Context-aware-based personalized contact recommendation server, client and method

Abstract

The invention provides a context-awareness-based contact individuation recommending server (100) which comprises a user history log analyzing module (102), a user model generating module (104) and a storing device (106). The user history log analyzing module (102) is used for analyzing to acquire a user's behavior pattern according to a user's history log. The user model generating module (104) is used for establishing a user model according to the behavior pattern and the user's history log, and the user model is used for expressing which probability is used by a user to contact which contacts in certain behavior pattern so as to acquire a recommending candidate list in the behavior pattern. The storing device (106) is used for storing the user's history log, the user's behavior pattern and the user model. Correspondingly, the invention further provides a context-awareness-based contact individuation recommending client (300) and a context-awareness-based contact individuation recommending method. With the server, the client and the method, substantial time and effort for looking up the contacts in a phone book can be saved.

Description

technical field [0001] The invention relates to the fields of artificial intelligence and data mining; in particular, it relates to the field of data mining based on situation awareness. Background technique [0002] In recent years, with the rapid development of the industry, the cost of portable mobile terminals, especially mobile phones, has decreased year by year. With the improvement of people's living standards, mobile phones have become more and more popular. At the same time, there are many contacts in people's mobile phones, ranging from hundreds to thousands. People have to find out what they want from so many contacts. people to contact. [0003] The current mobile phones produced in the industry provide users with a variety of technologies to help users find contacts, such as manually entering keywords (names, initial letters, etc.), setting group categories (family members, colleagues, etc.) for contacts, and call records It also keeps history and even uses vo...

AI Technical Summary

Problems solved by technology

This will cause the model to think that the user is more likely to contact A in "Mode-1", and B will be ignored because of the relatively small number of historical contacts, but it is actually covered by "Mode-1". In Mode-2", although the user is still easy to contact A, the probability of contacting B is also very high. Therefore, it is necessary to propose a new situation awareness system and method for mobile phone users when they want to contact a contact. Recommend a list of contacts who are most likely to contact them based on their current context

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