Quora Answers

Amit Bhatnagar on Quora.com on February 24, 2012

An excellent resource to begin with is Hal Varian’s book: Information Rules.
You can find this on Amazon here: http://www.amazon.com/Informatio…

The book was published in 1998, and hence some chapters may be a bit dated. But although the software landscape may have changed, most basic rules still remain the same. The book discusses the key elements of software pricing:  versioning, bundling, switching costs etc in detail.

You can also purchase individual chapters that you are interested in. These are available as HBR case studies. But considering that a used edition is available for less than $5, you may want to buy it from Amazon.

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Amit Bhatnagar on Quora.com on February 23, 2012

My schedule was about 1-2 hours in the morning and 1-2 hours in the evening during the weekdays and rigorous studies during the weekend. Also, I tried to write one Full-length test every week (Included AWA only in latter half).

One work-plan that has worked for many of my friends can be found at this link: http://missionmba.net/wordpress/…

This isn’t my prep-schedule. This includes fixes for the mistakes I made while preparing. I know many of my friends and followers of my blog, who followed this work-plan and got 750+ scores.

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Amit Bhatnagar on Quora.com on February 22, 2012

Recommendation-engine basically try to emulate what a human, who knows about your tastes will do. It makes recommendations based on what you have seen and liked. To understand why it “fails”, let us emulate the recommendation engine itself. Here is a hypothetical conversation between you and a friend..

“I have some free time this weekend.. Recommend some good movie.”
“Ok.. What sort of movies do you like?”
“Sci-fi and Fantasy”
“Well.. That’s not very specific.. I have a long list of recommendations, but not really sure whether you’d like it. You may try “Back to the Future” to begin with.. An all time favorite for most of my sci-fi loving friends “
.
.
.
<Few days later>
“How did you like “Back to the Future”?
“I didn’t like it.. I like to see my Sci-fi unadulterated.. So I don’t like movies that try to mix it with comedy”
“Oops! You could have told this before.. Next, I was about to suggest “Men in black”, but now I know that you won’t like it.. Tell me some Sci-Fi movie that you like”
“And I loved “The Terminator” series! Even the later ones, which not many others like!”
“Now, we are talking some specific stuff! I think you like the Man Versus machine theme.. I would recommend “The Matrix” “
.
.
.
<Few days later>
“I loved “The Matrix” Any more suggestions?”
“Of course! I am sure you will like the sequels. Based on what I know about your tastes and my limited sci-fi movie knowledge, those are the only recommendations I have! “
“Well! I saw both the sequels right after the original one.. “
“Sorry! In that case I don’t have any more suggestions.. I know a few Japanese movies on the topic, but I know you don’t watch Japanese “

See what happened in the above conversation. Initially, more information you shared allowed your friend to make very specific suggestions.. But as the friend learned more & more about your tastes and distastes, the list gradually got smaller and smaller, and finally your friend was left with no suggestions.

A recommendation engine would not run out of suggestions so soon,and would have many more dimensions, but overall the model would remain the same.

Initially, it will show a long list based on their first guess for your tastes. With specific information, gradually it would be able to make very good recommendations. But gradually, the list will become smaller and smaller, finally to a point that you have seen almost all the movies that the engine would have suggested. So in my opinion, this may not be exactly a failure of the recommendation engine, it has simply run out of the good movies, as per your taste, that you haven’t seen.

Adding a new dimension to your movie tastes (A new language maybe, as the example suggested) may perhaps expand the list.

BTW, instead of waiting to see whether a particular movie ends up in your recommended list, try the Netflix’s estimated best guess rating for you for that movie. In my case, it has always been very accurate.

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Amit Bhatnagar on Quora.com on February 22, 2012

Amit BhatnagarMy personal take: Use the retweet button if you want to retweet an unmodified version of the original tweet. This gives full credit to the original poster, as to your followers it will appear with his profile pic and Twitter handle. Howe…

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Amit Bhatnagar on Quora.com on February 21, 2012

Amit BhatnagarAs Sten answered above, putting lists is the one way to attain your objective… There is one more way that can resolve your problem: I am assuming that for the users in question, you may be interested in their tweets on some specific to…

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Amit Bhatnagar on Quora.com on February 21, 2012

You don’t need any external tool.. Simply replace the place-holder in the below link with your actual twitter handle and your total tweet count and you will be able to download an XML of all your tweets. After this, open this in any XML viewer, and you will be able to see the list of all your tweets. You can even use MS Excel to view this in a tabular manner..

https: // twitter. com / statuses/user_timeline/ <Twitter-handle>/ xml?count=<Tweet-count>
/* Remove spaces before using the above link */

You can even use this to download tweets of any another user, whose tweets are public.

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Amit Bhatnagar on Quora.com on February 14, 2012

I had a similar Question, but when I didn’t get any answer on how it would work, I went ahead and tried a workaround..

You can find my answer (and some more) here: Amit Bhatnagar’s answer to Is there a way to export the contents of a Facebook group?

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Amit Bhatnagar on Quora.com on February 14, 2012

Amit BhatnagarWork-around: For now, I have implemented a workaround by creating a dummy FB user for the group. I have set all group notifications on for this user, which makes sure that all posts are delivered to the gmail inbox of this user.. Next, I…

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Bryan, The Retweet that you mentioned would not carry any RT/MT
indicators, nor can it be adjusted, as the original poster had
mentioned.. He is referring to the old fashioned retweet (i.e. before
the retweet button came. Some people,including me, continue to use this,
 when they have to add a comment or even a LOL), where you clicked reply
 and added RT manually..
The norm is that in case you left the original tweet intact and any
comment you added are outside of it, you should be using RT. If you
modify the original tweet (maybe to adjust length, or dropping an
irrelevant part), you should be using MT (Modified Tweet), and not RT,
as any Grammar mistake or factual distortion may be attributed to
original tweeter, if RT is used.

The answer, of course, is that many people still don’t know what MT is, and i guess the solution is simply to use this more often, make people google for what it stands for, and gradually, this would become as universal as RT.

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