SlideShare uma empresa Scribd logo
1 de 71
Baixar para ler offline
time for events
telling the world’s stories from social media


                              Mor Naaman
                Rutgers SC&I & Mahaya, Inc.
                                 @informor
ECIR 2013 Keynote - Time for Events
ECIR 2013 Keynote - Time for Events
enter: social media
(JCDL 2007)
(JCDL 2007)
(SIGIR 2007)




               yes.
organize the world’s memories
people, together
BYOBW
outside lands festival
ECIR 2013 Keynote - Time for Events
ECIR 2013 Keynote - Time for Events
ECIR 2013 Keynote - Time for Events
organize the world’s memories
detect



identify



organize
           objectives
objectives
detect




         ICWSM 2011a
         JASIST 2011
         WebDB 2009
         SIGIR 2007
objectives



identify

             WSDM 2012
             ICWSM 2011b
             WSDM 2010
objectives




               organize
 ICMR 2012
   CHI 2012
CSCW 2012
 MTAP 2012
 VAST 2010
WWW 2009
today




                                  organize
         identify
detect




                    
                        Vox!
                    multi-site
              Multiplayer
overview   E   Multi-site content




               Vox Civitas




               Multiplayer
E



goal
effectively retrieve social media content
for known events from multiple services




[with Hila Becker, Luis Gravano]
E
E



challenges
event descriptor not well-formed

brief textual descriptors

noise

formats/conventions/metadata differ
E



approach
two-step query formulation
  precision-based
  recall-based

validate queries based on known/
extracted event model
E
                                 E


step 1
term extraction from event descriptors
generates “high precision” queries


e. g. “andrew bird, opening gala,
celebrate brooklyn, prospect park”
E
                                  E


step 2
use “high precision” corpus to generate
more general queries to improve recall


e. g. “andrew bird concert”, “state farm
insurance”
E
                                     E


recall-oriented queries
Benefits:
- Works cross-site
- Works with short content

Challenges:
- Introduces noise
- Potentially large set of queries
E
                                     E


post-filtering
use known event model (topics, time,
location)

use queries with a result set that
matches known model
E
                                                                    E


for example...
120"
100"
 80"
 60"
 40"
 20"
  0"
       6/7/11"   6/8/11"    6/9/11"   6/10/11" 6/11/11" 6/12/11" 6/13/11"
                 [andrew"bird"concert]"   [state"farm"insurance]"
E



evaluation
        1.1"
query generation4"
          1"                                    4"
        0.9"
        0.8"        5"      5"                              Precision"
        0.7"
relevance of36"retrieved documents
NDCG%




        0.6"
       39"         34"  34"
                             Twi7er8MS"
        0.5"
        0.4"
        0.3"                                                YouTube8MS"
                                                7"
        0.2"        9"      8"        8"
        0.1"
          0"
               0"   5"      10"       15"       20"   25"
                         Number%of%Documents%k%
E



takeaways
can aggregate content fragmented
across platforms

improve recall, not rely on site-specific
features
overview   E   Multi-site content
                  (WSDM 2012)



               Vox Civitas




               Multiplayer
ECIR 2013 Keynote - Time for Events
research questions
can Twitter content around broadcast
news events inform journalistic inquiry?

what insights and analyses can we
enable through visual analytic tools?

[with postdoctoral fellow Nick Diakopoulos]
supporting analysis
direct attention to relevant information
automatic content analysis for filtering
   – relevance
   – uniqueness / novelty
   – sentiment
   – keyword extraction
ECIR 2013 Keynote - Time for Events
how to evaluate?
directly evaluate the output of the
algorithms (quantitative)
deep, extensive evaluation of users’
interaction with the system (qualitative)	
  

                      read more: Olsen (UIST ’07)
                            Naaman (MTAP ’12)
Vox evaluation goals
•  How effective for generating story ideas?
•  What kind of insights/analysis are
   supported?
•  Shortcomings and how features are
   used?
takeaways
can extract reliable event structure from
social media
overview   E   Multi-site content




               Vox Civitas
                 (VAST 2010)




               Multiplayer
what the hell?




