
As we use the Web for social networking, shopping, and news, we leave a personal trail. These days, linger over a Web page selling lamps, and they will turn up at the advertising margins as you move around the Internet, reminding you, tempting you to make that purchase. Search engines such as Google can now look deep into the data on the Web to pull out instances of the words you are looking for. And there are pages that collect and assess information to give you a snapshot of changing political opinion. These are just basic examples of the growth of "Web intelligence", as increasingly sophisticated algorithms operate on the vast and growing amount of data on the Web, sifting, selecting, comparing, aggregating, correcting; following simple but powerful rules to decide what matters. While original optimism for Artificial Intelligence declined, this new kind of machine intelligence is emerging as the Web grows ever larger and more interconnected.Gautam Shroff takes us on a journey through the computer science of search, natural language, text mining, machine learning, swarm computing, and semantic reasoning, from Watson to self-driving cars. This machine intelligence may even mimic at a basic level what happens in the brain.
This book investigates how the convergence of massive data sets and sophisticated algorithms creates a new form of machine intelligence that powers modern web functionality. Gautam Shroff, a computer scientist, examines the technical mechanisms behind search engines, recommendation systems, and predictive modeling. He argues that while traditional artificial intelligence faced limitations, the current era of interconnected web data allows for a practical, emergent intelligence that mimics cognitive processes through computational scale.
What You Will Find
Experts identify this work as a clear, accessible introduction to the mechanics of web-based intelligence for non-specialists. Readers frequently note that the prose balances technical depth with broad conceptual overviews, making it a useful resource for understanding the algorithms that shape digital interaction.
Page Count:
320
Publication Date:
2015-12-08
Publisher:
Oxford University Press
ISBN-10:
0198743882
ISBN-13:
9780198743880
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