87 results about "Tag cloud" patented technology

A method of social networking is disclosed. The method displays a user name on a web page. Further, the method receives an input that selects the user name. The method displays a display cloud, for the user name that is selected, that illustrates at least a subset of a personal cloud of the user associated with the user name. Furthermore, multi-level tagging for content can be used in order to generate tag clouds.

The autonomous avatar driver is useful in association with language sources. A sourcer may receive dialog from the language source. It may also, in some embodiments, receive external data from data sources. A segmentor may convert characters, represent particles and split dialog. A parser may then apply a link grammar, analyze grammatical mood, tag the dialog and prune dialog variants. A semantic engine may lookup token frames, generate semantic lexicons and semantic networks, and resolve ambiguous co-references. An analytics engine may filter common words from dialog, analyze N-grams, count lemmatized words, and analyze nodes. A pragmatics analyzer may resolve slang, generate knowledge templates, group proper nouns and estimate affect of dialog. A recommender may generate tag clouds, cluster the language sources into neighborhoods, recommend social networking to individuals and businesses, and generate contextual advertising. Lastly, a response generator may generate responses for the autonomous avatar using the analyzed dialog. The response generator may also incorporate the generated recommendations.

Disclosed herein is a method comprising presenting to a user a tag cloud at level n; wherein the tag cloud comprises an icon located next to each tag in the tag cloud; selecting an icon from the tag cloud at level n; and presenting to the user a tag cloud at level n+1, wherein the tag cloud comprises an icon located next to each tag in the tag cloud at level n+1; wherein the tag cloud at level n+1 comprises a query that comprises the users tag selection from level n in addition to a set of tags from level n+1 that comprise subject matter related to the tag selected at level n; and wherein n is an integer greater than zero.

A Portal Page Customizer (PPC) provides a tagging component and a portal page generator that enables a user to quickly display portlets most preferred by a community of portlet users. Each tag is associated with one or more portlet. A user can add new descriptive tags to portlets using tools on the portal page. When a user selects a tag from a tag cloud, the PPC displays portlets associated with the selected tag.

A computer network-implemented method for displaying a tag cloud representing a data structure. The data structure includes data entities and representations of relationships between the data entities. The method enables one or more users to interact with the data structure, and via the data structure, to interact with one another. In an example embodiment, the method comprises, via a computer processor, populating a display of a user interface showing a tag cloud populated with images of data entities from the data structure, such images, and in response to user input to the interface, associating one or more visual properties of the user interface with one or more of said relationships between data entities in the data structure.

Systems and methods for guiding users to candidate resume and current in-demand job specification matches using a predictive tag cloud of common, normalized elements for navigation. The system automatically processes candidate resumes and job specifications expressed in natural language into a common, normalized, validated form. Users select a single job classification of interest, and subsequently select elements of interest from a tag cloud. Upon each selection, an engine may display a new set of elements that are found in combination with the previously selected elements, via a tag cloud, and a revised list of candidate resume/profiles or job specifications, any of which users can select.

Content recommendation apparatus and methods using a tag cloud provide a content recommendation service via a network. The apparatus includes a content tag cloud generating module configured to generate a content tag cloud by analyzing a tag assigned to each content and accumulating frequencies per tag of each content. The apparatus also includes a user tag cloud generating module configured to generate a user tag cloud by accumulating frequencies per tag of contents used by a user. The apparatus further includes a similarity computing module and a recommending module. The similarity computing module is configured to compute a similarity between users using the user tag cloud, and the recommending module is configured to recommend content by computing a probability that a target user will use a specific content based on the computed similarity between users.

A set of personalized search widgets for providing a customized user interface are provided. Among the personalized search widgets include a related searches menu to depict related search terms according to popularity and type. A query builder for explicitly including or excluding particular terms from the query may be provided. The search widgets may further include a history of past searches received from a user, a selection of categories to be searched, and one or more category suggestions. Some widgets associated with sellers allow a user to filter results according to a trusted seller status of the seller or the identity of the seller, and provide to the user a tag cloud including feedback about the seller. The results of a search may be presented in a spreadsheet style format.

A system and method is provided for tracking and/or organizing email and, in particular, a system and method for tagging email in Web 2.0 applications and using the tags in tag clouds is provided. The system includes a computing system that has first program instructions to generate tag clouds having tags linked to associated emails in a collaborative application. A computer readable media stores the first program instructions and a central processing unit executes the first program instructions.

