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GeoPromos: Location-Based Promotion Mapping Tool

PromoMap allows users to collect, analyze, and view promotions on a map interface. Users can pan and zoom to find promotions based on location, business types, and zoom level. The system displays different promotions and details based on the map view. Challenges include precise data collection, geocoding, promotion clustering, and storage. Requirements include knowledge of information retrieval, tree-based data structures, and programming skills in C#, Java, and B/S. Participants can learn about spatial indexes, clustering algorithms, GIS frameworks, location-based services, and research skills.

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GeoPromos: Location-Based Promotion Mapping Tool

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  1. PromoMap:Promotions on the Map Xiangye Xiao Oct. 12, 2009

  2. Scenarioof Searching Flyers on the Map (from Customers) Buysomefoodafterworkonthewayhome?=>ChecktheflyersofCarrefourandWalmart

  3. Scenario of Searching Coupons on the Map (from Customers) Offeradinner?=>Findanearbyrestaurantandprintitscoupons

  4. Scenario of Searching Promotions of Competitors (from Salesmen) What are my nearby competitor ‘s promotions in this holidays?

  5. PromoMap • Collect, analyze, and display promotions in a map interface • By panning and zooming in the map interface, users can retrieve promotions based on geographic regions • See different promotions depending on the position and zoom level

  6. User Interface Group promotions based on the business types

  7. When Zoom In on the Map • Different promotions and more details of promotions are displayed Promotions of the Same company at multiple branches are displayed

  8. Challenges • Collect and extract promotions precisely • Correctly identify the geographic footprint of a promotion, i.e., geocoding • Cluster promotions based on their services/locations • Storage and operations of promotions • Remove an expired promotion • Search a similar/identical promotion • Insert a new promotion • User interface issues

  9. Requirements for Participants • Basic knowledge on information retrieval • Basic knowledge on tree based data structures • Programming with C#, Java, B/S

  10. What can Participants Learn • Knowledge: • Spatial indexes • Clustering algorithms • Framework of geographic information system (GIS) • Location based services • Skills • Research skills: paper reading & writing, problem formulation, solution proposal, experimental evaluation • Developing skill with Google Maps API

  11. Useful Links • http://www.dahongbao.com/ • http://bj.58.com/yhq/ • http://www.yinggou.com/indexCuXiao.html • http://www.byit365.com/ • Teitler, B. E., Lieberman, M. D., Panozzo, D., Sankaranarayanan, J., Samet, H., and Sperling, J. NewsStand: a new view on news. In ACMGIS '08.

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