Select the examples, where Recommendation Algorithm works? [Multiple Answers]

• Google Classroom

• Amazon

• YouTube

• NetFlix

Which of the following businesses would be least likely to use Recommendation Engine?

• Facebook

• Ola

• WhatsApp

• Instagram

Explicit data is something which ecommerce websites and other businesses specifically ask from the users.

• TRUE

• FALSE

implicit data is collected through users' behaviour on the website.

• TRUE

• FALSE

For an ecommerce website, which of the following is explicit data?

• Amazon's Star rating system

• Page views

• Thumbs up/Thumbs down

• No. of clicks on a page/website

Which of the following are not used for filtering in a Recommendation Engine?

• Sine Similarity

• Cosine Similarity

• Jaccard Similarity

• Euclidean Distance

Which of the below is collaborative filtering based Recommendation Engine?

• Items inspired by your history

• Items which customers like you, viewed earlier

What kind of information does a Recommendation Engine need for effective recommendations?

• Users' explicit interactions such as information about their past activity, ratings, reviews

• Users’ implicit interactions such as device they use for access, clicks on a link, location, and dates

• Other information about profile, such as gender, age, or income levels

• All of the above

Why are recommendation engines becoming popular?

• It is mandatory to have recommendation engine as per telecom rules

• Users have lesser time, more options and face an information overload

• It is better to recommend than ask user to search on mobile phones

• Users don't know what they want

_________ methods work fine for thousands of users, but ________ gets to be a problem when we have millions of users.

• User-based recommendation, Scalability

• item-based recommendation, Scalability

• item-based recommendation, Sparsity