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Question 1

Assuming each web-page uses an average of a few megabytes (

106 $10^6$ bytes) of data, what is your estimate of the storage (in bytes) consumed by the

indexed $indexed$ web of around 50 billion pages as we have estimated?

a few terabytes (where a terabyte is

1012 $10^{12}$ bytes)

many thousands of gigabytes (where a gigabyte is

109 $10^{9}$ bytes)

many exabytes (where an exabyte is

1018 $10^{18}$ bytes)

a number with at least 15 digits

Question 2

A search index allows us to

efficiently compare any two documents for similarity

rank the results of a query and show the most important or popular documents first

crawl the web by following hyperlinks to retrieve a large number of web-pages

efficiently determine which documents contain a particular word

Question 3

properly ranking (or ordering) search results is important because (check all that apply)

better ranking makes search more intuitive and useful

related documents should be clubbed together when displaying search results

we cannot use SQL on web-pages

users do not want to scroll down thousands of pages to find what they want

Question 4

which of the following appear true about the relationship between human memory and web-search (check al that apply)

some experiments indicate that page-rank works on semantic nets of word-associations

web-search can re-construct a document by combining many partial matches just as human memory can re-construct an image albeit imperfectly

human memory's recall is approximate, whereas web-search returns complete documents

web-search teaches us nothing about human memory, even what it is not

Question 5

which of the following are true regarding web-search vs. enterprise search (check all that apply)

many techniques that work well in web-search might not work for enterprise search

ranking in enterprise search is much easier than web-search

enterprise search remains an active area of research

it is easy to rank results by their importance while searching text documents in an enterprise or on one's desktop

In accordance with the Coursera Honor Code, I (Anonymous Student) certify that the answers here are my own work.

You cannot submit your work until you agree to the Honor Code. Thanks!

Web Intelligence and Big Data

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