SlideShare une entreprise Scribd logo
1  sur  34
Tye Rattenbury, Nathan Good, Mor Naaman* Yahoo! Research Berkeley (Yahoo! Advanced Development Division) Towards Automatic Extraction of Event and Place Semantics from Flickr Tags
This Talk is Not About Photos ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Find the Differences “ Yahoo! Headquarters” “ Dog” “ SIGIR 2007”
Data Description
Simple Model (photo_id, user_id, time,  latitude, longitude) (photo_id, tag)
Information? ,[object Object]
Tag Maps - San Francisco
Tag-based Semantics ,[object Object],[object Object],[object Object]
Tag Semantics: Why? ,[object Object],[object Object],[object Object],[object Object],[object Object]
Next Few Minutes ,[object Object],[object Object],[object Object]
Extended Model (photo_id, user_id, time,  latitude, longitude) (photo_id, tag) (tag, location) (tag, time)
Tag Patterns
Tag Patterns
Tag Patterns
Definitions ,[object Object],[object Object]
Problem Definition ,[object Object]
Fundamental Issues ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Proposed Solutions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Next Few Minutes ,[object Object],[object Object],[object Object]
Naïve Scan
Spatial Scan
Issues ,[object Object]
Scale-structure Identification ,[object Object],[object Object],[object Object],[object Object],[object Object]
Scale-structure Identification
Scale-structure Identification Entropy = 1.421621 Entropy = 0.766263 Entropy = 0.555915 Entropy = 0.062760 “Barry Bonds” tag
San Francisco Experiments ,[object Object],[object Object],San Francisco Dataset: 42,000 Photos 800+ popular tags
Experiments byobw Ground Truth: BYOBW?
Experiments ,[object Object],[object Object],[object Object]
The Obligatory Slide Where I Show You that Our Curve is Above the Other Curves
Experiments
Future Work ,[object Object],[object Object],[object Object],[object Object],[object Object]
Questions? ,[object Object],[object Object],[object Object],[object Object],[object Object]
Tag Maps - Paris - Les Blogs?
Issues ,[object Object],[object Object],[object Object],[object Object],[object Object],Whatever, color, city, spectrum, santa barbara, california, usa, Lookatme, Herbert Bayer Chromatic Gate

Contenu connexe

Similaire à Extracting event and place semantics from Flickr tags

CIKM Tutorial 2008
CIKM Tutorial 2008CIKM Tutorial 2008
CIKM Tutorial 2008
Peiling Wang
 
Lecture-1-Introduction-to-Data-Mining.pdf
Lecture-1-Introduction-to-Data-Mining.pdfLecture-1-Introduction-to-Data-Mining.pdf
Lecture-1-Introduction-to-Data-Mining.pdf
Jojo314349
 
Searching in metric spaces
Searching in metric spacesSearching in metric spaces
Searching in metric spaces
unyil96
 
(Talk in Powerpoint Format)
(Talk in Powerpoint Format)(Talk in Powerpoint Format)
(Talk in Powerpoint Format)
butest
 
Iccv2009 recognition and learning object categories p2 c01 - recognizing a ...
Iccv2009 recognition and learning object categories   p2 c01 - recognizing a ...Iccv2009 recognition and learning object categories   p2 c01 - recognizing a ...
Iccv2009 recognition and learning object categories p2 c01 - recognizing a ...
zukun
 
Fyp ideas
Fyp ideasFyp ideas
Fyp ideas
Mr SMAK
 
Data Mining
Data MiningData Mining
Data Mining
shrapb
 

Similaire à Extracting event and place semantics from Flickr tags (20)

CIKM Tutorial 2008
CIKM Tutorial 2008CIKM Tutorial 2008
CIKM Tutorial 2008
 
Data science courses
Data science coursesData science courses
Data science courses
 
KDD, Data Mining, Data Science_I.pptx
KDD, Data Mining, Data Science_I.pptxKDD, Data Mining, Data Science_I.pptx
KDD, Data Mining, Data Science_I.pptx
 
Data analytics courses
Data analytics coursesData analytics courses
Data analytics courses
 
Learn about Your Location (Using ALL Your Data)
Learn about Your Location (Using ALL Your Data)Learn about Your Location (Using ALL Your Data)
Learn about Your Location (Using ALL Your Data)
 
Lecture-1-Introduction-to-Data-Mining.pdf
Lecture-1-Introduction-to-Data-Mining.pdfLecture-1-Introduction-to-Data-Mining.pdf
Lecture-1-Introduction-to-Data-Mining.pdf
 
