A retail store wants to recommend products to customers based on their purchase history. They want to find products that other customers with similar purchase histories have bought. Which algorithm is apt for this recommendation system?
- Apriori Algorithm
- Collaborative Filtering
- Linear Regression
- Principal Component Analysis (PCA)
Collaborative Filtering is ideal for recommending products based on user behavior and finding items preferred by users with similar purchase histories. It leverages user-item interaction patterns for recommendations.
Loading...
Related Quiz
- A company wants to develop a chatbot that learns how to respond to customer queries by interacting with them and getting feedback. The chatbot should improve its responses over time based on this feedback. This is an application of which type of learning?
- Deep Q Networks (DQNs) are a combination of Q-learning and what other machine learning approach?
- Which evaluation metric would be least affected by a large number of true negatives in a dataset?
- In deep learning, ________ refers to the concept of using a model trained on a large dataset and adapting it to a specific task.
- In which algorithm is the outcome determined based on a majority vote from its neighbors?