Abstract: Methods and systems for incrementally selecting and providing relevant search engines in response to a user query. A method of incrementally selecting and providing relevant search engines is based in part on identifying a set of search engines associated with corresponding metadata, receiving a partial search query entered by the user of a device, inferring after each user keypress a set of potential full queries intended by the user, using the potential full queries and the search engine metadata to identify a set of relevant search engines, and for each of these search engines, providing a direct link to launch a relevant query in the search engine. The user input may be either ambiguous, or erroneous, and may be entered using an input-constrained device.

Abstract: A user-interface method of selecting and presenting a collection of content items based on user navigation and selection actions associated with the content is provided. The method includes associating a relevance weight on a per user basis with content items to indicate a relative measure of likelihood that the user desires the content item. The method includes receiving a user's navigation and selections actions for identifying desired content items, and in response, adjusting the associated relevance weight of the selected content item and group of content items containing the selected item. The method includes, in response to subsequent user input, selecting and presenting a subset of content items and content groups to the user ordered by the adjusted associated relevance weights assigned to the content items and content groups.

Abstract: A method of selecting and presenting content based on learned user preferences is provided. The method includes providing a content system including a set of content items organized by genre characterizing the content items, and wherein the set of content items contains microgenre metadata further characterizing the content items. The method also includes receiving search input from the user for identifying desired content items and, in response, presenting a subset of content items to the user. The method further includes receiving content item selection actions from the user and analyzing the microgenre metadata within the selected content items to learn the preferred microgenres of the user. The method includes, in response to receiving subsequent user search input, selecting and presenting content items in an order that portrays as relatively more relevant those content items containing microgenre metadata that more closely match the learned microgenre preferences of the user.

Abstract: The present disclosure provides user-interface methods and systems for submitting search requests to search engines and presenting search results therefrom customized using content preferences learned about a user, comprising sending query information to at least two search engines, including a query identifying desired content, and user information, including context information describing the environment in which the query information is being sent, and a user signature representing content preferences learned about the user; receiving at least one set of a search result and auxiliary information from the at least one search engine in response to sending the query information, including information describing attributes of the search result that led to the search result being chosen by the at least one search engine; ordering the at least one search result based at least in part on the auxiliary information; and presenting the ordered search results to the user.

Abstract: A method of segmenting relative user preferences into fine-grain and coarse-grain collections is provided. The method includes providing a set of content items having associated descriptive terms. The method also includes receiving user search input and, in response thereto, presenting a subset of content items. The method includes receiving user selection actions and analyzing the selections to learn the user's preferred descriptive terms. The method includes expressing the learned preferred descriptive terms as a segmented probability distribution function having at least one fine grain segment and at least one coarse grain segment. In response to subsequent search input, the method calls for selecting and ordering a collection of content items by promoting the ranking of content items associated with the learned preferred descriptive terms of the user according to the differentiation provided by the segmented probability distribution function.

Abstract: A method of segmenting relative user preferences into fine-grain and coarse-grain collections is provided. The method includes providing a set of content items having associated descriptive terms. The method also includes receiving user search input and, in response thereto, presenting a subset of content items. The method includes receiving user selection actions and analyzing the selections to learn the user's preferred descriptive terms. The method includes expressing the learned preferred descriptive terms as a segmented probability distribution function having at least one fine grain segment and at least one coarse grain segment. In response to subsequent search input, the method calls for selecting and ordering a collection of content items by promoting the ranking of content items associated with the learned preferred descriptive terms of the user according to the differentiation provided by the segmented probability distribution function.

Abstract: A method of segmenting relative user preferences into fine-grain and coarse-grain collections is provided. The method includes providing a set of content items having associated descriptive terms. The method also includes receiving user search input and, in response thereto, presenting a subset of content items. The method includes receiving user selection actions and analyzing the selections to learn the user's preferred descriptive terms. The method includes expressing the learned preferred descriptive terms as a segmented probability distribution function having at least one fine grain segment and at least one coarse grain segment. In response to subsequent search input, the method calls for selecting and ordering a collection of content items by promoting the ranking of content items associated with the learned preferred descriptive terms of the user according to the differentiation provided by the segmented probability distribution function.

Abstract: A method and system are provided for processing a search request received from a user operating a text input device. The search request is directed at identifying a desired item from a set of items. Each of the items of the set of items has one or more associated terms. The method includes receiving a query input from a user directed at identifying the desired item. The query input comprises one or more characters input by the user on the text input device. As each character of the query input is received from the user, a group of items having one or more terms matching the characters received thus far of the query input is dynamically identified. The items in this group of items are ordered based on relevance values of the terms matching the characters and on the number of characters of the query input used in identifying the group of items. Identification of the group of items as ordered is transmitted to the user to be displayed on a device operated by the user.

Abstract: A method of segmenting relative user preferences into fine-grain and coarse-grain collections is provided. The method includes providing a set of content items having associated descriptive terms. The method also includes receiving user search input and, in response thereto, presenting a subset of content items. The method includes receiving user selection actions and analyzing the selections to learn the user's preferred descriptive terms. The method includes expressing the learned preferred descriptive terms as a segmented probability distribution function having at least one fine grain segment and at least one coarse grain segment. In response to subsequent search input, the method calls for selecting and ordering a collection of content items by promoting the ranking of content items associated with the learned preferred descriptive terms of the user according to the differentiation provided by the segmented probability distribution function.

Abstract: Methods of and systems for dynamically rearranging search results into hierarchically organized concept clusters are provided. A method of searching for and presenting content items as an arrangement of conceptual clusters to facilitate further search and navigation on a display-constrained device includes providing a set of content items and receiving incremental input to incrementally identify search terms for content items. Content items are selected and grouped into sets based on how the incremental input matches various metadata associated with the content items. The selected content items are grouped into explicit conceptual clusters and user-implied conceptual clusters based on metadata in common to the selected content items. The clustered content items are presented according to the conceptual clusters into which they are grouped.

