Creating Customized User Dictionary

Abstract

In one embodiment, collecting a plurality of words from texts submitted by one or more users; for each of a plurality of communication categories, determining a usage frequency of each of one or more of the words within the communication category based on the texts; and constructing one or more customized dictionaries that each comprise a different blending of selected words.

What is claimed is: 
     
         1 . A computer-implemented method, comprising:
 collecting a plurality of words associated with a user by a server;   determining a usage frequency of at least one of the plurality of words by the server; and   constructing a plurality of customized dictionaries that comprise a blending of selected words from the collected plurality of words based on the usage frequency, the plurality of customized dictionaries to comprise a first customized dictionary associated with a first type of input device and a second customized dictionary associated with a second type of input device.   
     
     
         2 . The method of  claim 1 , further comprising:
 analyzing one or more of the plurality of customized dictionaries; and   selecting customized content based on one or more words in the customized dictionaries.   
     
     
         3 . The method of  claim 2 , further comprising selecting the customized content based on a frequency at which the one or more words in the customized dictionaries are used by the user. 
     
     
         4 . The method of  claim 2 , further comprising:
 receiving a set of characters from an input device of the user;   identifying a plurality of options from the customized dictionaries having the received set of characters;   receiving a selection of one of the plurality of options; and   selecting the customized content based on the selected option.   
     
     
         5 . The method of  claim 1 , further comprising:
 for each of a plurality of communication categories representing different types of input devices, sorting the plurality of words based on the usage frequency of each of the words within the communication category; and   constructing a usage-frequency table that comprises the communication categories and the frequently used words from each of the communication categories.   
     
     
         6 . The method of  claim 1 , wherein constructing one of the customized dictionaries comprises:
 determining a coefficient for each of a plurality of communication categories representing different types of input devices; and   blending the frequently used words from each of the communication categories based on the coefficient of each of the communication categories.   
     
     
         7 . The method of  claim 1 , wherein:
 the customized dictionaries are constructed for one or more groups of users respectively; and   
       for each of the customized dictionaries, the blending of the frequently used words from each of a plurality of communication categories representing different types of input devices is determined based on the corresponding group of users. 
     
     
         8 . The method of  claim 1 , wherein:
 the customized dictionaries are constructed for one or more communication channels respectively; and   
       for each of the customized dictionaries, the blending of the frequently used words from each of a plurality of communication categories representing different types of input devices is determined based on the corresponding communication channel. 
     
     
         9 . The method of  claim 1 , wherein:
 the collected plurality of words are received through one or more communication channels that comprise one or more communication dimensions; and   at least one of the communication categories represents a unique pair of communication dimensions.   
     
     
         10 . The method of  claim 9 , wherein:
 the communication channels comprise one or more of mobile input device, non-mobile input device, chat, e-mail, message, comment, status update, post, or communication object; and   the communication dimensions comprise one or more of locale, language, geography, culture, user friend list, or communication method.   
     
     
         11 . The method of  claim 1 , wherein:
 the collected plurality of words are received through two or more different communication channels, wherein the communication channels are characterized at least in part by having respective distinct languages.   
     
     
         12 . A system comprising:
 a memory comprising instructions executable by one or more processors; and   the one or more processors coupled to the memory and operable to execute the instructions, the one or more processors being operable when executing the instructions to:   collect a plurality of words associated with a user by a server;   determine a usage frequency of at least one of the plurality of words by the server; and   construct a plurality of customized dictionaries that comprise a blending of selected words from the collected plurality of words based on the usage frequency, the plurality of customized dictionaries to comprise a first customized dictionary associated with a first type of input device and a second customized dictionary associated with a second type of input device.   
     
     
         13 . The system of  claim 12 , further configured to:
 analyze one or more of the plurality of customized dictionaries; and   select customized content based on one or more words in the customized dictionaries.   
     
     
         14 . The system of  claim 13 , further configured to select the customized content based on a frequency at which the one or more words in the customized dictionaries are used by the user. 
     
     
         15 . The system of  claim 13 , further configured to:
 receive a set of characters from the user;   identify a plurality of options from the customized dictionaries having the received set of characters;   receive a selection of one of the plurality of options; and   select the customized content based on the selected option.   
     
     
         16 . The system of  claim 12 , wherein the processors are further configured to:
 determine a coefficient for each of a plurality of communication categories representing a type of input device; and   blend the frequently used words from each of the communication categories based on the coefficient of each of the communication categories.   
     
     
         17 . The system of  claim 12 , wherein:
 the collected plurality of words are received through two or more different communication channels, wherein the communication channels are characterized at least in part by having respective distinct languages.   
     
     
         18 . One or more non-transitory computer-readable storage media embodying software operable when executed by one or more computer systems to:
 collect a plurality of words associated with a user by a server;   determine a usage frequency of at least one of the plurality of words by the server; and   construct a plurality of customized dictionaries that comprise a blending of selected words from the collected plurality of words based on the usage frequency, the plurality of customized dictionaries to comprise a first customized dictionary associated with a first type of input device and a second customized dictionary associated with a second type of input device.   
     
     
         19 . The non-transitory computer-readable storage media of  claim 18 , further storing instructions to cause the computer systems to:
 analyze one or more of the plurality of customized dictionaries; and   select customized content based on one or more words in the customized dictionaries.   
     
     
         20 . The non-transitory computer-readable storage media of  claim 19 , further storing instructions to cause the computer systems to select the customized content based on a frequency at which the one or more words in the customized dictionaries are used by the user. 
     
     
         21 . The non-transitory computer-readable storage media of  claim 19 , further storing instructions to cause the computer systems to:
 receive a set of characters from the user;   identify a plurality of options from the customized dictionaries having the received set of characters;   receive a selection of one of the plurality of options; and   select the customized content based on the selected option.   
     
     
         22 . The non-transitory computer-readable storage media of  claim 18 , storing instructions to cause the computer systems to:
 determine a coefficient for each of a plurality of communication categories representing different types of input devices; and   blend the frequently used words from each of the communication categories based on the coefficient of each of the communication categories.   
     
     
         23 . The non-transitory computer-readable storage media of  claim 18 , wherein:
 the collected plurality of words are received through two or more different communication channels, wherein the communication channels are characterized at least in part by having respective distinct languages.