Techniques For Deep Query Understanding
Techniques For Deep Query UnderstandingTechniques For Deep Query Understanding
Techniques For Deep Query Understanding
 
Liquid Query: Multi-domain Exploratory Search on the Web
Liquid Query: Multi-domain Exploratory Search on the WebLiquid Query: Multi-domain Exploratory Search on the Web
Liquid Query: Multi-domain Exploratory Search on the Web
 
GDM 2011 Talk
GDM 2011 TalkGDM 2011 Talk
GDM 2011 Talk
 
Searching in metric spaces
Searching in metric spacesSearching in metric spaces
Searching in metric spaces
 
Using Search Analytics to Diagnose What’s Ailing your Information Architecture
Using Search Analytics to Diagnose What’s Ailing your Information ArchitectureUsing Search Analytics to Diagnose What’s Ailing your Information Architecture
Using Search Analytics to Diagnose What’s Ailing your Information Architecture
 
Introduction to Data Mining
Introduction to Data MiningIntroduction to Data Mining
Introduction to Data Mining
 
(Talk in Powerpoint Format)
(Talk in Powerpoint Format)(Talk in Powerpoint Format)
(Talk in Powerpoint Format)
 
Searching the Web of Things
Searching the Web of ThingsSearching the Web of Things
Searching the Web of Things
 
GeoMesa on Spark SQL: Extracting Location Intelligence from Data
GeoMesa on Spark SQL: Extracting Location Intelligence from DataGeoMesa on Spark SQL: Extracting Location Intelligence from Data
GeoMesa on Spark SQL: Extracting Location Intelligence from Data
 
Iccv2009 recognition and learning object categories p2 c01 - recognizing a ...
Iccv2009 recognition and learning object categories   p2 c01 - recognizing a ...Iccv2009 recognition and learning object categories   p2 c01 - recognizing a ...
Iccv2009 recognition and learning object categories p2 c01 - recognizing a ...
 
Fyp ideas
Fyp ideasFyp ideas
Fyp ideas
 
Chapter 1: Introduction to Data Mining
Chapter 1: Introduction to Data MiningChapter 1: Introduction to Data Mining
Chapter 1: Introduction to Data Mining
 
Lecture1
Lecture1Lecture1
Lecture1
 
Data Mining
Data MiningData Mining
Data Mining
 

Plus de mor

Time for Events -- Presentation to New Economic School / Center for the Study...
Time for Events -- Presentation to New Economic School / Center for the Study...Time for Events -- Presentation to New Economic School / Center for the Study...
Time for Events -- Presentation to New Economic School / Center for the Study...
mor
 
ECIR 2013 Keynote - Time for Events
ECIR 2013 Keynote - Time for EventsECIR 2013 Keynote - Time for Events
ECIR 2013 Keynote - Time for Events
mor
 
HCIL Symposium: Time for Events
HCIL Symposium: Time for EventsHCIL Symposium: Time for Events
HCIL Symposium: Time for Events
mor
 
Stanford Info Seminar: Unfollowing and Emotion on Twitter
Stanford Info Seminar: Unfollowing and Emotion on TwitterStanford Info Seminar: Unfollowing and Emotion on Twitter
Stanford Info Seminar: Unfollowing and Emotion on Twitter
mor
 
Unfollowing on twitter
Unfollowing on twitterUnfollowing on twitter
Unfollowing on twitter
mor
 
Mor Naaman - Stony Brook Hybrid Geographies Seminar
Mor Naaman - Stony Brook Hybrid Geographies SeminarMor Naaman - Stony Brook Hybrid Geographies Seminar
Mor Naaman - Stony Brook Hybrid Geographies Seminar
mor
 
Spatio-Tempo-Social
Spatio-Tempo-SocialSpatio-Tempo-Social
Spatio-Tempo-Social
mor
 
ZoneTag and Zurfer: Mobile Media Prototypes and Studies
ZoneTag and Zurfer: Mobile Media Prototypes and StudiesZoneTag and Zurfer: Mobile Media Prototypes and Studies
ZoneTag and Zurfer: Mobile Media Prototypes and Studies
mor
 
CS260
CS260CS260
CS260
mor
 

Plus de mor (20)

Tech, Media and Democracy: 101
Tech, Media and Democracy: 101Tech, Media and Democracy: 101
Tech, Media and Democracy: 101
 
Time for Events -- Presentation to New Economic School / Center for the Study...
Time for Events -- Presentation to New Economic School / Center for the Study...Time for Events -- Presentation to New Economic School / Center for the Study...
Time for Events -- Presentation to New Economic School / Center for the Study...
 
