PERSONALIZED SEARCH Ram Nithin Baalay

Personalized Search? Search Engine: A Vital Need Next level of Intelligent Information Retrieval. Retrieval of Information based on user data  User’s Interests  Browsing Behavior  Geographic Location  Context of Query

Personalized? Search Engine typically returns thousands to millions of documents Eliminates unwanted web pages Learn about the user and return highly targeted results Personalization is not easy, it could be a nuisance if wrongly done

Example

Personalized Search What are we implementing?  Location Based Search  Context Based Search  Activity Aware Search

Location Based Search Searches within Geographical Context of the user “Geospatially Enabled Search” or “Local Search” Adds Geo Coding. - Adding locality parameter to the search

Location Aware Search Find IP of user. Get locality parameters (geolite) Geocode query. Get local results ! Geo Tags – To identify location information of web pages.

Example

Context Based Search Resolves Ambiguities pertaining to context of queries. Relevance Feedback Increases Efficiency Makes Web Search user friendly.

Context Based Search Input Query Returns list of web pages Take Relevance Feedback Get the top features and re submit query Get more Specific Results ! Give feedback again for more specific results.

Context Based Search Expanding Tree.

Activity Based Search Returns results along with a window / pane containing suggestions. Click web pages or select one of the suggested queries. Expand Query. Local Database of Queries. Find similar queries in Database.

Activity Based Search

Conclusion The Next Generation of Search Technology Makes Searching Efficient User Friendly

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