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terry_well

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sltmac(½ð±Ò+1): 2011-11-29 08:53:15
unitjava(½ð±Ò+5, ·­ÒëEPI+1): лÁË£¡ 2011-12-01 09:44:18
sltmac(½ð±Ò+5): 2011-12-04 13:35:53
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In this paper, the contextual information could be classified according their function in the retrieval model. Such contextual information is composed of four parts: information queried by the users, information that is used to filter the searching results, information that affects the sorting results and the recommended proper information. For instance, extending the inquiry by using users¡¯ positions means that when a inquiry is submitted at position A, but it was perceived that the user is at position B by GPS facility, then the perceived position would be also used as a keyword to submit to the system. In order to improve the recall rate, the model could use some of the ontology in the data base to extend the searching scope for the users. In fact, the relationship has been defined for the synonyms, antonyms, word upper and word lower. It is possible to combine the correlative words to submit to the query system.
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ÒÑÔÄ   ¹Ø×¢TA ¸øTA·¢ÏûÏ¢ ËÍTAºì»¨ TAµÄ»ØÌû
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