E‐Commerce Recommendation Technology Based on Collaborative Filtering Algorithm and Mobile Cloud Computing
Lou Feng · Wireless Communications and Mobile Computing · 2022
Personalized recommendation technology, as one of the core technologies of an E‐commerce platform, has attracted a lot of attention with the rise of E‐commerce in the Internet industry. Mobile cloud computing‐based E‐commerce has also exploded in popularity. You can buy whatever you want without leaving the house. Consumers are becoming increasingly receptive to online shopping as a result of this convenience; the E‐commerce model demonstrates great modern business value. With its convenient and quick characteristics, online shopping has become fashionable and trendy; however, the popularity of the Internet and the rapid development of E‐commerce has resulted in information overload, making it difficult for users to find the goods they require among a vast amount of product information. As a result, the E‐commerce recommendation system was born. However, there is currently very little in‐depth research on personalized recommendation technology in the field of o2o E‐commerce, and most existing recommendation algorithms need to be improved in terms of accuracy and recommendation efficiency.