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WorksheetsRecommendation System
Total questions: 10
Worksheet time: 6mins
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?
Ola
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