A system and method for providing advertisements in Internet Protocol Television (IPTV) service are provided. The system includes a content server that stores content data; an advertisement server that stores advertisement data; a tag server that collects tag information input from a plurality of users, creates and updates a tag cloud for the content data; and a set-top box that receives the tag cloud, the advertisement data, and the content data and outputs the content data and the received tag cloud to a display unit., The set-top box transmits the tag cloud to the advertisement server while the content data is output and the advertisement server prepares a list of advertisements based on the tag cloud. The set-top box receives the advertisement data from the advertisement server according to the advertisement list and outputs the advertisement data to the display unit.

A method for generating an ontology may include selecting, by a processing device, a tag in a tag cloud. The method may also include searching, by the processing device, an online encyclopedia for content corresponding to the selected tag and determining, by the processing device, at least one category to which the content belongs in the online encyclopedia in response to finding the content corresponding to the selected tag in the online encyclopedia. The method may additionally include adding, by the processing device, a class to the ontology corresponding to the at least one category of the content in the online encyclopedia.

A method of visualizing and interacting with a given term graph for a given group G defined by a set of values d for a set of dimensions D and topic X, may comprise obtaining the term graph associated with the given group G and the topic X; displaying the topic X in a tag cloud; representing each term from the term graph as a tag in the tag cloud, wherein a distance of a given tag from the displayed topic X in the tag cloud represents a distance of a term represented by the given tag from the topic X in the term graph; and visually representing a tag's importance relative to one or more of resources associated with the given group G in the tag cloud.

Embodiments of the present invention provide a method, system and computer program product for tag cloud prompting in an interactive voice response (IVR) system. In an embodiment of the invention, an IVR prompting method can include loading a set of options in an option set for a caller to an IVR application from over a network, identifying commonly selected options in the options set in a data store of historically selected options, generating a tag cloud for the option set with options in the option set that are more commonly selected being more emphasized than options in the option set that are less commonly selected, and directing a display of the tag cloud in a telephonic device of the caller.

The invention relates to an interactive online recommendation system and a method for cultural tourism scenic spots. The system comprises a data layer, a strategy layer and an application layer. The method comprises the following steps: a user selects a culture topic of interest on a Web interface, and systematically displays the number distribution of the cultural tourism scenic spots corresponding to the culture topic; Users select the corresponding province on the map corresponding to the number distribution of cultural tourist attractions, and display the cultural theme label cloud of theprovince systematically; Users select interesting subject words on the cultural subject label cloud, and the system recommends the scenic spots based on the similarity between the subject words and the scenic spots, and the recommendation results are displayed in the form of recommendation list, and the locations of the scenic spots are displayed on the map. Users select interesting attractions inthe recommendation list, the system recommends attractions based on the similarity of the content of the attractions, the recommendation results are displayed in the form of recommendation list, andthe location of the attractions is displayed on the map. The invention can recommend the attractions of the cultural tourism scenic spots according to the cultural background or elements, and solves the cold start problem in the recommendation system.

A method for managing tags in a tag cloud may include receiving a tag for an object and comparing the tag to existing tags for the object. The comparing may include determining if there is a relationship between the tag and any of the existing tags. The method may also include adding the tag to the tag cloud in response to there being no relationship between the tag and any of the existing tags. The method may additionally include selecting one tag of the existing tags in response to the tag and the one tag being related tags. The method may further include presenting the related tags in the tag cloud. Presenting the related tags in the tag cloud may include at least one of modifying the one tag in the tag cloud, indicating the tags are related, and combining the related tags into a single tag.

Embodiments of the present invention address deficiencies of the art in respect to screen reading non-sequential text and provide a method, system and computer program product for overlapping screen reading of non-sequential text, such as a tag cloud or Web page header. In an embodiment of the invention, an overlapping screen reading method for a non-sequential list of words can include computing different speech synthesis parameters for different words in a non-sequential list of words, generating different audio forms for each of the different words according to the different speech synthesis parameters, and overlappingly merging the generated different audio forms into a single audio stream. The speech synthesis parameters can include, for instance, separation, volume, tone and location speech synthesis parameters. Thereafter, the method can include playing back the single audio stream to simulate a natural visual scanning of the non-sequential list of words.