Topic 1 Question 84
Your company manages an application that aggregates news articles from many different online sources and sends them to users. You need to build a recommendation model that will suggest articles to readers that are similar to the articles they are currently reading. Which approach should you use?
Create a collaborative filtering system that recommends articles to a user based on the user’s past behavior.
Encode all articles into vectors using word2vec, and build a model that returns articles based on vector similarity.
Build a logistic regression model for each user that predicts whether an article should be recommended to a user.
Manually label a few hundred articles, and then train an SVM classifier based on the manually classified articles that categorizes additional articles into their respective categories.
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コメント(10)
- 正解だと思う選択肢: B👍 3hiromi2022/12/18
- 正解だと思う選択肢: B
Answer B
👍 2LearnSodas2022/12/11 - 正解だと思う選択肢: A
"similar to they are currently reading". it should be a collaborative filtering problem
👍 2YangG2022/12/12
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