  • Email Ads - as done by Yahoo, MSN
  • Ad Retargeting - ex. Criteo 
  • Real-time Intent Ad Delivery
  • Location-based offers - ex/ Foursquare
  • Sponsorships / Site Takeovers -  ex. Pandora


Commerce
  • Retailing - ex. Zappos
  • Marketplace - ex. Etsy
  • Crowdsourced Marketplace - ex. Threadless
  • Excess Capacity Markets - Uber, AirBnB
  • Vertically Integrated Commerce - ex. Warby Parker
  • Aggregator - ex. Lastminute.com
  • Flash Sales:  Gilt Groupe, Vente Privee
  • Group buying - ex. Groupon
  • Digital goods / downloads - ex. iTunes
  • Virtual goods - ex. Zynga
  • Training - ex. Cloudera (??), -> Coursera
  • Pay what you want - ex. Radiohead
  • Commission - ex. SharesPost
  • Commission per order - ex. Seamless, GrubHub
  • Auction - ex. eBay
  • Reverse Auction - ex Priceline
  • Barter for services ex. SwapRight

Subscription
  • Software as a Service (SAAS) - ex. Salesforce
  • Service as a Service - ex. Shopify
  • Content as a Service - ex: Spotify, Netflix
  • Infrastructure/Platform As A Service - ex. AWS
  • Freemium SAAS - ex. Dropbox
  • Donations - ex. Wikipedia
  • Sampling - ex Birchbox
  • Membership Services - ex Amazon Prime
  • Support and Maintenance - ex 10gen, Red Hat
  • Paywall ex. NYTimes
  • Voice and video-conferencing - ex. Uberconference

Peer to Peer
  • Peer-to-Peer Lending - ex. Lending Club,
  • Peer-to-Peer Gambling - ex. BetFair
  • Peer-to-peer buying - ex Etsy
  • Peer-to-peer insurance/home/car - ex (??)
  • Peer-to-peer computing (CrasPlan storage, or SETI@home)
  • Peer-to-peer service - ex. Mechanical Turk, TaskRabbit
  • Peer-to-peer Mobile WiFi/Tethering - ex (??)

Transaction processing
  • Merchant Acquiring - ex. PayPal (Online / Offline)Stripe (Online), Square (Offline)
  • Intermediary - ex. IP Commerce (POS 2.0), CardSpring
  • Acquiring Processing - ex. Paymentech
  • Bank Transfer - ex. Dwolla
  • Bank Depository Offering - ex. Simple, Movenbank (spread on average deposits)
  • Bank Card Issuance - ex. Simple (interchange fee per transaction)
  • Fullfilment - ex. Amazon
  • Messaging - ex. Peer-to-Peer SMS, IM, Group Messaging
  • Telephony - ex. termination/origination in public telephony networks (skype out/in)
  • Telephony - ex. termination/origination within private telephony cloud (e.g. native skype)
  • Payment Gateways: Mobile -ex. Braintree
  • Platform Monetization ("Tax") - Facebook Credits; iO6 30% cut.

Licensing
  • Per Seat License - ex. Sencha
  • Per Device/Server License - ex. QlikView
  • Per Application instance - ex. Adobe Photoshop
  • Per Site License - ex. Private cloud on internal infrastructure
  • Patent Licensing - ex. Qualcomm
  • Brand Licensing - ex. Sesame Street
  • Indirect Licensing - ex. Apple Volume Purchasing

Data
  • User data - ex. BlueKai
  • Business data - ex. Duedil
  • User intelligence - ex. Yougov
  • Search Data - ex. Chango
  • Real-time Consumer Intent Data - ex. Yieldbot
  • Benchmarking services - ex. Comscore
  • Market research - ex. GLG

Mobile
  • Paid App Downloads - ex. WhatsApp
  • In-app purchases - ex. Zynga Poker
  • In-app subscriptions - ex. NY Times app
  • Advertising - ex. Flurry, AdMob
  • Digital-to-physical - ex. Red Stamp, Postagram
  • Transactions - ex Hailo

Gaming
  • Freemium - Free to play w/ virtual currency - ex. Zynga
  • Subscription-  ex. World of Warcraft
  • Premium - ex. xBox games
  • DLC - (Downloadable Content)  - ex. Call of Duty
  • Ad Supported - ex - addictinggames.co

(Source : https://hackpad.com/Web-And-Mobile-Revenue-Models-(final)-EgXuEtSibE7)

18 thg 1, 2013

Film Services and their recommendation feature

Besides smartphone, smart TV is also a hot trend today and in the near future. User can play game, listen to music, surf the internet, comment on their facebook and, also watch film or video.

