Methods, non-transitory computer readable media, and computing devices for three-dimensional searching that precisely targets retrieval within diverse types of content includes retrieving web content in response to a received request from a client device. A destination page, an address within the page, and an offset distance from a starting point at the address to a correlated responsive portion of the web content to the received request is identified. The responsive web content with the identified destination page, the address, and the offset distance is provided to the requesting client device.

A method is provided. The method includes one or more of obtaining client device data including a plurality of facts from a client device, limiting the client device data according to selection criteria, comparing the limited client device data to categorized historical data, determining one or more closest matches between the limited client device data and the categorized historical data, selecting, on the client device, content of interest from the one or more closest matches, and incorporating the content of interest into the categorized historical data. Each fact includes an entity, an observation, and an object.

A control method includes sending, by a controller, a created context-aware model to a context-aware engine. The context-aware model is used to define a preset control performed when target data meets a trigger condition and to instruct the context-aware engine to send indication information to the controller when the context-aware engine determines that the target data meets the trigger condition. The preset control is used to implement a context-aware function. The indication information is used to indicate that the target data meets the trigger condition. The method also includes receiving, by the controller, the indication information. The method further includes performing, by the controller, the preset control based on the indication information.

An employment recruitment method based on face recognition includes acquiring a candidate's data from a third-party website, analyzing the candidate's data by a semantic analysis method to identify human resources information of the candidate, and analyzing messages and postings in the human resources information of the candidate to determine candidate's personality. A terminal device acquires a second face image of the candidate by a second camera, analyzes the second face image of the candidate by a computer vision algorithm to determine a micro-expression of the candidate, and provides the candidate's human resources information, the candidate's personality, and the candidate's micro-expression to the recruiter to evaluate the candidate. The terminal device applying the method is also disclosed.

An employment recruitment method based on face recognition includes acquiring a candidate's data from a third-party website, analyzing the candidate's data by a semantic analysis method to identify human resources information of the candidate, and analyzing messages and postings in the human resources information of the candidate to determine candidate's personality. A terminal device acquires a second face image of the candidate by a second camera, analyzes the second face image of the candidate by a computer vision algorithm to determine a micro-expression of the candidate, and provides the candidate's human resources information, the candidate's personality, and the candidate's micro-expression to the recruiter to evaluate the candidate. The terminal device applying the method is also disclosed.

Methods, computer readable media, and devices for dynamic personalized API assembly are provided. One method may include receiving a data query from a client by a CDN, parsing the data query to generate a modified data query, transmitting the modified data query to an origin server, receiving a query response from the origin server, generating a modified query response based on the query response, and sending the modified query response to the client. Another method may include receiving an API call by an origin server, generating an API response by creating a payload file and adding markup directives indicating whether content is cacheable, and transmitting the API response.

Methods, computer readable media, and devices for dynamic personalized API assembly are provided. One method may include receiving a data query from a client by a CDN, parsing the data query to generate a modified data query, transmitting the modified data query to an origin server, receiving a query response from the origin server, generating a modified query response based on the query response, and sending the modified query response to the client. Another method may include receiving an API call by an origin server, generating an API response by creating a payload file and adding markup directives indicating whether content is cacheable, and transmitting the API response.

This disclosure describes systems, methods, and devices related to coordinating the exchange of information relating to the delivery of assets (e.g., packages, freight, supplies, parts, materials, raw goods, inventory, tools, and equipment) in a supply chain or inventor management context. A status token may be provided to an unauthorized user, wherein the status token is initialized in an invalid state. Attempts to query status information while the status token may be denied and/or convey no information regarding the status of the asset. If an adverse condition occurred during a designated time period, status information for the asset may be provided.

This disclosure describes systems, methods, and devices related to coordinating the exchange of information relating to the delivery of assets (e.g., packages, freight, supplies, parts, materials, raw goods, inventory, tools, and equipment) in a supply chain or inventor management context. A status token may be provided to an unauthorized user, wherein the status token is initialized in an invalid state. Attempts to query status information while the status token may be denied and/or convey no information regarding the status of the asset. If an adverse condition occurred during a designated time period, status information for the asset may be provided.

Disclosed herein is a method for facilitating generation of real estate descriptions for real estate assets, in accordance with some embodiments. The method may include a step of receiving, using a communication device, real estate information of a real estate asset from a user device, a step of analyzing, using a processing device, the real estate information, a step of generating, using the processing device, a real estate description for the real estate asset using a machine learning model based on the analyzing, a step of receiving, using the communication device, a keyword relevant in a real estate industry from the user device, a step of generating, using the processing device, an optimized real estate description for the real estate asset based on the keyword and the real estate description, and storing, using a storage device, the optimized real estate description.