Disclosed are an electronic device and a method of processing a user input by an electronic device. The method includes: generating a first query based on an input; identifying a response to the first query; transmitting a second query generated at least based on the first query to an external electronic device, which can perform short-range communication, through communication circuitry of at least one communication module, based on a result of the response; and setting the second query to be processed by the external electronic device.

The present disclosure is directed toward systems and methods for utilizing semantic information in association with a search query. For example, one or more embodiments described herein identify key terms within a search query and utilize semantic information associated with the identified key terms to provide suggested replacement terms. A user can select one or more suggested replacement terms to broaden or refine a search query so as to add more meaning and specificity to the search query. Furthermore, one or more embodiments provide unique and interactive user interfaces to allow users to efficiently refine and improve search queries when using mobile devices with smaller or more limited display and input capabilities.

Techniques for enhancing electronic privacy utilize noise to prevent third parties from determining certain information based on search queries. Users submit search queries as part of their normal activities. For a user, the search queries submitted and information regarding search results used to generate additional search queries on different, but related topics. The generated additional search queries are submitted automatically on behalf of the user at a sufficient frequency to prevent high accuracy data analysis on search queries.

Computerized systems and methods are provided for analyzing failed and successful search queries. In accordance with some embodiments, search records with character strings that are refinements of character strings of other search records are deemed related as belonging to a same user search. Minimum changed sections between character strings in related search records are determined. Correction pairs are created including the character sequences from the portions of the character strings containing the minimum changed sections. Frequencies of correction pairs in a pool of correction pairs are calculated, and the correction pairs appearing in the pool most frequently are stored in a correction log.

A method of retrieving information relating to an entity, the method including, in at least one electronic processing device, performing a search by: determining a respective search template for the entity, the search template being indicative of a sequence of query instructions; performing a sequence of queries in accordance with the sequence of query instructions of the respective search template, each query being a query of a data source performed in accordance with a respective query instruction and being performed at least in part using at least one of: an identity of the respective entity; and, a result of a previous query performed in accordance with a previous query instruction in the sequence of query instructions; determining a result for at least some of the sequence of queries; and, determining information relating to the entity using the results.

Techniques are disclosed for dynamically personalizing application content presented to a user based on “voice-of-customer” feedback, in real-time. As described, the user may provide voice-of-customer feedback characterizing an initial selection of application content presented to the user may be evaluated to identify a set of topics referenced by the voice-of-customer feedback. Keywords associated with the identified topics may be used to enhance the selection of application content presented to the user. For example, keywords associated with the identified topics may be added to an initial search query composed by the user. Doing so can improve the relevance or helpfulness of information content or software interfaces identified using the query.

Provided is a process including: obtaining a semantic similarity graph having nodes corresponding to documents in an analyzed corpus and edges indicating semantic similarity between pairs of the documents; for at least a plurality of nodes in the graph, evaluating accuracy of the edges based on neighboring nodes and an external corpus by performing operations including: identifying the neighboring nodes based on adjacency to the respective node in the graph; selecting documents from an external corpus based on references in the selected documents to entities mentioned in the documents of the neighboring nodes; and determining how semantically similar the respective node is to the selected documents.

A method and system for analyzing user behavior as users search for items within an electronic marketplace is provided. A query is submitted by a user of the electronic marketplace, the query is processed to identify a series of actions or behaviors performed by the user in relation to the query and fingerprint information for the query is determined based at least in part on analyzing the actions. A classification for a query is determined based on the fingerprint information. In one embodiment, an electronic marketplace receives a query from a user, accesses a query classification database having fingerprint information, determines a fingerprint for the query based on the fingerprint information and dynamically modifies a user experience for the user based at least in part on the fingerprint information.

Generating expanded responses that guide continuance of a human-to computer dialog that is facilitated by a client device and that is between at least one user and an automated assistant. The expanded responses are generated by the automated assistant in response to user interface input provided by the user via the client device, and are caused to be rendered to the user via the client device, as a response, by the automated assistant, to the user interface input of the user. An expanded response is generated based on at least one entity of interest determined based on the user interface input, and is generated to incorporate content related to one or more additional entities that are related to the entity of interest, but that are not explicitly referenced by the user interface input.

A system determines whether a received search query includes an entity name, determines whether to rewrite the received search query based on information relating to prior searches involving the entity name, and rewrites the received search query when it is determined that the received search query should be rewritten. The system further determines whether to provide a suggestion of rewriting the received search query, as a rewriting suggestion, based on information relating to prior searches involving the entity name when it is determined that the received search query should not be rewritten. The system also generates the rewriting suggestion when it is determined that the rewriting suggestion should be provided. The system performs a search based on one of the received search query and the rewritten search query to obtain search results, presents the search results, and presents the rewriting suggestion when it is determined that the rewriting suggestion should be provided.