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Titlebook: Web Information Systems Engineering – WISE 2007; 8th International Co Boualem Benatallah,Fabio Casati,Claude Godart Conference proceedings

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樓主: ARSON
41#
發(fā)表于 2025-3-28 17:23:40 | 只看該作者
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47#
發(fā)表于 2025-3-29 17:49:11 | 只看該作者
Similarity-Based Document Distribution for Efficient Distributed Information Retrieval are distributed among nodes in a manner that allows a query processing algorithm to efficiently direct queries to those nodes that contribute to the result. Existing term-based document distribution algorithms do not scale with large collection sizes or many-term queries because they incur heavy ne
48#
發(fā)表于 2025-3-29 23:33:41 | 只看該作者
Similarity-Based Document Distribution for Efficient Distributed Information Retrieval are distributed among nodes in a manner that allows a query processing algorithm to efficiently direct queries to those nodes that contribute to the result. Existing term-based document distribution algorithms do not scale with large collection sizes or many-term queries because they incur heavy ne
49#
發(fā)表于 2025-3-30 00:32:56 | 只看該作者
BEIRA: A Geo-semantic Clustering Method for Area Summarybeen widely used to search web contents. As LBC increase, browsing a number of LBC which are viewed as POI (point of interest) on a geographical map becomes inefficient. We tackle this issue by using AOI (area of interest) instead of POI. With the AOI a user can instantly find area characteristics w
50#
發(fā)表于 2025-3-30 05:58:41 | 只看該作者
BEIRA: A Geo-semantic Clustering Method for Area Summarybeen widely used to search web contents. As LBC increase, browsing a number of LBC which are viewed as POI (point of interest) on a geographical map becomes inefficient. We tackle this issue by using AOI (area of interest) instead of POI. With the AOI a user can instantly find area characteristics w
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