World Academy of Science, Engineering and Technology
Published October 21, 2008 | Version 9411
Journal article Open

A Semantic Recommendation Procedure for Electronic Product Catalog

Description

To overcome the product overload of Internet shoppers, we introduce a semantic recommendation procedure which is more efficient when applied to Internet shopping malls. The suggested procedure recommends the semantic products to the customers and is originally based on Web usage mining, product classification, association rule mining, and frequently purchasing. We applied the procedure to the data set of MovieLens Company for performance evaluation, and some experimental results are provided. The experimental results have shown superior performance in terms of coverage and precision.

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References

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