Research Article

RETRACTED: Implementation of Key Technologies for a Healthy Food Culture Recommendation System Using Internet of Things

Table 1

Advantages and disadvantages of recommendation algorithms.

Recommendation algorithmAdvantageShortcoming

Content-based recommendation algorithmNo need for users to access historical data, no storage in new objects and sparse problems, with mature classification learning supportLimited by feature extraction methods, there are new user questions and poor scalability, and training requires a large amount of data and high repetition rate of recommendation results
Collaborative filtering recommendation algorithmWithout user rating data, it is easy to find users’ new interest points, and the increase of the number of users can improve the recommendation effectThere are sparse and cold-start issues, and poor scalability, and the quality of recommendations is limited by historical data sets
Combined recommendation algorithmThe combination of the two methods effectively improves the recommendation effectThere are some challenges and difficulties in processing multi-source heterogeneous auxiliary information such as text and image