Answer:
Collaborative filtering
Explanation:
This is one out of five on the Recommender system apart from most popular items, Association and Market Basket based Analysis, Content-based analysis, self and hybrid analysis where we use both content-based and collaborative based approach together. And the Recommender system is a very important topic in Data science. For this question, remember that Collaborative filtering focuses on user and various other user's choices which are mathematically alike to concerned users, and which we find with the study of a large data set. Thus, we can predict from our above study that what are going to be likes of concerned users, and at the item level, whether that item will be liked by the concerned user or not. And this is prediction, and we use this approach in Machine learning these days. For this question, and as mentioned in question the requirements, answer is Collaborative filtering.
Answer:
C: Dictionary
Explanation:
The Data dictionary stores definitions of information types, identifies the primary and foreign keys, and maintains relationship between elements that are used in the control of access and for manipulating a database. It is usually a set of information that provides the description of a database's format, contents and structure.
I believe the L is for "Least" Least Significant Bit
Probably not, I also don't think it's the best idea either.
Answer:
padna jana ta yarrr kasto this yarr
