Talk about the development trend of mobile search

Absrtact: With the rapid development of smartphone, mobile search is becoming more and more popular. According to the CNNIC 30th Internet survey, as of June 2012, the total size of Chinese mobile phone users is 388 million. Among them, the mobile browser user size of 278 million, in the mobile phone users infiltration

With the rapid development of smartphone, mobile search is becoming more and more popular. According to the CNNIC 30th Internet survey, as of June 2012, the total size of Chinese mobile phone users is 388 million. Among them, the handset browser user scale is 278 million, in the handset Netizen's penetration rate reaches 71.7%. Mobile browsers have become the main way for mobile internet users to surf the web, so search engines such as Baidu, 360 and Soso are involved in mobile search. In accordance with the development trend of the Internet, the future mobile search volume is certainly higher than the PC search volume. Today Pange based on the personal view of mobile search trends.

I. Personalized Search

Personalized search is based on the user's search habits to adjust the content of the search results page, each person input the same keyword words are different results, so that the search results more in line with the user's desire to search. In fact, PC search has been applied personalized search, but PC personalized search can not achieve pertinence, such as a PC can not guarantee that the same person in use. But mobile search can better call personal information, because mobile devices are often targeted at individuals, such personal information is more accurate, the return of search results more consistent with the user's search will.

Ii. Inductive location Search

Inductive geographic search returns different search results based on the different geographical location of the search user. The current Baidu PC search is based on the user's IP to adjust the partial search results page, but this has not been universal. Mobile search is a good way to get the location of the user information, each user in different locations to search the same keyword may want the information will not be the same. For example, users in Guangdong search "Lijiang", may be from Guangdong to Lijiang line and travel strategy, and users in Lijiang search "Lijiang", may want to be the current weather forecast in Lijiang, nearby tourist attractions and tourist routes. Inductive location search is more close to the needs of users, greatly reducing the time users need to find information.

Iii. Real-time search

Real-time search is to adjust the different search results according to the time of the user's search. According to the time, place, event dimension, such as Pange now search "banner", out of the latest 15th episode of the "banner" TV series, rather than the emergence of "the stars of the battle flag" related information. For example, the user search "Lo Wu bus station" can understand the road conditions in Shenzhen and Lo Wu bus station around the information, or even the emergence of APIs, let users choose the starting and destination, and then give the current frequency and costs and other related information.

Iv. Aggregate Search

Aggregate search is to integrate resources from the point of view of demand and user behavior, to show the information rich summary, and to provide a new search experience to reduce the cost of users ' information acquisition. For example, I search "Wang can", in addition to her basic information, should also show her blog, Micro-blog, recent drama and information and other related information, so that you can get a lot of information to improve the user experience.

Because of the development of intelligent search, mobile search may subvert the way PC search, who can better grasp the user's search will, who can get more users. Regardless of the trend of mobile search, the security of mobile search results is more interesting.