ECIR 2013 Keynote - Time for Events
ECIR 2013 Keynote - Time for EventsECIR 2013 Keynote - Time for Events
ECIR 2013 Keynote - Time for Events
 
HCIL Symposium: Time for Events
HCIL Symposium: Time for EventsHCIL Symposium: Time for Events
HCIL Symposium: Time for Events
 
Stanford Info Seminar: Unfollowing and Emotion on Twitter
Stanford Info Seminar: Unfollowing and Emotion on TwitterStanford Info Seminar: Unfollowing and Emotion on Twitter
Stanford Info Seminar: Unfollowing and Emotion on Twitter
 
Unfollowing on twitter
Unfollowing on twitterUnfollowing on twitter
Unfollowing on twitter
 
interacting with social media content about events
interacting with social media content about eventsinteracting with social media content about events
interacting with social media content about events
 
Informer-Meformer CSCW Presentation
Informer-Meformer CSCW PresentationInformer-Meformer CSCW Presentation
Informer-Meformer CSCW Presentation
 
Mor Naaman - Stony Brook Hybrid Geographies Seminar
Mor Naaman - Stony Brook Hybrid Geographies SeminarMor Naaman - Stony Brook Hybrid Geographies Seminar
Mor Naaman - Stony Brook Hybrid Geographies Seminar
 
Cornell Info Science Seminar
Cornell Info Science SeminarCornell Info Science Seminar
Cornell Info Science Seminar
 
Spatio-Tempo-Social
Spatio-Tempo-SocialSpatio-Tempo-Social
Spatio-Tempo-Social
 
ZoneTag and Zurfer: Mobile Media Prototypes and Studies
ZoneTag and Zurfer: Mobile Media Prototypes and StudiesZoneTag and Zurfer: Mobile Media Prototypes and Studies
ZoneTag and Zurfer: Mobile Media Prototypes and Studies
 
Social Media and Multimedia Search
Social Media and Multimedia SearchSocial Media and Multimedia Search
Social Media and Multimedia Search
 
Andorra Future Of Web Search Talk
Andorra Future Of Web Search TalkAndorra Future Of Web Search Talk
Andorra Future Of Web Search Talk
 
DB/IR Keynote - Data for the People
DB/IR Keynote - Data for the PeopleDB/IR Keynote - Data for the People
DB/IR Keynote - Data for the People
 
Columbia Talk: Landmark Search and Community-Contributed Multimedia
Columbia Talk: Landmark Search and Community-Contributed MultimediaColumbia Talk: Landmark Search and Community-Contributed Multimedia
Columbia Talk: Landmark Search and Community-Contributed Multimedia
 
Privacy Considerations in Online and Mobile Photo Sharing
Privacy Considerations in Online and Mobile Photo SharingPrivacy Considerations in Online and Mobile Photo Sharing
Privacy Considerations in Online and Mobile Photo Sharing
 
Understanding User Motivations in Online and Mobile Photo Sharing
Understanding User Motivations in Online and Mobile Photo SharingUnderstanding User Motivations in Online and Mobile Photo Sharing
Understanding User Motivations in Online and Mobile Photo Sharing
 
CS147 Social Mobile
CS147 Social MobileCS147 Social Mobile
CS147 Social Mobile
 
CS260
CS260CS260
CS260
 

Dernier

Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
panagenda
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 

Dernier (20)

Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdf
 
Manulife - Insurer Innovation Award 2024
Manulife - Insurer Innovation Award 2024Manulife - Insurer Innovation Award 2024
Manulife - Insurer Innovation Award 2024
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 
Deploy with confidence: VMware Cloud Foundation 5.1 on next gen Dell PowerEdg...
Deploy with confidence: VMware Cloud Foundation 5.1 on next gen Dell PowerEdg...Deploy with confidence: VMware Cloud Foundation 5.1 on next gen Dell PowerEdg...
Deploy with confidence: VMware Cloud Foundation 5.1 on next gen Dell PowerEdg...
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 

Extracting event and place semantics from Flickr tags

Notes de l'éditeur

  1. Mor… star interns One way to extract knowledge from Flickr tags. This is not about image search - it’s not even about photos