where should-you-go

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: andrew@dalgleish.info