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 qWeb intelligenceq, 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.world in 2009, we search even more frantically at the slightest sign of infection. ... that the results from Googlea#39;s flu-trends predictions were highly correlated with manual surveys conducted by CDC officials. ... A smart camera can detect and classify objects, i.e., a person walking and a car slowing down, as well as note theanbsp;...
|Title||:||The Intelligent Web: Search, smart algorithms, and big data|
|Publisher||:||OUP Oxford - 2013-11-28|