1. Classifier for Search Recommendation System
Design a classifier for a search recommendation system that converts user input text into a few of the most relevant search categories. Discuss the approach you would take, referencing the YouTube recommendation algorithm as an example.
2. Classifying Customer Search Queries
During an interview for a customer service team that works on chatbots and handles customer complaints using NLP, you are asked to walk through the machine learning model development process for a case where the task is to classify customer search queries into multiple product categories. How would you approach this problem?
