You want to design a recommendation system for an online bookstore that has been launched recently. The bookstore has over 1 million book titles, but its rating database has only 10,000 ratings. Which of the following would be a better recommendation system? a) User-user collaborative filtering b) Item-item collaborative filtering c) Content-based recommendation. justify your answer

You want to design a recommendation system for an online bookstore that has been launched recently. The bookstore has over 1 million book titles, but its rating database has only 10,000 ratings. Which of the following would be a better recommendation system? a) User-user collaborative filtering b) Item-item collaborative filtering c) Content-based recommendation. justify your answer

COMPREHENSIVE MICROSOFT OFFICE 365 EXCE

1st Edition

ISBN:9780357392676

Author:FREUND, Steven

Publisher:FREUND, Steven

Chapter11: User Interfaces, Visual Basic For Applications (vba), And Collaboration Features

Section: Chapter Questions

Problem 5EYW

See similar textbooks

Similar questions

In what ways are you able to restrict people's views?
Q1- You have been tasked with designing structured overview explanations for an on-line consumer electronics retailer. The recommender system is built using the collaborative filtering approach. The inventory consists of several items, each with several features, e.g, price, weight, battery life and so on. You have logs containing virtually any possible information of (any) user activity. Your goal is to use them to select a small number of relevant features which will be used for presentation. Describe your solution.
of boou ed nso atongsm 1611 oqovq tond s stW 190mun ert an nstiog due to bnild onbe aud pOm 5) Suppose you want to know whether a new dating app helps you find a better matched significant other. Suppose that you have 60 volunteers (30 Males and 30 Females) who are currently not in a relationship but wish to be so. Design a study (Make a block diagram) to answer the question: "Does the new dating app help one find a more compatible match than no dating app?" selesunT 0oitelugoq erh to 1sdmem yavs mol noltsmotni zlsg zuenso A noisluqoq ortt lo toedua 19qo1g 6 moil noiteTriolni z19g algnsz A equ tom 1o Wt.otnl.aoltslugogar noiineq uoy ow ai elgmaz beitbse A quong rlass mon stqmea mobnsY B Sst nod bas neitup raset910 19wane of 2lsae tarts ybute yns ai tnsmitaqxs nA wooldue lotnemnhaqxe adi son aerlanea01 ort varition yhute bnild elduob & nl mamted ed gvissen aleublvioni lairtw won
Design a recommendation system for an e-commerce platform that suggests products to users based on their browsing history and purchase behavior. The recommendation system should utilize collaborative filtering to generate personalized recommendations for each user. Requirements: 1. Implement collaborative filtering to analyze user-item interactions (browsing history, purchases). 2. Use a similarity metric (e.g., cosine similarity, Pearson correlation) to measure the similarity between users or items. 3. Provide recommendations for each user based on their similarity with other users or items. 4. Evaluate the performance of the recommendation system using appropriate metrics (e.g., precision, recall, F1-score).
What picture do you have in your head when you think about e-mail? When a message is sent, how does it get to the person who is supposed to receive it? Make a note of all of the information you've gathered thus far. What are the differences, and why are they important to understand? Consider the degree of detail (or the level of abstraction) that various types of models possess in comparison to one another.
What image of e-mail do you have in your mind? How does a message travel to its intended recipient after it is sent? Make a mental note of all you've learned. What are the differences and why do they exist? Consider the level of complexity (or abstraction) that various types of models contain.
To what end is the Model-View-Controller (MVC) pattern put to use when developing web apps? Is there a method to take use of MVC's strengths?
What is your opinion about emailing? How does an email go from point A to point B? Be certain to give yourself credit for comprehension. What exactly is a distinction, and why is it so crucial? Examine the level of detail in each model (or abstraction).
Discuss the challenges of keyword intent analysis in personalized search and recommendation systems.
Answer questions 1 to 2 based on the following case study. Betty wants to borrow books using a Public Library App. As a borrower, she needs to register to the app by providing her name, matriculation number, and address. Upon registration, she has to log in to borrow books. Meanwhile, a donor does not need to register an account and log into the app. The donor can donate books by giving information about the books. The donor has the option to print their donation record. 1- What are the most suitable use cases for Public Library App? a. register as borrower, login, borrow book, donate book, print donation record. b. provide name, provide matriculation number, provide address, click register, login, give book information, click donate, print donation record. c. provide name, provide matriculation number, provide address, login, give book information, borrow book. d. register as borrower, login, borrow book, donate book, print donation record, give book name, give textbook quantity,…
Is there anything you've already developed an opinion about email? What is the route taken by a message when it travels from one site to another? Make a list of everything you've learned thus far. To begin with, why are there so many differences? Consider the varied degrees of detail (or abstraction) in various models.
A ride sharing app has decided to promote a new category of cab drivers by tweaking the app so that customers are first prioritized to these set of drivers before others. However, they decide to make a full disclosure regarding this to their customers at the time of accepting the booking. Cab drivers have a right to reject a rider, but a small penalty is levied on customers through a small additional charge for accepting a cab from a different category.What are the key ethical issues that you anticipate? If you were working for the ride sharing app, would you have handled this requirement differently?