Abstract
Product recommendations, e-commerce personalization Part of the strategy is the customer Attributes, browsing behavior or contextual context based on data such as web page, application or products change to a user via email Categorize by category—offers a personalized shopping experience. The top 4 trusted sources for referrals are a close friend, family member, brand advocate, and product Expert. peer-to-peer rather than celebrity endorsement; Peer referrals 20 times more valuable. 49% make referrals because they want to help people. Estimation Based on the distance from the mean solution (EDAS). A new and efficient MCDM method. In this method alternatives are selected from the average solution Determined based on their distance. Alternative: Picture (C1), Zoom (C2), Battery (C3), and Memory (C4). Evaluation Preference: Camera (A1), Camera (A2), Camera (A3), Camera (A4), Camera (A5), Camera (A6). From the result it is seen that Camera (A5) and is got the first rank whereas is the Camera (A3) got is having the lowest rank. The value of the dataset for Product recommendations in EDAS method shows that it results in Camera (A5) and top ranking.
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