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.
Microsoft.././/.//././././././.
Answer with Explanation:
"Planning" plays a crucial role before starting any business. If you've decided to start a vegetable farm business, <em>then you better plan ahead</em>.
Vegetables are "perishable," which means<em> it is easy for them to get spoiled</em>. Thus, you have to consider many things such as: <u>what kind of crops to sell, where to sell them, what season you're going to sell them and how much you are going to sell them</u>.
Choosing the kind of crop depends on <em>whether you'll be requiring intensive labor or not.</em> Although the former means more profit, <u>it will require more capital.</u> Knowing your target market is essential. For example, if your target are health-conscious people, then you have to go for organic vegetables. Determining the season to sell the vegetables will allow you to price them accordingly. Lastly, you have to know how much you're going to sell your vegetables<u> in order for you to have an idea of the profit you're going to make.</u> This will also allow you to budget your money.
B.constructor I think that’s the answer
