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Data Mining for Personal Navigation. Gurushyam Hariharan Pasi Fränti Sandeep Mehta DYNAMAP PROJECT University of Joensuu, FINLAND http://cs.joensuu.fi/pages/franti/dynamap /. Personal Navigation. Location information is used for: Plotting location of user on a map

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data mining for personal navigation

Data Mining for Personal Navigation

Gurushyam Hariharan

Pasi Fränti

Sandeep Mehta

DYNAMAP PROJECT

University of Joensuu, FINLAND

http://cs.joensuu.fi/pages/franti/dynamap/

personal navigation
Personal Navigation

Location information is used for:

  • Plotting location of user on a map
  • Navigational guidance to given destination
  • Provide data related to location
data mining required
Data mining required
  • For retrieval of location-related information from www (Web mining)
  • For Task-oriented data extraction from web documents
  • For user profiling (additional parameters for defining what is relevant)
traditional definition of r elevance
Traditional definition of relevance
  • Keyword
    • Web-Based Search Engines
  • User Profile
    • Past Behavior of self and community define the profile
    • Automatic suggestions (e.g. Amazon.com proposed other “relevant” books)
novel approach to data web mining for a mobile user
Novel Approach to Data(Web)-Mining for a MOBILE USER
  • Key is to find RELEVANT information
  • Re-defining Relevance for Mining Web
  • Relevance depends on
    • User request at the moment
    • User preferences
    • Relevance = Traditional Parameters (Keywords, Profile) + LOCATION
additional relevance factor location
Additional relevance factor: Location
  • Co-ordinates of mobile User  City/Street address
  • Relevance=Location + Keywords (+Profile)
  • For example:
    • Helsinki downtown
    • “Restaurant”
    • “Budget prize” “Vegetarian”
issues for a personal navigation system with the new definition
Issues for a Personal Navigation System with the NEW Definition
  • Spot the client on the Globe
  • Co-ordinate  Location interconvertion
  • Data Extraction: Task oriented search of web
  • Scalability (in accordance with User’s Mobile Device)
  • User profile learning
  • Pass Relevant Information to the Mobile User
we regret
WE REGRET...

... the absence of the authors.

  • Gurushyam did not get VISA to USA
  • Pasi is busy elsewhere and could not change his plans in such short notice:
t hank you
THANK YOU !

For more information, contact:

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