Abstract: A user-interface method of selecting and presenting a collection of content items based on user navigation and selection actions associated with the content is provided. The method includes associating a relevance weight on a per user basis with content items to indicate a relative measure of likelihood that the user desires the content item. The method includes receiving a user's navigation and selections actions for identifying desired content items, and in response, adjusting the associated relevance weight of the selected content item and group of content items containing the selected item. The method includes, in response to subsequent user input, selecting and presenting a subset of content items and content groups to the user ordered by the adjusted associated relevance weights assigned to the content items and content groups.

Abstract: Methods of and systems for selecting and presenting content based on user identification are provided. A user-interface method of selecting and presenting content items in which the presentation is ordered at least in part based on inferring which user of a collection of users is using an input device includes providing a set of content items, providing a set of preference information for each user indicating content item preferences of a corresponding user, and providing a set of user keypress biometric models representing expected keypress activity for the corresponding user. User keypress activity to identify desired content items is monitored to biometrically characterize the user and analyzed to find the closest match to one of the keypress biometric models. Based on the closest match, which user of the collection of users entered the input is inferred and the corresponding preference information is used to select, order, and present content items.

Abstract: A method of selecting and presenting content based on inferred user preferences is provided. The method includes providing a set of content items having associated descriptive terms and receiving search inputs from an input device and presenting a corresponding subset of content items. The method includes receiving selection actions of content items and analyzing the descriptive terms associated with the selected content items to learn a composite set of preferred descriptive terms of the plurality of users of the input device. The method includes inferring preferences of individual users from the composite set of preferred descriptive terms by decomposing the composite set of preferred descriptive terms into individual sets of preferred descriptive terms. The decomposition act utilizes prespecified statistical models of preferences.

Abstract: Methods and systems for incrementally selecting and providing relevant search engines in response to a user query. A method of incrementally selecting and providing relevant search engines is based in part on identifying a set of search engines associated with corresponding metadata, receiving a partial search query entered by the user of a device, inferring after each user keypress a set of potential full queries intended by the user, using the potential full queries and the search engine metadata to identify a set of relevant search engines, and for each of these search engines, providing a direct link to launch a relevant query in the search engine. The user input may be either ambiguous, or erroneous, and may be entered using an input-constrained device.

Abstract: Methods of and systems for dynamically rearranging search results into hierarchically organized concept clusters are provided. A method of searching for and presenting content items as an arrangement of conceptual clusters to facilitate further search and navigation on a display-constrained device includes providing a set of content items and receiving incremental input to incrementally identify search terms for content items. Content items are selected and grouped into sets based on how the incremental input matches various metadata associated with the content items. The selected content items are grouped into explicit conceptual clusters and user-implied conceptual clusters based on metadata in common to the selected content items. The clustered content items are presented according to the conceptual clusters into which they are grouped.

Abstract: A method of and system for enhanced content discovery based on network and device access behavior is disclosed. A method includes providing a remote catalog of global attributes values associated with content items that are based on interactions of a plurality of users with the content items. User interactions with a local device are monitored to determine user preferences and determine local attribute values associated with the content items that are based on interactions of the user with the content items. A subset of content items on the local device is selected based on matching user input with metacontent associate with the content items. The content items of the subset are presented in a ranked order based the user preferences, local attribute values, and the global attribute values.

Abstract: A method of and system for enhanced local-device content discovery is disclosed. A method includes providing a local collection of content items and associated metacontent on a device. The metacontent describes the informational content of the corresponding content items. A remote catalog of metacontent items and information describing relationships between the metacontent items is provided. Input is received from the user for finding at least one desired content item and a search query is formed including at least one metacontent item of the remote catalog based on matching the input from the user with metacontent items of the catalog and further based on the information describing relationships between the metacontent items. A subset of content items of the local collection associated with metacontent that at least partially matches the search query is selected and presented on a display device based on at least one ranking criterion.

Abstract: A method of and system for updating locally cached content descriptor information is disclosed. A method includes providing a remote catalog of metacontent associated with content items that describes their informational content. The method also includes providing a local collection of content items and associated metacontent. The method further includes, updating the metacontent associated with the content items of the local collection with metacontent of the remote catalog based on matching the content items of the local collection and remote catalog. The method includes receiving query input from the user for finding desired content items and determining a subset of content items of the local collection associated with metacontent that at least partially matches the query input in which at least one of the matching metacontents is from the remote catalog. The method also includes presenting the subset of content items based on at least one ranking criterion.

Abstract: Methods of and systems for entering ambiguous text input via a linear character selection display are provided. A system for entering an alphanumeric string includes presentation logic for displaying on a presentation device an alphabet arranged into a row of letters and indication logic for presenting visual cues grouping a series of letters of the row into a cluster. The system also includes navigation logic for receiving user actions to move the visual cues along the row of letters to change the letters grouped into the cluster. The visual cues move along the row of letters in variable offsets based on a rate of input of the user actions. The system further includes selection logic for receiving user actions to select the cluster of letters to cause at least one of the letters of the selected cluster to be displayed in a string field.

Abstract: A method and system are provided of processing a search query entered by a user of a device having a text input interface with overloaded keys. The search query is directed at identifying an item from a set of items. Each of the items has a name including one or more words. The system receives from the user an ambiguous search query directed at identifying a desired item. The search query comprises a prefix substring of at least one word in the name of the desired item. The system dynamically identifies a group of one or more items from the set of items having one or more words in the names thereof matching the search query as the user enters each character of the search query. The system also orders the one or more items of the group in accordance with given criteria.