Compsci 101, Recommender

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This exercise is for collaborative work during class. Do not fill out early!

Consider a part of the movie data file for Recommender. Each recommendation is on three lines. The first line is the rater, the second line is the title of the movie rated, and the third line is the rating. The rating is one of the numbers: -5, -3, -1, 1, 3, 5

student1398
She's Out of My League
1
student1321
The Simpsons Movie
1
student1338
Kill Bill: Vol. 2
1
student1364
Avatar
3
student1205
The Tourist
5
...

How does one process a datafile when three lines of data represent one item (such as one rating with the information of a customer, movie title and their rating)? *

Read the lines into one list called everything, then create three parallel lists: a = [i for (i,x) in enumerate(everything) if i%3== 0], b=[i for (i,x) in enumerate(everything) if i%3 == 1 ] and c=[i for (i,x) in enumerate(everything) if i%3 == 2 ]

Use a counter to count the lines and recognize when a line is a multiple of 3, or a multiple of 3 with one remaining, or a multiple of 3 with two remaining

Read the datafile twice, once to get the rater and the second time to get the ratings.

Read the datafile into a big list, then process it twice, once to get the movie titles and the second time to get the raters and their ratings.

Required

Consider the restaurant data file for Recommender. One line represents a rater followed by several lines that rate a restaurant by that rater. Each of those lines has a restaurant in parenthesis followed by a rating in parentheses. More raters and their ratings follow. A rater may not rate every restaurant. Note that restaurants are always one word. Raters may be more than one word.

Sarah Lee
(DivinityCafe)(3)
(IlForno)(3)
(TheSkillet)(-3)
(LoopPizzaGrill)(3)
(FarmStead)(3)
(Tandoor)(5)
(PandaExpress)(-3)
Melanie
(McDonalds)(1)
(Tandoor)(3)
(DivinityCafe)(5)
(TheCommons)(3)
(TheSkillet)(1)
(IlForno)(3)
(PandaExpress)(3)
J J
(TheSkillet)(1)
(McDonalds)(1)
(LoopPizzaGrill)(-1)
(Tandoor)(3)
(FarmStead)(1)
(PandaExpress)(1)
Sly one
(TheCommons)(3)
(Tandoor)(3)
(DivinityCafe)(5)
(TheSkillet)(3)
(IlForno)(1)
(LoopPizzaGrill)(3)
Sung-Hoon
(LoopPizzaGrill)(5)
(McDonalds)(1)
(Tandoor)(-3)
(IlForno)(-1)
(TheSkillet)(-3)
(FarmStead)(-1)
(PandaExpress)(3)
(TheCommons)(1)
Nana Grace
(IlForno)(3)
(LoopPizzaGrill)(-5)
(DivinityCafe)(5)
(McDonalds)(-1)
(TheCommons)(3)
(Tandoor)(1)
Harry
(McDonalds)(-3)
(TheCommons)(5)
(DivinityCafe)(5)
(FarmStead)(3)
(TheSkillet)(1)
(LoopPizzaGrill)(-1)
(PandaExpress)(-5)
Wei
(FarmStead)(1)
(McDonalds)(-1)
(DivinityCafe)(1)
(LoopPizzaGrill)(3)
(TheCommons)(3)
(Tandoor)(5)

How does one process one rater in the file whose recommendations are spread over an undetermined number of lines of ratings. *

Split the string of title and rating on ")("

Split the string of title and rating on blank

Use a while loop

Use a for loop

Check the line for starting with a (

Check the line to see if there is a number on it

Required

Consider the list of restaurants and dictionary you must build for the restaurant data

How do you get the data above into the format below?

List of restaurants

Dictionary of rater to list of ratings

First create a dictionary of restaurants mapped to a list of the customers who have rated it, then use that dictionary to create the dictionary above.

The initial value in the dictionary should be a list with one 0, then append the numbers of other ratings as you come across them

Process the data twice. The first time compute the unique list of restaurants. The second time then create the dictionary.

Create two parallel lists, one is a customer and the other is a list of ratings of restaurants for that customer. Then use these two lists to build the dictionary.

Names and Netids below

Names (comma separated) *

netid *

netid (partner)

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