Exam Professional Machine Learning Engineer topic 1 question 84 discussion

Went with B

Went with B

https://cloud.google.com/blog/topics/developers-practitioners/meet-ais-multitool-vector-embeddings Answer B

Currently reading is the keyword here. Going to need B for that, A won't work since it would be based on e.g. all reading history and not the article currently being read.

Option A, creating a collaborative filtering system, may not be ideal for this use case because it relies on user behavior data, which may not be available or sufficient for new users or for users who have not interacted with the system much. Option C, building a logistic regression model for each user, may not be scalable because it requires building a separate model for each user, which can become difficult to manage as the number of users increases. Option D, manually labeling articles and training an SVM classifier, may not be as effective as the word2vec approach because it relies on manual labeling, which can be time-consuming and may not capture the full semantic meaning of the articles. Additionally, SVMs may not be as effective as neural network-based approaches like word2vec for capturing complex relationships between words and articles.

word2vec can easily get similar articles, but the collaborative filter isn't sure well.

B https://towardsdatascience.com/recommending-news-articles-based-on-already-read-articles-627695221fe8

Answer B

Collaborative looks at the other users, knowledge-based at me.Answer B is the most knowledge based, among these.

"similar to they are currently reading". it should be a collaborative filtering problem

Answer B