[It's hard to find a reason to persuade myself in a bid. In the crossroads of various self-ideas, the original clear vision has become gloomy, so we still need to regularly sort out our own thoughts .]
With the launch of input methods by major Internet companies, this product, originally known as "Xiaojia biyu", has begun to become a daily topic of "upper-level companies. In this age of advocating technology, any product that represents advanced technology is being scaled up intentionally or unintentionally. The input method is of course the most typical example. At first, natural language processing was not used as an effective technology to introduce input methods, and machine learning has not become so popular today, just because it is the most common product for software and user interaction, play a very small but indispensable role.
Now, search products have received unprecedented attention, and the market competition has become increasingly fierce. Like the input method, the search method is similar to the evolution of the input method. At the beginning, when more advanced technologies were not introduced, search also exists in all aspects of the computer world, but people did not care about it.
Semantic search is called the next-generation search, which has attracted more and more attention. For example, a search engine called hayun (a beta version already exists ), the related technologies used are briefly described on the lab Website: http://labs.hakia.com /. In addition, the powerset Lab also claims that it is developing a semantic-web-based search engine: http://www.powerset.com/. the trial product is ready for registration. From the introduction of powerset blog's fragmented technology, we can see that the so-called semantic search engine differs significantly from the keyword-based search engine in two aspects, 1. Perform semantic Structured Analysis on user queries, process user feedback through machine learning, and sort the results. 2. Perform the so-called semantic index, in addition to the term itself, no further explanation of the semantic index is provided. However, the description of haw.lab goes further, claiming that its search engine is built on four major technical achievements: ontological semantics, ontology semantics; query detection and extraction (qdex ), query discovery and extraction; semanticrank; semantic Rank Algorithm; dialogue automatic Dialog System. The qdex technology is used to discover and extract possible question modes from the webpage text, and index all the question writing modes, so as to accurately hit user input.
[To be continued]