[with: Lyndon Kennedy, Dan Ellis, Kai Su]
ECIR 2013 Keynote - Time for Events
ECIR 2013 Keynote - Time for Events
ECIR 2013 Keynote - Time for Events
ECIR 2013 Keynote - Time for Events
supporting analysis
extract the signal from people’s
attention:

find overlapping moments
compute and rank scenes
extract scene descriptors
audio fingerprinting




             Wang et al. (ISMIR ’03)
two clips, aligned
         0:18
                 3:32
0:00


0:00
                       2:32
a story of n clips




 time
from clips to scenes


Higher Ground
Encore

         time           Happy Birthday,
                        Birthday
ECIR 2013 Keynote - Time for Events
evaluation
quantitative: evaluated matching, scene
extraction…

qualitative: evaluated deployment
scenario/task
takeaways
can create an event presentation that
gets better them more content is added
overview   E   Multi-site content




               Vox Civitas




               Multiplayer
                 (NM&S 2012, ICMR 2012,
                 MTAP 2012, WWW 2009)
ECIR 2013 Keynote - Time for Events
towards better models of
large-scale human attention
printing press
è knowledge archive
digital documents
èdigital archive
the web
ènetworked archive
social media
èexperience archive
new methods?
search by subject code?
explore.
new information seeking tasks (and
models)

new applications for social media
content
explore.
beyond real-time
personal and social
questions?




   mor@rutgers.edu
       @informor
http://mornaaman.com
thanks
Luis Gravano
Hila Becker
Nick Diakopoulos
Kai Su
Dan Ellis
Munmun de Choudhury
Tarikh Korula
…

Mais conteúdo relacionado

Destaque

Calc224FinalExamReview
Calc224FinalExamReviewCalc224FinalExamReview
Calc224FinalExamReviewTori Peña
 
Blogs in the Classroom
Blogs in the ClassroomBlogs in the Classroom
Blogs in the ClassroomAlisa Cooper
 
Why the hell do you want a social intranet anyway
Why the hell do you want a social intranet anywayWhy the hell do you want a social intranet anyway
Why the hell do you want a social intranet anywayAntony Clay
 
The consultants | Your Value Partner
The consultants  |  Your Value PartnerThe consultants  |  Your Value Partner
The consultants | Your Value PartnerThe Consultants
 
名古屋 買取 財布
名古屋 買取 財布名古屋 買取 財布
名古屋 買取 財布DavidClark1298
 
Cloud.ca and CloudOps cs_auth
Cloud.ca and CloudOps cs_auth Cloud.ca and CloudOps cs_auth
Cloud.ca and CloudOps cs_auth Ian Rae
 

Destaque (12)

Calc224FinalExamReview
Calc224FinalExamReviewCalc224FinalExamReview
Calc224FinalExamReview
 
Historia del derecho
Historia del derechoHistoria del derecho
Historia del derecho
 
Blogs in the Classroom
Blogs in the ClassroomBlogs in the Classroom
Blogs in the Classroom
 
Why the hell do you want a social intranet anyway
Why the hell do you want a social intranet anywayWhy the hell do you want a social intranet anyway
Why the hell do you want a social intranet anyway
 
CV
CVCV
CV
 
The consultants | Your Value Partner
The consultants  |  Your Value PartnerThe consultants  |  Your Value Partner
The consultants | Your Value Partner
 
Tieng anh chuyen nganh may
Tieng anh chuyen nganh mayTieng anh chuyen nganh may
Tieng anh chuyen nganh may
 
Programación
ProgramaciónProgramación
Programación
 
名古屋 買取 財布
名古屋 買取 財布名古屋 買取 財布
名古屋 買取 財布
 
Portfolio2456
Portfolio2456Portfolio2456
Portfolio2456
 
C.M.Shobha
C.M.ShobhaC.M.Shobha
C.M.Shobha
 
Cloud.ca and CloudOps cs_auth
Cloud.ca and CloudOps cs_auth Cloud.ca and CloudOps cs_auth
Cloud.ca and CloudOps cs_auth
 

Semelhante a ECIR 2013 Keynote - Time for Events

Mediarevealr: A social multimedia monitoring and intelligence system for Web ...
Mediarevealr: A social multimedia monitoring and intelligence system for Web ...Mediarevealr: A social multimedia monitoring and intelligence system for Web ...
Mediarevealr: A social multimedia monitoring and intelligence system for Web ...REVEAL - Social Media Verification
 
