CS 498: Computational Advertising Homework 6 solved


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2 Question 1 (2 points)
What are the similarities and differences between identifying ads in the contextual ads case
and for web search case?
3 Question 2 (2 points)
What is the difference in click-through rates between contextual ads and web-search ads?
4 Question 3 (6 points)
Please answer the following questions based on the Ribeiro-Neto paper [1] which was discussed in class.
1. What is the impedance mismatch problem discussed in the paper? Explain!
2. How do you solve the impedance mismatch problem?
3. Consider Figure 8 in the paper. Let us look at the line for AAK EXP H. We can see
that for all values of recall, this method gives the higher precision. From the paper,
AAK EXP H stands for match ads and keywords with expanded triggering page, also
considering the page pointed by the ad. Explain why this method gives the highest
5 Question 4 – Behavioral Targeting Exercise using
Facebook Ad Manager (10 points)
This is a two step exercise. In the first step, you will look at the Ad Preferences Profile
that Facebook has created for you and discuss/analyze the accuracy of the profile. In the
second step, you will use the Facebook Ad Manager to create a simple Ad. You will build
an audience for that ad keeping a specific friend in mind. In other words, try to form the
audience for the ad in a way that it includes your friend. Now given your observed accuracy
of a Facebook Ad profile in the first step and the potential size of the audience that you
created, discuss about the probability that your friend will actually see that ad. Specifically,
you need the answer the following two parts.
Part 1: Report on the accuracy of your Facebook Ad Preferences Profile. To
answer this question, you need to do the following steps:
1. Login to your facebook account and then go to the following URL
2. Under the tab Your interests, click on any three categories of your choice like News
and Entertainment, Business and Industry, People etc. Look at the top 20 entries for
each category and report on what fraction of them are accurate i.e. correctly reflect
your interests. Note please do not report the actual entries that Facebook inferred for
you, rather we are only asking you to quantitatively state what percentage of those
entries were accurate.
3. Under the tab Your information, go to Your categories. Look at all the categories
or tags that Facebook inferred for you. Report on what fraction of them are accurate.
4. Discuss qualitatively about the accuracy of your Facebook Ad profile that you observed
in the last two steps. Try to generate insights about the correct and wrong entries in
your profile and what might have triggered these entries.
Part 2: Report what you think the probability is that your target friend will
see the ad. To answer this question, you need to do the following steps:
1. Go to https://www.facebook.com/ads/manager and follow these steps.
• Click Create and choose Select guided creations.
• Click on Create New Campaign
• Select a marketing objective randomly. You can just choose Brand Awareness.
This selection is important when you are running an actual campaign, but not
for this exercise.
• You can keep the default entries for Campaign Budget optimization. Since we will
not be actually launching the campaign, setting this is not required.
• Then click on Set up Ad Account. Here also, just go with the default entries.
• Now we need to specify the Audience.
• Under the tab Create New Audience, we will work specifically with these few
options—Locations, Age, Gender, Languages, Detailed Targeting. Under
Detailed Targeting, you can browse to find three options Demographics,
Interests, Behaviors which further have many sub-options.
• As we specify the different features for the audience, Facebook gives an estimate
of Potential Reach on the right.
2. Now suppose you want to target your ad towards a specific friend. Build an audience
using the features listed above such that there is a high chance that the audience
includes your friend. For example, using the location that your friend lives in can be a
great way to narrow down your audience. As you experiment with different features,
your goal should be to decrease the size of the audience i.e. the value of Potential
Reach, but also ensure that there is a high probability that the audience includes your
friend. Based on your first exercise, you must have noticed that Facebook often makes
wrong inferences for a person. So some feature that you know about your friend and
may have included in your audience, can be missing in the Facebook ad profile of your
friend. In such a case, the audience will exclude your friend. Report on the minimum
potential reach you achieved. Discuss qualitatively whether certain types of feature
were more helpful than others in narrowing down the audience.
3. Now given the accuracy of a Facebook Ad profile that you observed in the first step
and the current audience size that you have, report how likely is it do you think that
the ad will be actually seen by your friend. Explain either way i.e. if you think it is
highly likely, why do you think so? Also, if you think that your friend will probably
not see the ad, give reasons to support that.
[1] Berthier Ribeiro-Neto et al. “Impedance coupling in content-targeted advertising”. In:
Proceedings of the 28th annual international ACM SIGIR conference on Research and
development in information retrieval. ACM. 2005, pp. 496–503.