Hi,

I am trying to calculate the 'Most helpful' review. I found a solution few days ago on Calculating the "Most Helpful" review

I have a new problem now..

Let's say I have two items. The first item has "480 people found this review helpful among 961 people". The second item has "3 people found this review helpful among 5 people".

first item: 480 people liked it, but 481 people didn't. second item: 3 people liked it, but 2 people didn't.

I personally think that the second item should have higher rank than the first item because more than 50% of people didn't like the first item.

When I use "Lower bound of Wilson score confidence interval for a Bernoulli parameter", I get the following value for the two items.

first: 0.467932469089
second: 0.230724282841

the first item has higher point than the second item.

Is this correct??

Hi,

I am trying to calculate the 'Most helpful' review. I found a solution few days ago on Calculating the "Most Helpful" review

I have a new problem now..

Let's say I have two items. The first item has "480 people found this review helpful among 961 people". The second item has "3 people found this review helpful among 5 people".

first item: 480 people liked it, but 481 people didn't. second item: 3 people liked it, but 2 people didn't.

I personally think that the second item should have higher rank than the first item because more than 50% of people didn't like the first item.

When I use "Lower bound of Wilson score confidence interval for a Bernoulli parameter", I get the following value for the two items.

first: 0.467932469089
second: 0.230724282841

the first item has higher point than the second item.

Is this correct??

Hi,

I am trying to calculate the 'Most helpful' review. I found a solution few days ago on Calculating the "Most Helpful" review

I have a new problem now..

Let's say I have two items. The first item has "480 people found this review helpful among 961 people". The second item has "3 people found this review helpful among 5 people".

first item: 480 people liked it, but 481 people didn't. second item: 3 people liked it, but 2 people didn't.

I personally think that the second item should have higher rank than the first item because more than 50% of people didn't like the first item.

When I use "Lower bound of Wilson score confidence interval for a Bernoulli parameter", I get the following value for the two items.

first: 0.467932469089 second: 0.230724282841

the first item has higher point than the second item.

Is this correct??

Hi,

I am trying to calculate the 'Most helpful' review. I found a solution few days ago on Calculating the "Most Helpful" review

I have a new problem now..

Let's say I have two items. The first item has "480 people found this review helpful among 961 people". The second item has "3 people found this review helpful among 5 people".

first item: 480 people liked it, but 481 people didn't. second item: 3 people liked it, but 2 people didn't.

I personally think that the second item should have higher rank than the first item because more than 50% of people didn't like the first item.

When I use "Lower bound of Wilson score confidence interval for a Bernoulli parameter", I get the following value for the two items.

first: 0.467932469089
second: 0.230724282841

the first item has higher point than the second item.

Is this correct??