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:
packet ìs the correct answer
Answer: True
Explanation:
A directory partition is a partition that contains active directory objects, which is part of the forest's Domain Name System (DNS) namespace, and is replicated among domain controllers (DCs).
It is a contiguous portion of the overall directory that has independent replication scope and scheduling data. A directory partition is also known as naming context.
Entities and the relationships among entities. The database stores both specify data as well as all the metadata that defines the realtionships between the various packets of data(entities). This could mean programs able to open files, or files that are executable or the last time a file was opened.
