Lecture-E6

Lecture-E6 - Lecture E Document and Collaborative Filtering...

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Lecture E Document and Collaborative Filtering
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Document Filtering Ad hoc retrieval Static document collections , but information needs change with time Results returned when query is entered Document filtering Document collections change with time, but information needs are static (long-term) Long term information needs represented as a profile Documents entering system that match the profile are delivered to the user via a push mechanism Must be efficient and effective (minimizes FP s and FN s) 2
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Profiles Represents long-term information needs and personalized the search experience Can be represented in different ways Boolean or keyword query Sets of relevant and non-relevant documents Social tags and named entities Relational constraints “Published before 1990” “Price in the $10 - $25 range” Actual representation usually depends on the underlying filtering model Static (filtering) or updated over time ( adaptive filtering ) 3 Soft filters Hard filters
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Document Filtering Scenarios 4 Document Stream t = 2 t = 3 t = 5 t = 8 Profile 1 Profile 1 Profile 2 Profile 2 Profile 3 Profile 3 Document Stream t = 2 t = 3 t = 5 t = 8 Profile 1 Profile 1 Profile 2 Profile 2 Profile 3 Profile 3 Profile 1.1 Profile 1.1 Profile 2.1 Profile 2.1 Profile 3.1 Profile 3.1 Static Filtering Adaptive Filtering Easier to process, less robust More robust, requires frequent updates
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This document was uploaded on 10/18/2011.

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Lecture-E6 - Lecture E Document and Collaborative Filtering...

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