000			a
999			_c33352 _d33352
008			241124b xxu||||| |||| 00| 0 eng d
020			_a9780198743880
082			_a004.7 _bSHR
100			_aShroff, Gautam
245			_aThe intelligent web : search, smart algorithms, and big data
260			_bOxford University Press, _c2015 _aNew York :
300			_axxii, 297 p. ; _bill., _c20 cm.
365			_b599.00 _c₹ _d01
504			_aIncludes bibliographical references and index.
520			_aAs 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. This book 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. 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.
650			_aArtificial intelligence
650			_aWorld Wide Web
650			_aAbductive reasoning
650			_aCollaborative filtering
650			_aDeep web
650			_aDescription logic
650			_aIntellipedia
650			_aMutual information
650			_aNaive Bayes classifier
650			_aPageRank
650			_aPheromone
650			_aReverse Turing Test
650			_aSemantic web
650			_aUnsupervised learning
650			_aTF-IDF
650			_aWeb index
942			_2ddc _cBK