Core demands
With the development of Internet technology, mobile phones have become the mobile devices with the largest entrance and the longest user use time due to their advantages of portability and intelligence. In the face of the mobile phone market, how to break through the tight encirclement among many brands is the most important issue to consider at the moment.
At the same time, with the improvement of mobile office software, some mobile phone functions have gradually replaced the trend of PC. However, in addition to the small screen, the biggest disadvantage of the two mobile phones lies in the high interaction threshold and low office efficiency. Therefore, how to improve the efficiency of information processing is also the key for mobile phone manufacturers to seize market share.
Solution
Nuts mobile phone introduced the ability of [entity tagging] in Baidu Brain Knowledge Map in its "Big Bang" function, so that the article fragments pressed and held are scattered into independent words after the explosion effect, and Baidu can search for the phrase by one touch. The ability of [Entity tagging] is to link the selected phrase entity to the entity in the Baidu encyclopedia knowledge base based on the Baidu encyclopedia knowledge base, which can be used for knowledge resolution tasks in multiple scenarios such as search, recommendation, advertising, dialogue, etc. The realization of this capability makes the "Big Bang" function of Nuts mobile phone seamless in the whole process, solves the closed loop in the last step of interaction logic, breaks the interaction problems between software, improves the intelligent experience and maturity of mobile phones, and completely breaks the original cumbersome interaction restrictions.
Examples of the use of [Entity Marking] in the "Big Bang" function: 1. After using the "Big Bang" function, nut mobile phone users scattered the original fragments into independent phrases;
2. The [Entity tagging] function allows users to complete the "one click search" operation by clicking related phrases.
