Abstract: Methods and apparatuses are provided for user interest modeling. A method may include receiving an input from a user for specifying one or more topics from among a predetermined hierarchy of topics and subtopics. The method may additionally include retrieving one or more documents associated with the user and extracting language tokens from the documents based, at least in part, on the specified topics. Corresponding apparatuses are also provided.

Abstract: Methods and apparatuses are provided for user interest modeling. A method may include accessing logged interactive user history data for a user data for a user. The method may additionally include determining at least one user interest topic for the user by utilizing a topic model acting upon at least a portion of the logged interactive user history data and one or more seed documents generated from a topic feature source. Corresponding apparatuses are also provided.

Abstract: An apparatus for determining one more preferred words of a user may include a processor and memory storing executable computer program code that cause the apparatus to at least perform operations including implementing a topic model including data associated with one or more word preferences of at least one user. The computer program code may further cause the apparatus to implement a training model of the topic model to generate the word preferences based in part on analyzing training data of the training model. The training data including content associated with one or more determined topics. The computer program code may further cause the apparatus to determine that the word preferences correspond to one or more preferred words of respective users. Corresponding methods and computer program products are also provided.

Abstract: Methods and apparatuses are provided for user interest modeling. A method may include receiving an input from a user for specifying one or more topics from among a predetermined hierarchy of topics and subtopics. The method may additionally include retrieving one or more documents associated with the user and extracting language tokens from the documents based, at least in part, on the specified topics. Corresponding apparatuses are also provided.

Abstract: Methods and apparatuses are provided for user interest modeling. A method may include accessing logged interactive user history data for a user data for a user. The method may additionally include determining at least one user interest topic for the user by utilizing a topic model acting upon at least a portion of the logged interactive user history data and one or more seed documents generated from a topic feature source is feature source. Corresponding apparatuses are also provided.

Abstract: An apparatus may include a profile determiner configured to determine a user profile. A contextual characteristic determiner may be configured to determine contextual characteristics relating to the apparatus and/or the user of the apparatus such that the profile determiner may infer user preferences and thereby create a dynamic portion of the user profile. An index builder may be configured to build an index of profile categories included within the user profile. A subscription registrar may cause the user profile to be registered for sharing with a service provider. Thereby a profile manager may provide for direct controlled access to the user profile which may be limited by user selection of permission levels and/or profile categories which are shared. Thereby access to the user profile may occur directly with the apparatus without storing the user profile on a separate server.

Abstract: A method and a device including a display, a memory, a processor and a keypad, wherein the device is configured to identify a flexible phrase having at least one empty field, receive input corresponding to at least one field value and insert said at least one field value into said at least one empty field thereby completing the flexible phrase.