Media REVEALr: A social multimedia monitoring and intelligence system for Web...
Media REVEALr: A social multimedia monitoring and intelligence system for Web...Media REVEALr: A social multimedia monitoring and intelligence system for Web...
Media REVEALr: A social multimedia monitoring and intelligence system for Web...Symeon Papadopoulos
 
Interactive Video Search: Where is the User in the Age of Deep Learning?
Interactive Video Search: Where is the User in the Age of Deep Learning?Interactive Video Search: Where is the User in the Age of Deep Learning?
Interactive Video Search: Where is the User in the Age of Deep Learning?klschoef
 
Analyzing large multimedia collections in an urban context - Prof. Marcel Wor...
Analyzing large multimedia collections in an urban context - Prof. Marcel Wor...Analyzing large multimedia collections in an urban context - Prof. Marcel Wor...
Analyzing large multimedia collections in an urban context - Prof. Marcel Wor...Facultad de Informática UCM
 
Ben Shneiderman: Thrill of Discovery
Ben Shneiderman: Thrill of DiscoveryBen Shneiderman: Thrill of Discovery
Ben Shneiderman: Thrill of Discoveryruss9595
 
Visualization for Software Analytics
Visualization for Software AnalyticsVisualization for Software Analytics
Visualization for Software AnalyticsMargaret-Anne Storey
 
Lies, Damned Lies and Software Analytics: Why Big Data Needs Rich Data
Lies, Damned Lies and Software Analytics:  Why Big Data Needs Rich DataLies, Damned Lies and Software Analytics:  Why Big Data Needs Rich Data
Lies, Damned Lies and Software Analytics: Why Big Data Needs Rich DataMargaret-Anne Storey
 
From Research to Applications: What Can We Extract with Social Media Sensing?
From Research to Applications: What Can We Extract with Social Media Sensing?From Research to Applications: What Can We Extract with Social Media Sensing?
From Research to Applications: What Can We Extract with Social Media Sensing?Yiannis Kompatsiaris
 
Forethoughts (or Four Provocations) on Linked Data and Digital Scholarship
Forethoughts (or Four Provocations) on Linked Data and Digital ScholarshipForethoughts (or Four Provocations) on Linked Data and Digital Scholarship
Forethoughts (or Four Provocations) on Linked Data and Digital ScholarshipDavid De Roure
 
ExLibris National Library Meeting @ IFLA-Helsinki - Aug 15th 2012
ExLibris National Library Meeting @ IFLA-Helsinki - Aug 15th 2012ExLibris National Library Meeting @ IFLA-Helsinki - Aug 15th 2012
ExLibris National Library Meeting @ IFLA-Helsinki - Aug 15th 2012Lee Dirks
 
SocialSensor Project: Sensing User Generated Input for Improved Media Discove...
SocialSensor Project: Sensing User Generated Input for Improved Media Discove...SocialSensor Project: Sensing User Generated Input for Improved Media Discove...
SocialSensor Project: Sensing User Generated Input for Improved Media Discove...Yiannis Kompatsiaris
 
Structured Data Presentation
Structured Data PresentationStructured Data Presentation
Structured Data PresentationShawn Day
 
2020_12_11 «Opening Education with Artificial Intelligence» - Mitja Jermol
2020_12_11 «Opening Education with Artificial Intelligence» - Mitja Jermol2020_12_11 «Opening Education with Artificial Intelligence» - Mitja Jermol
2020_12_11 «Opening Education with Artificial Intelligence» - Mitja JermoleMadrid network
 
Spohrer smarter service systems transdisciplinarity 20141121 v7
Spohrer smarter service systems transdisciplinarity  20141121 v7Spohrer smarter service systems transdisciplinarity  20141121 v7
Spohrer smarter service systems transdisciplinarity 20141121 v7ISSIP
 
Multimedia Information Retrieval: Bytes and pixels meet the challenges of hum...
Multimedia Information Retrieval: Bytes and pixels meet the challenges of hum...Multimedia Information Retrieval: Bytes and pixels meet the challenges of hum...
Multimedia Information Retrieval: Bytes and pixels meet the challenges of hum...maranlar
 
