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2007
Springer

Effective top-k computation in retrieving structured documents with term-proximity support

12 years 2 months ago
Effective top-k computation in retrieving structured documents with term-proximity support
Modern web search engines are expected to return top-k results efficiently given a query. Although many dynamic index pruning strategies have been proposed for efficient top-k computation, most of them are prone to ignore some especially important factors in ranking functions, e.g. term proximity (the distance relationship between query terms in a document). The inclusion of term proximity breaks the monotonicity of ranking functions and therefore leads to additional challenges for efficient query processing. This paper studies the performance of some existing top-k computation approaches using term-proximity-enabled ranking functions. Our investigation demonstrates that, when term proximity is incorporated into ranking functions, most existing index structures and top-k strategies become quite inefficient. According to our analysis and experimental results, we propose two index structures and their corresponding index pruning strategies: Structured and Hybrid, which performs much bet...
Mingjie Zhu, Shuming Shi, Mingjing Li, Ji-Rong Wen
Added 07 Jun 2010
Updated 07 Jun 2010
Type Conference
Year 2007
Where CIKM
Authors Mingjie Zhu, Shuming Shi, Mingjing Li, Ji-Rong Wen
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