Upload
amazon-web-services
View
330
Download
1
Embed Size (px)
Citation preview
© 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Dr. Rick Lu Head, Research and Engineer, PIXNET 2016.05.20
Using Big Data Mining for Business Intelligent and Analysis in PIXNET
Outline
• About PIXNET: The dominant BSP in Taiwan • Impact from “Big Data” Era • BI Model: Collection, Analysis, and Prediction • Why AWS ? • Q&A
About PIXNET
Alexa Ranking #1 (Taiwan) #76 (Global)
Registered Members 5M
Daily Unique Visitors 7.7 M
Mobile TrafGic 52%
Number of Blogs XXX M
Number of Albums XXX M
About PIXNET Services • Blog Service Platform (BSP) • PIXinsight (Big Data Service) • AD Network ( ) • Business Model • Advertisement (Banner, Event sites) • B.I. insight report • AD Network
Impact of Big Data Era Q1: How many articles about “me” in PIXNET ? Q2: Are these articles, Positive or Negative ? Q3: How many visitors regarding on the articles ? Q4: Any profile briefing on the visitors ? Q5: Any marketing strategy providing ? …………………………
社群 會員
MIB AD Sys. Smart Ranking Content Marketing
Big Data Mining
具有會員功能 之社群機制
20162014 ~ 2015Future Plan in PIXNET
Possible System Framework
8Article
Tag User Tag
Access Log
Article Indexing
Keyword Relation
Database
Custom Report
UI
User Tagging Rule Define
UI
User Tagging Engine
Tag Retrieval API
Rule Base Tagging Engine
Report Engine
Article Tagging Engine
廣告系統
商品投遞系統
文章推薦系統 投放規則 設定 UI
營運人員 PM
PIXI
NSI
GH
T
外部電商 推薦系統
Public API
推薦系統
Cloud Solution: using AWS
RMDB, S3, EC2: • Easy-Scaling UP/Down • Acceptable Pricing
Redshift: (from Oregon to Tokyo) • millions of blogs & billions user logs • Easy Analysis for Research Scientist
Summary: Big Data in PIXNET Infrastructure
• Efficiency, Scalability!! (Thank you very much, Amazon) • Convenient platform required!!
Text Mining • Opinion Mining for Positive and Negative Done • Spam article detection Done, Accuracy 90% (Patent)
Social Analysis • Spam Authors identification Done, Accuracy 81% (Patent)
Visitors Profile Estimation • Gender estimation Done, Accuracy 79.2% (Patent) • Age Done, Accuracy 68.3% (Patent) • Reading Intent (working) • …
15