METHOD FOR RECOMMENDING INFORMATION ON WETSITES CUSTOMIZED TO CLIENTS' Q AND A BY USING PERSONALIZATION ALGORITHM AND SERVER USING THE SAME

摘要

The present invention relates to a method for providing an optimized site using a personalization algorithm. The personalization algorithm according to the present invention comprises the steps of extracting one or more tags from the purchase history of the first customer group and generating a tag value to form a customer purchase tag table, applying a CDF function to the tag values, and matching them to a predetermined range (predetermined). Projected to a range, forming a site tag table, which is information for each purchase site, from a customer purchase tag table, which is customer-specific information, and a customer question assigned a question tag value based on a response to a predetermined question obtained from a second customer group. Forming a tag table, calculating the similarity between the customer and the site from the tag values in the site tag table and the customer question tag table, and personalizing the site of the high ranking similarity for each customer based on the calculated similarity. Presenting it as a custom site.