Manning Deep Learning for Search-2019年.pdf
That's why this book is so material and important. Not only are neural networks, Al, and deep 1earning automating routine jobs and decisions and making them easier, but they are also making search easier. Formerly, the state of the art in informationretrieval and search involved complex linear algebra, including matrix multiplicationto represent the matching of user queries to documents. Today, instead of using alge- braic and linear models. the state of the art involves-as an example-the application of neural networks to discern word similarity between documents after learning how to summarize the documents into words using separate networks. And that is only one area in the search process where Al and deep learning are being used
