ITE Prelim Quiz Part 1 Mastery

The cost an advertiser pays for each click on the ad

The percentage of people who click on the ad after seeing it

The recommendation system takes into account contextual information such as the _________  the  day, day of the week, and the user's ________ . This helps in offering more relevant recommendations based on the user's ________  situation.

1. Overview how Google's AdWords works in analyzing performance data for advertisers:

Keyword Targeting:  Advertisers select keywords_______  to their products or services. When users  ______  for these keywords on Google, the ads are displayed.

Bid Management:  Advertisers set bids for their chosen keywords, indicating the __________  amount they are willing to pay for a click on  their ad. The bidding process is a crucial aspect of AdWords

1. Overview of how Netflix's content recommendation works:

User Profiling:

Netflix collects extensive data on user______  , including what users watch, when they watch, how long they watch, and even when they pause or rewind______ . This data is used to create_______  user profiles

1. Overview how Google's AdWords works in analyzing performance data for advertisers:

Ad Rank Calculation:

Ad Rank determines the______  of an ad on the search results page. It is_________based on the bid amount, ad quality, and the expected_________of ad extensions.

1. Overview of how Netflix's content recommendation works:

Content-Based Filtering:

The system recommends content based on the user's______  viewing history and preferences. If a user has______ a specific genre, actor, or director, the recommendation system suggests_______  content.

1. Overview of how Amazon's recommendation system works:

Multi-Modal Recommendations:

Amazon's recommendation system is not limited to just______of product. It considers a_______of items, including books, electronics, clothing, and more. It also considers________recommendations, suggesting items that may complement each other.

1. Overview of how Netflix's content recommendation works:

Thumbs Up/Down and Viewing Patterns:

User feedback is actively______  through features like thumbs up or down. Netflix uses this_______  feedback, along with________  feedback from viewing patterns, to refine its recommendations.

1. Overview of how Amazon's recommendation system works:

User Data Collection:

Amazon collects a vast amount of data on each user, including their purchase history, browsing________ , search queries, items______  to the shopping cart, and even how much______  they spend on product pages.