personalized search ram nithin baalay. personalized search? search engine: a vital need next level...

PERSONALIZED SEARCH

Ram Nithin Baalay

Personalized Search?

Search Engine: A Vital NeedNext 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 pagesLearn about the user and return highly

targeted resultsPersonalization 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 FeedbackIncreases EfficiencyMakes Web Search user friendly.

Context Based Search

Input QueryReturns list of web pagesTake Relevance FeedbackGet the top features and re submit queryGet 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

Thank You