Context-Aware Top-k Processing using Views

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Provided by: INRIA
Topic: Big Data
Format: PDF
Search applications where queries are dependent on their context are becoming increasingly relevant in today's online applications. For example, the context may be the location of the user in location-aware search or the social network of the query initiator in social-aware search. Processing such queries efficiently is inherently difficult, and requires techniques that go beyond the existing, contextagnostic ones. A promising direction for efficient, online answering - especially in the case of top-k queries - is to materialize and exploit previous query results (views).
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