Computer Science ›› 2013, Vol. 40 ›› Issue (12): 219-222.

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Incremental Collaborative Filtering Algorithm Based on GridGIS

DI Jia-qi and WANG Ni-hong   

  • Online:2018-11-16 Published:2018-11-16

Abstract: Wide application of spatial data requires an efficient system to manage the recommendation in order to increase the availability of spatial data.Extensive application of spatial data requires an efficient framework to manage,in order to increase the availability of spatial data.Grid geographic information system (GridGIS) supports rapid spatial data retrieval,allowing users to transparently access data at any time in any place.Traditional similarity algorithm is mathematically very rigorous,has somewhat less usefulness and lacks data support.The experiment proves that algorithm in spatial data sets than the traditional method has better prediction performance and operating efficiency.

Key words: GIS,Grid computing,GridGIS,Collaborative filtering,Incremental algorithm

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