A method and system are provided for searching a search query having a non-character-based input. The method comprises receiving the search query comprising a first part and a second part. The first part comprises a non-character-based input. The method further comprises identifying a first plurality of keywords associated with the non-character-based input and receiving a selection of at least one of the first plurality of keywords. The method further comprises generating a modified search query comprising the at least one selected keyword and the second part. The method further comprises retrieving search results based on the modified search query and generating for presentation the search results.

Various embodiments provide a method for sorting data. The method can include: receiving criteria data from a user regarding an open opportunity; receiving candidate data, storing candidate data in a candidate profile in a candidate database; evaluating the candidate data, wherein evaluating the candidate data comprises: comparing the audio data of the candidate to a database of successfully-selected candidates to determine an N-gram analysis result for the candidate data, wherein the N-gram analysis includes creating a textual transcript of the audio data for a portion audio data; removing stop words from the textual transcript; creating an N-gram data set based on the textual transcript with stop words removed; comparing the N-gram data set of the candidate data to an N-gram data set of the successfully-selected candidates; and sorting the candidate data within a plurality of other candidate data using the N-gram analysis result.

We describe offline links to online digital assets. The offline links can be in hardcopy text. A link can be in a format like [BBQ Ribs], where there is a starting delimiter (eg “[”) and a closing delimiter (“]”). We call this a “linket”. A user has a mobile device with a camera. She scans a linket in hardcopy she is reading. Her device converts this to digital form and sends to a server. The server maps the linket to an URL or other electronic data. The linket acts as a brand, akin to a domain name.

Predicting potential policy violations in a given data source (such as a set of documents) so that a deeper analysis can be performed on the set of documents to gain additional insights into the potential policy violation(s) that may be contained therein. In some instances, this prediction is done by performing a random sampling operation on the set of documents and collecting the metadata from these documents in order to determine whether or not the set of documents that are randomly sampled include a policy violation that can be remediated.

An electronic device according to various embodiments, may include a camera, a communication circuit, a display and a processor, and the processor may be configured to acquire an image of an external object, transmit the image to an external electronic device, so that the external electronic device transmits product information related to the external object included in the image to the electronic device, using the communication circuit, determine one or more keywords related to the product information transmitted from the external electronic device, identify preference category information and preference brand information of a user, based on a usage record related to a product of the user related to the electronic device, determine weights for the one or more keywords, using the preference category information and the preference brand information, and provide at least some keywords having weights which satisfy a specified condition among the one or more keywords, on the display together with the product information.

A system and method for obtaining relevant information for identifying items that are being listed for sale via electronic marketplace applications. More specifically, the systems and methods relate to obtaining relevant attribute values and/or information for a plurality of items at relatively the same time. In aspects, the systems and methods involve receiving an electronic file or folder having a plurality of electronic representations of each of the items. The electronic file or folder is then parsed to separate the different items for identification. Once separated, the system and methods involve sending the separate items to an identification service and retrieving the separate information for each item and returned to the requesting device.

Enforcing data ownership may include receiving a request to register an application programming interface (API) endpoint. A plurality of elements of the API endpoint and a target API endpoint may be preprocessed. A distance may be computed for each of element of the API endpoint relative to at least one of the elements of the target API endpoint. A distance score for the API endpoint may be computed based on the distance scores. A term frequency-inverse document frequency (TF-IDF) value may be computed for a plurality of metadata terms of the API endpoint and the target API endpoint. A similarity score between the TF-IDF values of the metadata terms may be computed. An adjusted score may be computed for the API endpoint based on the distance score and the similarity scores. The API endpoint may be registered based on the adjusted score being below a permissions threshold.

A document response production method, the method including: receiving, as input, a document with requests for information, wherein each request for information is a text string; displaying a user interface on the display, the user interface simultaneously displaying a document viewer area, a virtual assistant area, and a text editor area; displaying the received document in the document viewer area; receiving, as input, a selected request for information from among the requests for information; displaying, in the virtual assistant area, one or more automatically selected recommended responses to the selected request for information, and displaying, in the virtual assistant area, one or more other selectable potential responses; based on the selected request for information, automatically generating or suggesting a text string response to the selected request for information; and displaying the text string response in the text editor area.

The present disclosure generally relates to the connection, operation, automation, and autonomation of disparate computing systems, networks, and databases. The present disclosure further relates to a method for operating a plurality of legacy systems, comprising: receiving a user input string from a user; parsing the user input string into a plurality of terms; generating, for each of the plurality of legacy systems, based on the user input string, one or more legacy input strings, each of the one or more legacy input strings being executable by each of the plurality of legacy systems and comprising a syntactical arrangement of one or more of the plurality of terms; and instructing the plurality of legacy systems to execute the one or more legacy input strings.

Provided is a method and system for normalizing catalog item data to create higher quality search results. In one example, the method may include receiving a record comprising an unstructured description of an object, identifying a type of the object from among a plurality of object types and identifying a predefined attribute of the identified type of object, extracting a value from the unstructured description corresponding to the predefined attribute and modifying the extracted value to generate a normalized attribute value, and storing a structured record of the object in a structured format comprising a plurality of values of a plurality of attributes of the object from the unstructured description including the normalized attribute value for the predefined attribute of the object.