A Hybrid Approach for New Products Discovery of Cell Phone Based on Web Mining

How to find new products is a challenge issue because of it can bring a new business opportunity for shopkeepers selling online. A hybrid approach for new products discovery of cell phones is adopted to verify the approaches. The participle algorithm and product news extracting algorithm are utilized to analyze the news on website. The selling information on the e-supermarkets is used to find the data and the price for new cell phones selling start. All the cell phone data and news are extracted from different website. The extraction functions coded by PHP and Python languages are designed for implantation the new products discovery extracting. Experiment demonstrates the proposed approach performance and proves the new products discovery is meaningful and useful for the cell phone shopkeepers selling online.

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