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PMSE-Personalized mobile search engine

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PMSE-Personalized mobile search engine

  1. 1. Introduction  Existing system  * Disadvantages  Proposed system * Advantages  Futurework
  2. 2.  PMSE captures the users’ preferences  Classification of concept -Content -Location  Users’ locations are used.  The user preferences are organized
  3. 3.  The client - collects and stores locally clickthrough data to protect privacy.  At server - concept extraction, training and reranking.  Privacy issue – is taken care by restricting the information in the user profile.
  4. 4.  Existing system requires users to manually enter the location preferences  Manually server retrieves a set of locations  User profile being exposed
  5. 5.  Interactions are limited.  User queries are shorter , more ambiguous  No privacy preservation
  6. 6.  PMSE profiles both of the user’s content and location preferences  The user preferences are organized in an ontology based, multi-facet order  Users’ used locations positioned by GPS are
  7. 7.  Preserving privacy issue  Avoids overlooking of unnecessary document  Train the user profiles quickly and efficiently  Maintaining good ranking quality.  Improves retrieval effectiveness
  8. 8.  To exploit regular travel patterns and query patterns from the GPS  Further enhancement of the personalization effectiveness

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