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.

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)