What and where to read about the algorithms for determining interest(s) of users?

Good day to all.

Maybe someone faced with the materials (books / articles / reviews) that describes the algorithms and/or approaches to the characterization of user's interests on the basis of fuzzy data (e-mails / phone calls (voice) / may, for example, on the basis of log any / lap contacts / etc)?

A lot of marketing information on this topic from the "Big Data is urgent", it helped someone to increase sales / to catch employees stealing / improving logistics, etc.

But here's information on the used algorithms, methods, and so on — as it is very little. Mostly mention of end use technologies (such as MapReduce, BigTable implementations, etc.). Regarding the algorithms, I like that not found. Can you tell me where to look?
October 3rd 19 at 04:21
3 answers
October 3rd 19 at 04:23
Can you recommend a book where the examples in Python e covers similar issues:
"The programmed hive mind." Toby Segaran — though not quite
sure that You exactly asked.
Thanks, anyway I will try to find and see what is there. - bernadine commented on October 3rd 19 at 04:26
October 3rd 19 at 04:25
I'm doing a similar task, with the difference that the analysis preference is for a Dating service. Party application to calculate the spammer offers different services... i.e. whose purpose is NOT to meet you.

Each user has some indicators (we have more than 50). Information is collected at each step of polzovatelya of finding the site. Next, we scrolled through the data statistics, and identify the clusters of users. Abnormal users "pagecity", those whose distance in n-dimensional space with more than two medians of the cluster.

What are the clustering algorithms use? - bernadine commented on October 3rd 19 at 04:28
October 3rd 19 at 04:27
I think that the next book also may be useful for you: Algorithms of the intelligent web. Advanced m...

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