Citizen Sensing: Opportunities and Challenges in Mining Social Signals and Pe...
Citizen Sensing: Opportunities and Challenges in Mining Social Signals and Pe...Citizen Sensing: Opportunities and Challenges in Mining Social Signals and Pe...
Citizen Sensing: Opportunities and Challenges in Mining Social Signals and Pe...Artificial Intelligence Institute at UofSC
 
Deep Learning: Changing the Playing Field of Artificial Intelligence - MaRS G...
Deep Learning: Changing the Playing Field of Artificial Intelligence - MaRS G...Deep Learning: Changing the Playing Field of Artificial Intelligence - MaRS G...
Deep Learning: Changing the Playing Field of Artificial Intelligence - MaRS G...MaRS Discovery District
 
Observe: Semantic Context-based Content Recommendation for Adaptive Public Sc...
Observe: Semantic Context-based Content Recommendation for Adaptive Public Sc...Observe: Semantic Context-based Content Recommendation for Adaptive Public Sc...
Observe: Semantic Context-based Content Recommendation for Adaptive Public Sc...Victor de Boer
 
Linked Data for Digital Humanities research at Media Archives
Linked Data for Digital Humanities research at Media ArchivesLinked Data for Digital Humanities research at Media Archives
Linked Data for Digital Humanities research at Media ArchivesVictor de Boer
 
Enterprise Search: An Information Architect's Perspective
Enterprise Search: An Information Architect's PerspectiveEnterprise Search: An Information Architect's Perspective
Enterprise Search: An Information Architect's PerspectivePeter Morville
 

Semelhante a ECIR 2013 Keynote - Time for Events (20)

Mediarevealr: A social multimedia monitoring and intelligence system for Web ...
Mediarevealr: A social multimedia monitoring and intelligence system for Web ...Mediarevealr: A social multimedia monitoring and intelligence system for Web ...
Mediarevealr: A social multimedia monitoring and intelligence system for Web ...
 
Media REVEALr: A social multimedia monitoring and intelligence system for Web...
Media REVEALr: A social multimedia monitoring and intelligence system for Web...Media REVEALr: A social multimedia monitoring and intelligence system for Web...
Media REVEALr: A social multimedia monitoring and intelligence system for Web...
 
Interactive Video Search: Where is the User in the Age of Deep Learning?
Interactive Video Search: Where is the User in the Age of Deep Learning?Interactive Video Search: Where is the User in the Age of Deep Learning?
Interactive Video Search: Where is the User in the Age of Deep Learning?
 
Analyzing large multimedia collections in an urban context - Prof. Marcel Wor...
Analyzing large multimedia collections in an urban context - Prof. Marcel Wor...Analyzing large multimedia collections in an urban context - Prof. Marcel Wor...
Analyzing large multimedia collections in an urban context - Prof. Marcel Wor...
 
Ben Shneiderman: Thrill of Discovery
Ben Shneiderman: Thrill of DiscoveryBen Shneiderman: Thrill of Discovery
Ben Shneiderman: Thrill of Discovery
 
Visualization for Software Analytics
Visualization for Software AnalyticsVisualization for Software Analytics
Visualization for Software Analytics
 
Lies, Damned Lies and Software Analytics: Why Big Data Needs Rich Data
Lies, Damned Lies and Software Analytics:  Why Big Data Needs Rich DataLies, Damned Lies and Software Analytics:  Why Big Data Needs Rich Data
Lies, Damned Lies and Software Analytics: Why Big Data Needs Rich Data
 
From Research to Applications: What Can We Extract with Social Media Sensing?
From Research to Applications: What Can We Extract with Social Media Sensing?From Research to Applications: What Can We Extract with Social Media Sensing?
From Research to Applications: What Can We Extract with Social Media Sensing?
 
