Abstract: A computer implemented method of generating keyword recommendations is provided, which includes providing keyword frequency data in computer readable media that indicate frequency counts of keywords used in past internet searches; providing keyword affinity data in computer readable media that indicate affinities between pairs of keywords used in past user internet searches; identifying keywords from the keyword frequency data that include the selected keyword; identifying keywords from the keyword affinity data that have an affinity to the selected keyword; and prioritizing the identified keywords based upon the keyword frequency.

Abstract: A mobile domain platform for subscribers (e.g. businesses, institutions, advertising agencies, partners, providers, individuals, and enterprises) to offer a text message based campaign to new or potential customers (users). A subscriber can create a mobile domain by selecting and registering at least one available keyword with a mobile domain platform for the subsequent processing of text messages sent to the platform which include one or more of the registered keywords. Also, the subscriber can register one or more keywords as a root for a mobile domain such that subsequent text messages sent to the mobile domain platform that include additional alphanumeric strings of text (root keyword plus one or more combinations of other predetermined keywords) can be automatically processed to enable one or more different actions. A mobile domain keyword is generally composed of one or more alphanumeric characters, and can be any one of a word, phrase, abbreviation, or character.

Abstract: A machine learning based automated online form-filling technique provides for automatically completing user input controls based on previously stored information. An associative parser is used to identify and associate characteristics related to form controls with the corresponding form controls. The characteristics of the user input controls are input into a machine learning based semantic inference engine that was trained for the purpose of identifying the type of information that is supposed to be input into various user input controls. The semantic inference engine operates to label the controls in a manner that describes the meaning of the control, i.e., the type of information that should be automatically input into the corresponding controls. Consequently, the user input controls can be automatically filled in with previously stored user profile information associated with the corresponding labels.

Abstract: A mobile domain platform for subscribers (e.g. businesses, institutions, advertising agencies, partners, providers, individuals, and enterprises) to offer a text message based campaign to new or potential customers (users). A subscriber can create a mobile domain by selecting and registering at least one available keyword with a mobile domain platform for the subsequent processing of text messages sent to the platform which include one or more of the registered keywords. Also, the subscriber can register one or more keywords as a root for a mobile domain such that subsequent text messages sent to the mobile domain platform that include additional alphanumeric strings of text (root keyword plus one or more combinations of other predetermined keywords) can be automatically processed to enable one or more different actions. A mobile domain keyword is generally composed of one or more alphanumeric characters, and can be any one of a word, phrase, abbreviation, or character.

Abstract: A computer implemented method of generating keyword recommendations is provided, which includes providing keyword frequency data in computer readable media that indicate frequency counts of keywords used in past internet searches; providing keyword affinity data in computer readable media that indicate affinities between pairs of keywords used in past user internet searches; identifying keywords from the keyword frequency data that include the selected keyword; identifying keywords from the keyword affinity data that have an affinity to the selected keyword; and prioritizing the identified keywords based upon the keyword frequency.