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分享两个刚刚面试的modeling问题
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分享两个刚刚面试的modeling问题# DataSciences - 数据科学
b*g
1
Display advertising is a billion dollar level effort
and one of the central uses of machine learning on the Internet.
However, its data and methods are usually kept under lock and key.
Amex has a worth of data collected from different channels throughout
customer’s entire web browsing journey.
1) Given a user and the product page he is visiting,
and given that there are five products displayed on this page,
predict which he/she will click on
2) Please also predict a user’s click journey.
Specifically, given a sequence of k clicks, predict the next,
or k+1 click
avatar
f*0
2
1). classification problem. Multinomial logistic regression?
2). markov chain problem. Transition matrix model? or Survival Analysis?
avatar
m*r
3
第二个比较难。 第一个也得看输入都是些什么变量。 如果题目真是amex卖产品, 5张
信用卡让用户选,不觉得和在线广告有什么关系。
在线广告是个bidding process, 你弄个高级算法,算出来比别人晚了两毫秒,就被别
人抢了先了。
avatar
E*e
4
Association rule or one of recommendation algorithms?

【在 b**********g 的大作中提到】
: Display advertising is a billion dollar level effort
: and one of the central uses of machine learning on the Internet.
: However, its data and methods are usually kept under lock and key.
: Amex has a worth of data collected from different channels throughout
: customer’s entire web browsing journey.
: 1) Given a user and the product page he is visiting,
: and given that there are five products displayed on this page,
: predict which he/she will click on
: 2) Please also predict a user’s click journey.
: Specifically, given a sequence of k clicks, predict the next,

avatar
E*e
5
Association rule or one of recommendation algorithms?

【在 b**********g 的大作中提到】
: Display advertising is a billion dollar level effort
: and one of the central uses of machine learning on the Internet.
: However, its data and methods are usually kept under lock and key.
: Amex has a worth of data collected from different channels throughout
: customer’s entire web browsing journey.
: 1) Given a user and the product page he is visiting,
: and given that there are five products displayed on this page,
: predict which he/she will click on
: 2) Please also predict a user’s click journey.
: Specifically, given a sequence of k clicks, predict the next,

avatar
b*g
6
Display advertising is a billion dollar level effort
and one of the central uses of machine learning on the Internet.
However, its data and methods are usually kept under lock and key.
Amex has a worth of data collected from different channels throughout
customer’s entire web browsing journey.
1) Given a user and the product page he is visiting,
and given that there are five products displayed on this page,
predict which he/she will click on
2) Please also predict a user’s click journey.
Specifically, given a sequence of k clicks, predict the next,
or k+1 click
avatar
f*0
7
1). classification problem. Multinomial logistic regression?
2). markov chain problem. Transition matrix model? or Survival Analysis?
avatar
m*r
8
第二个比较难。 第一个也得看输入都是些什么变量。 如果题目真是amex卖产品, 5张
信用卡让用户选,不觉得和在线广告有什么关系。
在线广告是个bidding process, 你弄个高级算法,算出来比别人晚了两毫秒,就被别
人抢了先了。
avatar
E*e
9
Association rule or one of recommendation algorithms?

【在 b**********g 的大作中提到】
: Display advertising is a billion dollar level effort
: and one of the central uses of machine learning on the Internet.
: However, its data and methods are usually kept under lock and key.
: Amex has a worth of data collected from different channels throughout
: customer’s entire web browsing journey.
: 1) Given a user and the product page he is visiting,
: and given that there are five products displayed on this page,
: predict which he/she will click on
: 2) Please also predict a user’s click journey.
: Specifically, given a sequence of k clicks, predict the next,

avatar
E*e
10
Association rule or one of recommendation algorithms?

【在 b**********g 的大作中提到】
: Display advertising is a billion dollar level effort
: and one of the central uses of machine learning on the Internet.
: However, its data and methods are usually kept under lock and key.
: Amex has a worth of data collected from different channels throughout
: customer’s entire web browsing journey.
: 1) Given a user and the product page he is visiting,
: and given that there are five products displayed on this page,
: predict which he/she will click on
: 2) Please also predict a user’s click journey.
: Specifically, given a sequence of k clicks, predict the next,

avatar
s*h
11
Thanks for sharing.
avatar
a*o
12
Obviouly the 1st question is emplying Classfication and the 2nd is applying
Prediction function.
While I don't think the second one is more difficult than that first one.
What's more, NN is much better in terms of the prediction precise and time-
consuming than Markov chain.
There are more advanced algorithms which could be employed here. Please do
research.
avatar
b*g
13
当时秒挂了,谢谢大家的讨论
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