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PROXIMITY WITHIN PARAGRAPH: A MEASURE TO ENHANCE DOCUMENT RETRIEVAL PERFORMANCE

3) Calculate a similarity score. 1) Assign weights to each queried word. 4) Order documents by their scores. 2) Split a document into blocks. Block 1. Informatics Manchester Course. = 3. Block 2. Informatics. = 1/3. Block 3. Informatics Course. = 2/3. John A. Keane.

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PROXIMITY WITHIN PARAGRAPH: A MEASURE TO ENHANCE DOCUMENT RETRIEVAL PERFORMANCE

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  1. 3) Calculate a similarity score 1) Assign weights to each queried word 4) Order documents by their scores 2) Split a document into blocks Block 1 Informatics Manchester Course = 3 Block 2 Informatics = 1/3 Block 3 Informatics Course = 2/3 John A. Keane PROXIMITY WITHIN PARAGRAPH: A MEASURE TO ENHANCE DOCUMENT RETRIEVAL PERFORMANCE School of Informatics, The University of Manchester, UK How to calculate a score? QUERY = Informatics and Manchester and Course Srisupa Palakvangsa-Na-Ayudhya • List Returned • Doc R: 0.85 • Doc M: 0.71 • Doc L: 0.69 • Doc A: 0.56

  2. Experimental Setup • Compared with Minimum Distance Between Queried Pair (MQP) • Employed three test sets based on WT10G data set and 50 queries (Topics 501-550) • Used two criteria: the average interpolated precision-recall (AvgPrec) and the average Discounted Cumulative Gain (AvgDCG). Results Discussion This work was supported by a PhD studentship from the Royal Thai Government

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