Forethoughts (or Four Provocations) on Linked Data and Digital Scholarship
Forethoughts (or Four Provocations) on Linked Data and Digital ScholarshipForethoughts (or Four Provocations) on Linked Data and Digital Scholarship
Forethoughts (or Four Provocations) on Linked Data and Digital Scholarship
 
ExLibris National Library Meeting @ IFLA-Helsinki - Aug 15th 2012
ExLibris National Library Meeting @ IFLA-Helsinki - Aug 15th 2012ExLibris National Library Meeting @ IFLA-Helsinki - Aug 15th 2012
ExLibris National Library Meeting @ IFLA-Helsinki - Aug 15th 2012
 
SocialSensor Project: Sensing User Generated Input for Improved Media Discove...
SocialSensor Project: Sensing User Generated Input for Improved Media Discove...SocialSensor Project: Sensing User Generated Input for Improved Media Discove...
SocialSensor Project: Sensing User Generated Input for Improved Media Discove...
 
Structured Data Presentation
Structured Data PresentationStructured Data Presentation
Structured Data Presentation
 
2020_12_11 «Opening Education with Artificial Intelligence» - Mitja Jermol
2020_12_11 «Opening Education with Artificial Intelligence» - Mitja Jermol2020_12_11 «Opening Education with Artificial Intelligence» - Mitja Jermol
2020_12_11 «Opening Education with Artificial Intelligence» - Mitja Jermol
 
Spohrer smarter service systems transdisciplinarity 20141121 v7
Spohrer smarter service systems transdisciplinarity  20141121 v7Spohrer smarter service systems transdisciplinarity  20141121 v7
Spohrer smarter service systems transdisciplinarity 20141121 v7
 
Multimedia Information Retrieval: Bytes and pixels meet the challenges of hum...
Multimedia Information Retrieval: Bytes and pixels meet the challenges of hum...Multimedia Information Retrieval: Bytes and pixels meet the challenges of hum...
Multimedia Information Retrieval: Bytes and pixels meet the challenges of hum...
 
Citizen Sensing: Opportunities and Challenges in Mining Social Signals and Pe...
Citizen Sensing: Opportunities and Challenges in Mining Social Signals and Pe...Citizen Sensing: Opportunities and Challenges in Mining Social Signals and Pe...
Citizen Sensing: Opportunities and Challenges in Mining Social Signals and Pe...
 
Deep Learning: Changing the Playing Field of Artificial Intelligence - MaRS G...
Deep Learning: Changing the Playing Field of Artificial Intelligence - MaRS G...Deep Learning: Changing the Playing Field of Artificial Intelligence - MaRS G...
Deep Learning: Changing the Playing Field of Artificial Intelligence - MaRS G...
 
Observe: Semantic Context-based Content Recommendation for Adaptive Public Sc...
Observe: Semantic Context-based Content Recommendation for Adaptive Public Sc...Observe: Semantic Context-based Content Recommendation for Adaptive Public Sc...
Observe: Semantic Context-based Content Recommendation for Adaptive Public Sc...
 
Linked Data for Digital Humanities research at Media Archives
Linked Data for Digital Humanities research at Media ArchivesLinked Data for Digital Humanities research at Media Archives
Linked Data for Digital Humanities research at Media Archives
 
Enterprise Search: An Information Architect's Perspective
Enterprise Search: An Information Architect's PerspectiveEnterprise Search: An Information Architect's Perspective
Enterprise Search: An Information Architect's Perspective
 

Mais de mor

Tech, Media and Democracy: 101
Tech, Media and Democracy: 101Tech, Media and Democracy: 101
Tech, Media and Democracy: 101mor
 
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 Twittermor
 
Unfollowing on twitter
Unfollowing on twitterUnfollowing on twitter
Unfollowing on twittermor
 
Informer-Meformer CSCW Presentation
Informer-Meformer CSCW PresentationInformer-Meformer CSCW Presentation
Informer-Meformer CSCW Presentationmor
 
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 Seminarmor
 
Spatio-Tempo-Social
Spatio-Tempo-SocialSpatio-Tempo-Social
Spatio-Tempo-Socialmor
 
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 Studiesmor
 
Social Media and Multimedia Search
Social Media and Multimedia SearchSocial Media and Multimedia Search
Social Media and Multimedia Searchmor
 
Andorra Future Of Web Search Talk
Andorra Future Of Web Search TalkAndorra Future Of Web Search Talk
Andorra Future Of Web Search Talkmor
 
