Title:
PersonalizedRecommendationsEbusiness
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- AI-NN-PR
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- File Size:
- 309kb
- Update:
- 2012-11-26
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- mingxw
Description: To make E- business system actively recommend product s to users according to their interest s , re2
search on E- business recommended systems was firstly described. Concept s , functions and constituent s of E-
business recommended system were briefly int roduced. The technical recommendation standard was given. Six
main recommend technologies such as collaborative filtering recommendation , recommendation based on con2
tent s , population statistics , efficiency , information and rules were mentioned. Advantages and disadvantages of
these above- mentioned technical recommendations were provided. Recommendation evaluation was also int ro2
duced. Hot topics in personalized E- business recommendation research were emphasized. Then , existing prob2
lems on personalized recommendation in China were analyzed. Future research challenges facing E- business
personalized recommendation were presented at last.
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电子商务个性化推荐研究.pdf
