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Title |
MWDM: Minimum Weighted Displacement Model |
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Author |
Javad Paksima, Alimohammad Zareh Bidoki, Vali Derhami, Sajad, Zarifzadeh |
| Citation |
Vol. 26 No. 6 pp. 96-106 |
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Abstract |
Based on researches on search engines, the majority of user queries is more than one term. For queries with more than one term, two models can be used. The first model assumes that query terms are independent of each other but the second model considers a location and order dependency between query terms. Experiments show that in majority of queries there are dependencies between terms. One of the parameters that can specify dependencies between query terms is the distance between query terms in the document. In this paper, a new definition of distance based on Minimum Weighted Displacement Model (MWDM) of document terms to accommodate the query terms is presented. Also because most of the ranking algorithms use the TF (Term Frequency) to score documents and for queries more than one term, there is no clear definition of these parameters; in this paper, Phrase Frequency and Inverted Document Frequency are defined according to the new distance concept. Also algorithms to calculate them are presented. The results of the proposed algorithm compared with multiple corresponding algorithms shows a favorable increase in average precision. |
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Keywords |
Search engine, ranking, distance, term dependency, Proximity |
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