UIUC University Coursera Course text retrieval and Search Engines:week 4 Quiz_uiuc University

Week 4 Quizhelp Center

Warning: the hard deadline has passed. You can attempt it, But you won't get credit for it. You are are welcome to try it as a learning exercise. In accordance with the Coursera Honor Code, I  certify This answers here are I own work. Question 1 Which of the following is  not true about GFS? The GFS keeps multiple replicas of the same file chunk. The file data transfer happens directly between the GFS client and the GFS chunkservers. The file data transfer happens directly between the GFS client and the GFS master. Question 2 MapReduce allows parallelizing the creation of the inverted index. False True question 3 in MapReduce, the "Reduce function is" called for each unique key to the output key-value pairs from T He Map function. True False Question 4 Which of the following would cause a Web page P to have a higher PageRank? Add to another page Q a link so points to page P Add to page p a link that points to another page Q question 5 when usin G The LeArning to rank framework for combining multiple features into a ranking function, training data composed of queries and re Levance judgments is needed to learn the model parameters. True False question 6 Information filtering systems are more suitable to help users satisfy long-term information needs th An short-term ad hoc information needs. True False question 7 in content-based filtering, the item is recommended to a user based on whether other "similar" users Like the item or not. True False Question 8 Imagine If the Web is fully connected with N pages such this for any pair of pages, P and Q, there E Xists a link from P to Q, then which of the following is true? At least one page would have a PageRank score larger than. All the pages would have a PageRank score of 1/n. At least one page would have a PageRank score smaller than. 1/n 9 the question memory-based collaborative HM cannot predict the rating of "an object" has not received any rating to any user. TrueFalse question content-based filtering and collaborative filtering can be combined in a recommender system. False True