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