12. Video + Quiz: Collaborative Filtering & Content Based Recs
Types Of Collaborative Filtering
Collaborative Filtering and Content Based Recommendations
Collaborative filtering is a method of making recommendations based only on the interactions between users and items.
Alternatively, content based recommendations are when we use information about the users or items to assist in our recommendations.
QUIZ QUESTION::
For each of the scenarios below, match the type of recommender that is being implemented.
ANSWER CHOICES:
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Situation |
Recommender |
|---|---|
From a drop down menu Natasha chooses that she is only interested in purchasing items located in Wisconsin. This is an example of a … |
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An ad agency noticed that Erica was reading about robotics, and therefore, found additional robotics items she might like. This is an example of a … |
|
We know that Pradeep and Mike both have similar tastes in books. If we recommend a book Mike has read to Pradeep, this is an example of a… |
SOLUTION:
|
Situation |
Recommender |
|---|---|
|
We know that Pradeep and Mike both have similar tastes in books. If we recommend a book Mike has read to Pradeep, this is an example of a… |
|
|
From a drop down menu Natasha chooses that she is only interested in purchasing items located in Wisconsin. This is an example of a … |
|
|
An ad agency noticed that Erica was reading about robotics, and therefore, found additional robotics items she might like. This is an example of a … |