Abstract:
A method of disambiguating user intent in conversational interactions for information retrieval is disclosed. The method includes providing access to a set of content items with metadata describing the content items and providing access to structural knowledge showing semantic relationships and links among the content items. The method further includes providing a user preference signature, receiving a first input from the user that is intended by the user to identify at least one desired content item, and determining an ambiguity index of the first input. If the ambiguity index is high, the method determines a query input based on the first input and at least one of the structural knowledge, the user preference signature, a location of the user, and the time of the first input and selects a content item based on comparing the query input and the metadata associated with the content item.
Abstract:
A user-interface system and method for searching among multiple documents and searching for subsections within individual documents using a single search interface on an input-constrained user device having a screen and a keypad.
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 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 method of selecting and presenting content based on learned user preferences is provided. The method includes learning the user's context-sensitive content preferences based on content selected by the user and based on determining a context in which the user performed the selections. The context can include the location of the user and/or time of the selection; the context can also include the dataspace of the content. In response to subsequent searches by the user, the method calls for determining the context of the subsequent search and utilizing the user's matching context-sensitive content preferences to select and order content items for presentation to the user.
Abstract:
A system for finding and presenting content items in response to keystrokes entered by a user on an input device having a known layout of overloaded keys selected from a set of key layouts. The system includes (1) a database containing content items and terms characterizing the content items; (2) input logic for receiving keystrokes from the user and building a string corresponding to incremental entries by the user, each item in the string having the set of alphanumeric symbols associated with a corresponding keystroke; (3) mapping logic to map the string to the database to find the most likely content items corresponding to the incremental entries, the mapping logic operating in accordance with a defined error model corresponding to the known layout of overloaded keys; and (4) presentation logic for ordering the most likely content items identified by the mapping logic and for presenting the most likely content items.
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:
Systems and methods are disclosed for processing a search request received from a user. A method includes providing access to content items associated with metadata. The method includes providing information about at least one search previously performed for a user, and providing access to information describing relationships between at least one of the content items and the metadata. The method includes receiving a present input from the user intended to identify a desired content item. Upon determining that results from the previous search did not satisfy the search request from the user, the method includes determining an intent shared by the previous search and the present input based on comparing (i) the relationship information, (ii) the previous search, and (iii) the present input. The method also includes selecting and presenting a subset of content items based on comparing the shared intent and the metadata.
Abstract:
The present disclosure provides systems and methods for selecting and presenting content items based on user input. The method includes receiving first input intended to identify a desired content item among content items associated with metadata, determining that an input portion has an importance measure exceeding a threshold, and providing feedback identifying the input portion. The method further includes receiving second input, and inferring user intent to alter or supplement the first input with the second input. The method further includes, upon inferring intent to alter the first input, determining an alternative query by modifying the first input based on the second input, and, upon inferring intent to supplement the first input, determining an alternative query by combining the first input and the second input. The method further includes selecting and presenting a subset of content items based on comparing the alternative query and metadata associated with the subset.
Abstract:
The present disclosure provides methods and systems for assisting a user in managing a timeline of appointments in which at least one appointment is associated with an event, and the appointment has associated appointment information that describes aspects of the appointment and/or event, including receiving free-form scheduling information from an electronic notification, inferring that at least a portion of the free-form scheduling information relates to an existing appointment and/or associated event, the existing appointment having presently associated appointment information that describes aspects of the appointment and/or associated event, selecting an appointment for modification, and modifying the selected appointment based on (a) the portion of the free-form scheduling information inferred to relate to the existing appointment and/or associated event, and at least one of the appointment information presently associated with the existing appointment, and a user preference signature representing prior actions performed by and/or content preferences learned about the user.