Precise Book Recommendations using Huge Data Sets

Books are essential to our growths. Now a days we are interested in easy methods. The CEO of Joel Spolsky described in an article how we the programmers are behaving towards the question of reading books,

Programmers seem to have stopped reading books. The market for books on programming topics is miniscule compared to the number of working programmers.
Instead, they happily program away, using trial-and-error. When they can’t figure something out, they type a question into Google.

We clearly agree upon the truth of the current situation where people love less reading and achieve more. But deep down, we also know, to get into root of a subject we need to read about it. People who want to read have another problem. The following quote of Frank Zappa will describe it,

“So many books, so little time.”

So, Here the two situations, clearly indicating a problem of precisely choosing the books for having enough confidence and time to read them happily. This problem motivates me to find a way for choosing books meaningfully. The internet is full of data and luckily (thanks to some organizations) some of the huge data set of so popular communities are available freely to analyse. I started collecting those data and fetch them in a meaningful way so we can collect the reference of the books they are talking about.

Please visit :

In next few articles I will describe How I am progressing. I am also looking for free data sets available in the internet so I can analyse them to achieve meaningful paths of books for any specific domain. Please give your valuable feedback and suggestions.