Endeavor - Building the Perfect Playlist

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

• correlative filtering

• collaborative filtering

• content-based filtering

• competitive-based filtering

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

• correlative filtering

• collaborative filtering

• content-based filtering

• competitive-based filtering

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

• Offline recommendation systems

• Digital algorithms

• Online filtering systems

• Online recommendation engines

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

• Rating a favorite movie on a digital streaming site.

• Searching for an item using a search engine.

• Purchasing a new t shirt from an online retailer.

• All of the above

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

• Meta tags are

• User profiles are

• Private browsing data is

• User data is

_________ is information that is __________ a particular individual.

• User data; created about

• User data; forgotten by

• Data filtering; recommended by

• Data filtering; created by

What is a meta tag?

• Meta tags are way of filtering items online so that you only see the items that connect to your interests.

• Meta tags are large amounts of data that websites collect from their users.

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

• None of the above

Where might you find recommendation engines at work?

• Suggesting a new song you might enjoy on a streaming music site.

• Providing new movies you might enjoy based on titles you liked.

• An online advertisement for a video game you recently read about in a blog post.

• All of the above

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

• Collaborative filtering

• Content-based filtering

• An online engine

• An algorithm

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.

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

• An online recommendation engine is a way of tracking a user's online behavior and deciding what similar products and content they might like based on their offline behavior.

• Both A and C