2. Introduction
 Existing system

* Disadvantages

Proposed system
* Advantages

Futurework

3.  PMSE
captures the users’ preferences
 Classification of concept
-Content
-Location
 Users’ locations are used.
 The user preferences are organized

4. 
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.

5. 
Existing system requires users to manually
enter the location preferences

Manually server retrieves a set of locations

User profile being exposed

6.  Interactions
are limited.
 User
queries are shorter , more
ambiguous

No privacy preservation

7.  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

8.  Preserving
privacy issue
 Avoids overlooking of unnecessary
document
 Train the user profiles quickly and
efficiently
 Maintaining good ranking quality.
 Improves retrieval effectiveness

9.  To
exploit regular travel patterns and
query patterns from the GPS

Further enhancement of the
personalization effectiveness