module 1 Flashcards
what is the significance of personalized product recommendations during the cart phase in e commerce?
B : to elevate the average order value without compromising conversion rates
what do recommender systems primarily use to suggest products?
C: user data such as preferences and reviews
which type of recommendation algorithm suggests products based on the behavior of similar users?
B: user based
what approach does sentiment analysis utilize to inform recommendations?
B: natural language processing
which type of recommendation strategy does Amazon use to suggest items related to browsing history and past purchases?
C: a hybrid of collaborative and content based approaches
which algorithm does Netflix use for personalized viewing suggestions ?
D: B and C
which recommendation system predicts items based on user similarity?
C: collaborative filtering
what is one of the disadvantages of faceted navigation when compared to simple filters?
C: more expensive to create and maintain
what must existing and future content have for faceted navigation to work effectively?
C: metadata applied for each facet
what does personalized dynamic navigation help to create?
B: a contextually relevant browsing experience
what does faceted navigation allow users to do?
B: refine search results through multiple criteria simultaneously
how does dynamic navigation contribute to the users digital experience?
C: by making the search and navigation process more intuitive and efficient
how does AI enhance keyword search in e-commerce?
C: by returning precise product matches from the catalog
what additional capability does semantic understanding provide in e-commerce search?
B: it matches products based on semantic meaning beyond just keywords
what does “Automatic Relevance Tuning” accomplish?
B: reorders products based on factors like popularity and user context