Question

What is the main input needed for using "client based filtering" to make recommendations to a client?

1) User preferences
2) Server location
3) Internet connection speed
4) Client's purchase history

Answer 1

The main input needed for using client based filtering to make recommendations to a client is user preferences.

Step-by-step explanation:

The main input needed for using client based filtering to make recommendations to a client is user preferences.

Client based filtering is a technique used by recommendation systems to personalize recommendations based on user preferences. It takes into account factors such as the items the user has previously liked or interacted with, their ratings or reviews, and their demographic or behavioral data.

For example, if a client has indicated a preference for science fiction movies and has previously purchased or rated movies in that genre, the recommendation algorithm can use this information to filter and recommend similar movies to the client.