The Intelligent Web: Search, smart algorithms, and big data

Gautam Shroff

ISBN 10: 0198743882 / ISBN 13: 9780198743880

Published by Oxford University Press, 2015

About this Item

Early hopes for Artificial Intelligence soon evaporated. But the need for smarter searching and advert placing, increasingly sophisticated algorithms, combined with the sheer amount of data on the Web, have led to a growing "Web intelligence". Gautam Shroff explores this trend, its conceptual basis, and what the future may hold. Num Pages: 320 pages, Approx 6 black and white illustrations. BIC Classification: UBW; UYQ. Category: (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 130 x 196 x 22. Weight in Grams: 238. . 2015. Reprint. Paperback. . . . . Seller Inventory # V9780198743880

Bibliographic Details

Title: The Intelligent Web: Search, smart ...

Publisher: Oxford University Press

Publication Date: 2015

Binding: Soft cover

Condition: New

About this title

Synopsis:

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.

About the Author:

Gautam Shroff is Vice President & Chief Scientist, Tata Consultancy Services and head of the TCS Innovation Lab in Delhi, India. He occasionally teaches in an adjunct capacity at the IIT Delhi and IIIT Delhi, as well as online via Coursera. Prior to joining TCS in 1998, Shroff had been on the faculty of the California Institute of Technology, Pasadena, USA and thereafter of the Department of Computer Science and Engineering at Indian Institute of Technology, Delhi, India. He has also held visiting positions at NASA Ames Research Center in Mountain View, CA, and at Argonne National Labs in Chicago. Shroff has published over 30 research papers in the areas of computational mathematics, parallel computing, distributed systems, software architecture, software engineering, and information fusion. He has also written Enterprise Cloud Computing (CUP, 2010).