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 Peoplemor
 
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 Multimediamor
 
How Flickr Helps us Make Sense of the World
How Flickr Helps us Make Sense of the WorldHow Flickr Helps us Make Sense of the World
How Flickr Helps us Make Sense of the Worldmor
 
Extracting event and place semantics from Flickr tags
Extracting event and place semantics from Flickr tagsExtracting event and place semantics from Flickr tags
Extracting event and place semantics from Flickr tagsmor
 
Developers Are People, Too
Developers Are People, TooDevelopers Are People, Too
Developers Are People, Toomor
 
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 Sharingmor
 
Photos, Mobile, Location and the Social Media Cycle
Photos, Mobile, Location and the Social Media CyclePhotos, Mobile, Location and the Social Media Cycle
Photos, Mobile, Location and the Social Media Cyclemor
 
Stanford Info Seminar March 07
Stanford Info Seminar March 07Stanford Info Seminar March 07
Stanford Info Seminar March 07mor
 
MIT CSAIL HCI Seminar
MIT CSAIL HCI SeminarMIT CSAIL HCI Seminar
MIT CSAIL HCI Seminarmor
 
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 Sharingmor
 
CS147 Social Mobile
CS147 Social MobileCS147 Social Mobile
CS147 Social Mobilemor
 

Mais de mor (20)

Tech, Media and Democracy: 101
Tech, Media and Democracy: 101Tech, Media and Democracy: 101
Tech, Media and Democracy: 101
 
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
 
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
 
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
 
How Flickr Helps us Make Sense of the World
How Flickr Helps us Make Sense of the WorldHow Flickr Helps us Make Sense of the World
How Flickr Helps us Make Sense of the World
 
Extracting event and place semantics from Flickr tags
Extracting event and place semantics from Flickr tagsExtracting event and place semantics from Flickr tags
Extracting event and place semantics from Flickr tags
 
Developers Are People, Too
Developers Are People, TooDevelopers Are People, Too
Developers Are People, Too
 
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
 
Photos, Mobile, Location and the Social Media Cycle
Photos, Mobile, Location and the Social Media CyclePhotos, Mobile, Location and the Social Media Cycle
Photos, Mobile, Location and the Social Media Cycle
 
Stanford Info Seminar March 07
Stanford Info Seminar March 07Stanford Info Seminar March 07
Stanford Info Seminar March 07
 
MIT CSAIL HCI Seminar
MIT CSAIL HCI SeminarMIT CSAIL HCI Seminar
MIT CSAIL HCI Seminar
 
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
 

Último

Videogame localization & technology_ how to enhance the power of translation.pdf
Videogame localization & technology_ how to enhance the power of translation.pdfVideogame localization & technology_ how to enhance the power of translation.pdf
Videogame localization & technology_ how to enhance the power of translation.pdfinfogdgmi
 
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...DianaGray10
 
Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™Adtran
 
Computer 10: Lesson 10 - Online Crimes and Hazards
Computer 10: Lesson 10 - Online Crimes and HazardsComputer 10: Lesson 10 - Online Crimes and Hazards
Computer 10: Lesson 10 - Online Crimes and HazardsSeth Reyes
 
COMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a WebsiteCOMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a Websitedgelyza
 
20230202 - Introduction to tis-py
20230202 - Introduction to tis-py20230202 - Introduction to tis-py
20230202 - Introduction to tis-pyJamie (Taka) Wang
 
VoIP Service and Marketing using Odoo and Asterisk PBX
VoIP Service and Marketing using Odoo and Asterisk PBXVoIP Service and Marketing using Odoo and Asterisk PBX
VoIP Service and Marketing using Odoo and Asterisk PBXTarek Kalaji
 
UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...
UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...
UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...UbiTrack UK
 
Building AI-Driven Apps Using Semantic Kernel.pptx
Building AI-Driven Apps Using Semantic Kernel.pptxBuilding AI-Driven Apps Using Semantic Kernel.pptx
Building AI-Driven Apps Using Semantic Kernel.pptxUdaiappa Ramachandran
 
How Accurate are Carbon Emissions Projections?
How Accurate are Carbon Emissions Projections?How Accurate are Carbon Emissions Projections?
How Accurate are Carbon Emissions Projections?IES VE
 
Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024SkyPlanner
 
AI Fame Rush Review – Virtual Influencer Creation In Just Minutes
AI Fame Rush Review – Virtual Influencer Creation In Just MinutesAI Fame Rush Review – Virtual Influencer Creation In Just Minutes
AI Fame Rush Review – Virtual Influencer Creation In Just MinutesMd Hossain Ali
 
UiPath Community: AI for UiPath Automation Developers
UiPath Community: AI for UiPath Automation DevelopersUiPath Community: AI for UiPath Automation Developers
UiPath Community: AI for UiPath Automation DevelopersUiPathCommunity
 
Designing A Time bound resource download URL
Designing A Time bound resource download URLDesigning A Time bound resource download URL
Designing A Time bound resource download URLRuncy Oommen
 
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDEADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDELiveplex
 
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019IES VE
 
AI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity WebinarAI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity WebinarPrecisely
 
Linked Data in Production: Moving Beyond Ontologies
Linked Data in Production: Moving Beyond OntologiesLinked Data in Production: Moving Beyond Ontologies
Linked Data in Production: Moving Beyond OntologiesDavid Newbury
 
Basic Building Blocks of Internet of Things.
Basic Building Blocks of Internet of Things.Basic Building Blocks of Internet of Things.
Basic Building Blocks of Internet of Things.YounusS2
 

Último (20)

Videogame localization & technology_ how to enhance the power of translation.pdf
Videogame localization & technology_ how to enhance the power of translation.pdfVideogame localization & technology_ how to enhance the power of translation.pdf
Videogame localization & technology_ how to enhance the power of translation.pdf
 
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...
 
Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™
 
Computer 10: Lesson 10 - Online Crimes and Hazards
Computer 10: Lesson 10 - Online Crimes and HazardsComputer 10: Lesson 10 - Online Crimes and Hazards
Computer 10: Lesson 10 - Online Crimes and Hazards
 
COMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a WebsiteCOMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a Website
 
20230202 - Introduction to tis-py
20230202 - Introduction to tis-py20230202 - Introduction to tis-py
20230202 - Introduction to tis-py
 
20230104 - machine vision
20230104 - machine vision20230104 - machine vision
20230104 - machine vision
 
VoIP Service and Marketing using Odoo and Asterisk PBX
VoIP Service and Marketing using Odoo and Asterisk PBXVoIP Service and Marketing using Odoo and Asterisk PBX
VoIP Service and Marketing using Odoo and Asterisk PBX
 
UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...
UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...
UWB Technology for Enhanced Indoor and Outdoor Positioning in Physiological M...
 
Building AI-Driven Apps Using Semantic Kernel.pptx
Building AI-Driven Apps Using Semantic Kernel.pptxBuilding AI-Driven Apps Using Semantic Kernel.pptx
Building AI-Driven Apps Using Semantic Kernel.pptx
 
How Accurate are Carbon Emissions Projections?
How Accurate are Carbon Emissions Projections?How Accurate are Carbon Emissions Projections?
How Accurate are Carbon Emissions Projections?
 
Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024
 
AI Fame Rush Review – Virtual Influencer Creation In Just Minutes
AI Fame Rush Review – Virtual Influencer Creation In Just MinutesAI Fame Rush Review – Virtual Influencer Creation In Just Minutes
AI Fame Rush Review – Virtual Influencer Creation In Just Minutes
 
UiPath Community: AI for UiPath Automation Developers
UiPath Community: AI for UiPath Automation DevelopersUiPath Community: AI for UiPath Automation Developers
UiPath Community: AI for UiPath Automation Developers
 
Designing A Time bound resource download URL
Designing A Time bound resource download URLDesigning A Time bound resource download URL
Designing A Time bound resource download URL
 
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDEADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
 
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
 
AI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity WebinarAI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity Webinar
 
Linked Data in Production: Moving Beyond Ontologies
Linked Data in Production: Moving Beyond OntologiesLinked Data in Production: Moving Beyond Ontologies
Linked Data in Production: Moving Beyond Ontologies
 
Basic Building Blocks of Internet of Things.
Basic Building Blocks of Internet of Things.Basic Building Blocks of Internet of Things.
Basic Building Blocks of Internet of Things.
 

ECIR 2013 Keynote - Time for Events