Abstract:
An embodiment provides a computer-implemented system and method for providing visual suggestions for cluster classification. One or more clusters comprising uncoded documents from a set are obtained. A different set of reference documents that are each classified with a code is designated. A cluster center in one of the clusters is identified. The cluster center is compared to one or more of the reference documents. Those of the reference documents that are similar to the cluster are identified based on the comparison. The classification codes of each of the similar reference documents are visually represented as a suggestion for assigning one of the classification codes to the cluster.
Abstract:
In various embodiments, methods and systems for dynamic validation of selectable data are provided. This may be accomplished by referencing search engine session data of a user. The search engine session data includes a plurality of search queries each having an entered-attribute and a resolved-attribute. A variation between the entered-attribute and the resolved-attribute, for each of the plurality of search queries, is determined based on analyzing the entered-attribute and the resolved-attribute. The entered-attribute is an input of the user and the resolved-attribute is a resolved-input for executing the search query. An input-precision score is generated for the user based on the variation between the entered-attribute and the resolved-attribute, for each of the plurality of search queries.
Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving a query initial input from a user, in response to receiving the query initial input, determining a set of personalized query suggestions based on the query initial input, the set of personalized query suggestions including one or more content-based query suggestions that reflect at least one of user data associated with the user within one or more computer-implemented services and use of the one or more computer-implemented services by the user, and transmitting instructions to display the set of personalized query suggestions to the user.
Abstract:
A scalable writing system, the system having: a user interface for textual input for creating content; at least one database having at least one set of writing criteria for applying to said created content to generate targeted content.
Abstract:
Searching information includes: receiving current query data from a client; extracting generic attribute features of the current query data, wherein the generic attribute features are used for calculating a plurality of confidence degrees of the current query data that correspond to a plurality of categories, each of the confidence degrees indicating a degree of confidence that the current query data belongs to a respective one of the plurality of categories; determining the plurality of confidence degrees of the current query data based at least in part on the generic attribute features; selecting a category based at least in part on the plurality of confidence degrees, the selected category being one of the plurality of categories and having a confidence degree higher than a confidence degree of another category; searching in the selected category for a search result that corresponds to the current query data; and returning the search result.
Abstract:
The present invention includes systems and methods for retrieving information via a flexible and consistent targeted search model that employs interactive dynamic menu information retrieval techniques that provide context-specific functionality tailored to particular information channels, as well as to records within or across such channels, and other known state information. Users are presented with a consistent search interface among multiple tiers across and within a large domain of information sources, and need not learn different or special search syntax. A thin-client server-controlled architecture enables users of resource-constrained mobile communications devices to locate targeted information more quickly by entering fewer keystrokes and performing fewer query iterations and web page refreshes, which in turn reduces required network bandwidth.
Abstract:
A set of potential search-query terms can be identified based on empirical queries for apps. For each potential search-query term, a subset of documents within a set of documents can be identified based on apps that users were likely to click on or download following entry of a search query with a comparable or same term. One or more other indicator terms can be identified as being related to the potential search-query term based on the one or more second indicator terms being prevalent within the subset of documents. Upon receipt of a subsequent search query, a search can then be performed using both a term within the search query and one or more related other indicator terms.
Abstract:
In one embodiment, a method includes receiving from a client device of a first user of an online social network a partial query input including a first character string. The method may determine one or more predicted queries based on the partial query input. The method may generate one or more search results for each of the predicted queries. The method may send, in response to receiving the partial query input, one or more of the search results to the client device for storage in a cache of the client device. The method may also retrieve, in response to receiving a completed query input from the first user, one or more of the search results from the cache of the client device for display. The completed query input may include a second character string, where the second character string may include at least the first character string.
Abstract:
A system may receive one or more terms of a search query. The system may automatically identify prior search queries that include the one or more terms of the search query from a history of prior search queries. The system may automatically identify possible spelling corrected search queries based on the one or more terms of the search queries. The system may automatically receive remote server-based query completion suggestions including the one or more terms of the search query. The system may present query refinement options, the query refinement box being populated with the prior search queries as suggested queries for possible selection by a user, the identified possible spelling corrected search queries, and the received query completion suggestions.
Abstract:
In one embodiment, a method includes receiving an indication of a first location of a first user from a mobile-client system of a first user, generating one or more search queries based on the location of the first user, executing one or more of the search queries, and sending a plurality of search results corresponding to the executed search queries to the mobile-client system.