where should-you-go
DESCRIPTION
TRANSCRIPT
Recommending Places Through Geospatial Analysis of Real-Time
Geostreams
Andrew DalgleishUniversity of Texas at Dallas ● GIS Workshop – Summer 2010
Final PresentationJuly 29-30, 2010
Project + ObjectivesDevelop System for Collection and Analysis of Spatial-Temporal Data from Web Services
Provide Web Based Map tool for viewing Places and Recommendations
Use of Open-Source GIS Software and Standards
Similar Projects + Research
Sites such as FourWhere.com, TrendsMap.com and Twitris.knowsis.org provide thematic map visualizations of social network data.Location-Based Features in Google, Foursquare, and Facebook.CityVoyager (Microsoft Research) and GeoLife (Takeuchi & Sugimoto) – Collaborative Filtering based on user travel history, as tracked by GPS
Difference between “Location” and “Place”: They both tell you where you are, but one is spatially precise, the other is contextually precise.
Twitter Data Stream (July 10-25, 2010)
Entity Relationship Diagram
Calculate User Similarity
And Now… A Demo
Problems & Lessons Learned
Resolving Place-Equivalance across Social Networks People checking into their “homes”
Hosting Provider Amazon / Media Temple (ve) / Google App EngineFollow @ManningBooks to get 50% off eBooksCode Reuse! codeplex.com / github / code.google.com
Conclusions & Future Work
Addition of new social network logins (yelp, Facebook, Gowalla)Factor ratings into resultsAbility to search for places by name, add to “Favourites”, to get recommendations without social network loginMore spatial analysis possibly leading to algorithms for Collaborative FilteringMobile Application
Thanks!
http://WhereShouldYouGo.comhttp://Andrew.Dalgleish.infohttp://metafedora.com
Twitter: @metafedoraEmail: [email protected]