Film service for TV is novel domain which has just started for 5 years. For any film provider, the number of film retention is target. Film recommendation is the way to improve this number. It is mentioned that Netflix and Hulu after are two honest film providers that published recommendation research for film. All of them use metadata as primary attributes to decide what film for recommending.

For evaluating a recommendation system, this post may useful.

7 thg 1, 2013

News aggregator, more and more

A lot of news channels are the first reason for a news aggregator service being launched! Certainly, human race don't want to update from only one source. And they also want to get new information in many categories. For instance, you love football and of course, you want to track the score of Sunday matches. You love technology, keep tracking on Techcrunch, Mashable. You're in passion for software development, keep up with MindShift or Hacker News. A news aggregator, therefore,  is built to keep all sources (customisable) in one. This article tries to survey how many news aggregators was launched and how did aggregator trend develop. 

I list some news aggregators (without ranking)

4 thg 1, 2013

Resource for iOS Development

(This post will always update when I get new info)

In fact, no one can deny the mobile trend. In the below figure, it shows you the mobile market size which is made at the end 2012.

Mobile market size
(through http://www.digitallabblogasia.com/?attachment_id=901)
1.08 billion smartphones! What? 1.08 billion! And in the below infographics, it reveals the total app downloads of 4 big platforms: Android, iOS, Blackberry and Window Phone. We can recognize easily that iOS platform (was developed by Apple Inc. ) is leading in app market with 30 billions downloads.
Total app downloads. 30 billions downloads for Apple's app (Q2/2012)
( through http://www.mobilestatistics.com/mobile-statistics)
So, this post will discuss iOS development. More details, it will present the useful resources for anyone who want to begin with iOS platform. This post will attempt to  cover as much as possible necessary knowledge for making iOS app.

We should divide into 4 sections: resource for beginner, advanced resource, how to make money with iOS app, marketing strategy.
Let's start!
  1. Beginner
    1. Mobile tutsplus is the great site for newbie. All of tutorials are step by step clearly. It also focuses on mobile design, mobile marketing strategy.
  2. Advance resource
  3. How to make money
    1. http://www.placeplay.com/how-to-make-money-with-apps-1/ (must review after) 
  4. Design (UI & UX)
    1. Mobile Usability by Jakob Nielsen. This book is very up-to-date and cover abundance of usability knowledge http://www.amazon.com/Mobile-Usability-Jakob-Nielsen/dp/0321884485
    2. Human Interface Guidelines by Apple (http://developer.apple.com/library/ios/documentation/userexperience/conceptual/mobilehig/MobileHIG.pdf)
    3. Smashing's Documents (http://www.smashingmagazine.com/2010/11/03/ebook-4-mobile-design-for-iphone-and-ipad/)
    4. Brian Fling's slide (http://www.slideshare.net/fling/mobile-20-design-develop-for-the-iphone-and-beyond)
  5. Marketing Strategy





Thanks for reading!

3 thg 1, 2013

Resource for Big Data

(This post will always update when I get new info)

Recently, We were heard the phrase 'Big Data' a lots, a lots, a lots! Everywhere, 'Big Data' was appeared : Computer Science Journals , Computer Science Conferences, Technology Journals, Technology Conferences, Technology articles, Famous Blog articles, Startup Conferences, Startup Blog, so on and so on. So, I am a junior Developer in Data Mining. Therefore, Big Data is also my research domain. In this post, I show the resources for learning or working with Big Data.

We will have three types: Blog, Company site and Github repository.

1. Blog
1.1 Machine Learning Guru's Blog
1.1.1 Prof. Larry Wasserman's Blog
Prof. Larry is professor in the Department  of Statistics/Machine Learning  in Carnegie Mellon University. He shares his research, the trending  of Big Data, Machine Learning, Statistics and others. His blog was considered as the best Machine Learning Blog by Nguyen Xuan Long, the primary blogger at http://procul.org/blog .


2. Company Site
2.1 Cloudera Inc.
Cloudera's CTO is Apache Hadoop's author, Doug Cutting. Cloudera develops Hadoop-based software for business purposes. All of their softwares are open source! So great!



3. Github


In addition, you can use Quora to update Big Data news.  I usually use it to get useful information about Big Data/Data Mining and others.
Thanks for reading!