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All Blog Posts Tagged 'engine' (6)

How to build a search engine: Part 3

 

This post is the third part of the multi-part series on how to build a search engine –

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Added by Vivek Kalyanarangan on December 30, 2016 at 6:00am — No Comments

How to build a search engine - Part 2: Configuring elasticsearch

This post is the second part of the multi-part series on how to build a search engine –

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Added by Vivek Kalyanarangan on December 23, 2016 at 10:30am — No Comments

Building an end-end search engine

"Information is the oil of the 21st century, and analytics is the combustion engine" Peter Sondergaard, SVP, Gartner Research

In analytics, we retrieve information from various data sources; it can be structured or unstructured. The biggest challenge here is to retrieve information from unstructured data mainly texts. Here machine learning comes into the picture to overcome this challenge. Different algorithms have been designed in different platforms…

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Added by Vivek Kalyanarangan on September 9, 2016 at 8:30am — No Comments

New book on social media analytics

I am pleased to announce my new book on social media analytics. The book offers concepts, tools, tutorials, and cases studies to understand and analyze the seven layers of social media data, including text, actions, networks, apps, hyperlinks, search engine, and location…

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Added by Dr. Gohar Khan on July 6, 2015 at 7:14pm — No Comments

Build basic recommendation engine using R

In our day to day life, we come across a large number of Recommendation engines like Facebook Recommendation Engine for Friends’ suggestions, and suggestions of similar Like Pages, Youtube recommendation engine suggesting videos similar to our previous searches/preferences. In today’s blog post I will explain how to build a basic recommender System.…

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Added by suresh kumar Gorakala on June 5, 2014 at 10:55pm — No Comments

Making Davenport’s "Competing on Analytics" real, and in real-time for data-savvy leaders?

In their Harvard Business School Press book “Competing on Analytics: The New Science of Winning,” published in February of 2007 Thomas H. Davenport and Jeanne G. Harris discuss three things as the basis of competition: efficient and effective execution, smart decision making, and the ability to wring every drop of value from business processes—all of which can be gained through sophisticated use of analytics. They argue that the frontier for using data to make decisions has shifted… Continue

Added by Ronald J. Ramos on April 22, 2009 at 12:32pm — No Comments

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