Building the Perfect Playlist

Which of the following statements about collaborative filtering is TRUE?

With collaborative filtering, users receive recommendations for items liked by similar users.

Which of the following statements about collaborative filtering is FALSE?

With collaborative filtering, users will receive recommendations for items that are similar in type to items they already like.

Which of the following statements about content-based filtering is FALSE?

With content-based filtering, users receive recommendations for items liked by similar users

________ is a set of algorithms that uses past user data and similar content data to make recommendations for a specific user profile.

A recommendation engine

Where might you find recommendation engines at work?

A. Suggesting a new song you might enjoy on a streaming music site and An online advertisement for a video game you recently read about in a blog post

With _________, users will receive recommendations for items liked by similar users.

collaborative filtering

Kara, Darrell, and Jose all enjoy watching comedies online. Kara and Jose also enjoy watching dramas. Using content-based filtering, what might a recommendation engine suggest Darrell watch next?

A comedy

Kara, Darrell, and Jose all enjoy watching comedies online. Kara and Jose also enjoy watching dramas. Using collaborative filtering, what might a recommendation engine suggest Darrell watch next?

A drama

Eva, Corinne, and John all enjoy listening to pop music online. Eva and John also listening to dance music. Using content-based filtering, what might a recommendation engine suggest Corinne listen to next?

A pop song

Which of the following statements about online recommendation engines is TRUE?

An online recommendation engine is a set of algorithms and Online recommendation engines use past user data and similar content data to make recommendations for a specific user profile.

Where might you find recommendation engines at work?

All of the above

Which of the following actions might contribute to recommendations you see online?

All of the above

Which of the following scenarios might use a recommendation engine?

All of the above

Which of the following actions do NOT contribute to recommendations you see online?

All of these actions contribute to recommendations you see online.

_________ is a specific set of instructions or steps used to solve a particular problem.

An algorithm

Which of the following statements about algorithms is TRUE?

An algorithm is a specific set of instructions or steps used to solve a particular problem.

Online recommendation engines typically are based on:

Collaborative and content based filtering

_______ information that is created about a particular individual whenever they are online.

User data is

What is user data?

User data is information that is created about a particular individual.

_________ is information that is __________ a particular individual.

User data; created about

Which of the following statements about meta tags is TRUE?

Websites and software applications use meta tags to provide more information about their content and products.

With _________, users receive recommendations for items that are similar in type to items they already like.

content-based filtering

What is an algorithm?

A specific set of instructions or steps used to solve a particular problem

Which of the following statements about recommendation engines is FALSE?

An online recommendation engine is a set of search engines that uses competitive filtering to determine what content multiple similar users might like.

What is an online recommendation engine?

An online recommendation engine is a set of software algorithms that uses past user data and similar content data to make recommendations for a specific user profile.

Which of the following statements about meta tags is TRUE?

Meta tags are snippets of text that describe the content of a page or object

What is a meta tag?

Meta tags are snippets of text that describe the content of a page or object.

___________ are typically based on algorithms that are comprised of content-based and collaborative filtering techniques.

Online recommendation engines

Which of the following actions might contribute to recommendations you see online?

Rating a favorite movie on a digital streaming site and Purchasing a new t shirt from an online retailer.

Which of the following statements about content-based filtering is TRUE?

With content-based filtering, users receive recommendations for items that are similar in type to ones they already like.