In various example embodiments, a search system and method employing search result feedback are presented. In an example, a search system may include a listing database including a plurality of listings, and a search engine may generate first search results in response to a first search query, the first search results including one or more of the plurality of listings. A search results modifier may receive a selection of a first listing of the first search results, with the selection of the first listing indicating a lack of interest in the first listing. The search engine may generate second search results in response to a second search query subsequent to the first search query, wherein the second search results include the first listing. The search results modifier may modify the second search results to less prominently display the first listing in the second search results.

The present disclosure relates to generating additional insight data for search results. Individual search results may be obtained and used to generate a parse tree for the search result data. A dependency graph may then be generated using the parse tree, where the dependency graph includes a root node that corresponds to a query parameter. A scoring or weighting algorithm is applied to the dependency graph to generate and aggregate scores for nodes in the dependency graph relative to the root node. The generated scores or weights are used to generate insight data for the search results.

Provided are methods and systems for providing digital content based on a social relationship. Computer-implemented methods include dividing digital content into a plurality of fragments based on a determined division unit of the digital content, providing direct ownership of a first one of the plurality of fragments to a primary user in response to a request from the user, providing indirect ownership of a second one of the plurality of fragments to the primary user based on at least one secondary user having a social relationship with the primary user and the at least one secondary user having direct ownership of the second one of the plurality of fragments, and providing access to the digital content based on a set of fragments of the plurality of fragments that the primary user has direct ownership or indirect ownership of.

A system described herein may provide techniques for receiving natural language inputs at a live dashboard. The natural language inputs may be analyzed to identify entities such as keywords and to determine an intent associated with each input. The identified entities may be mapped to various database elements and a formatted database request may be generated based on the mapping and the identified entities. The formatted database request may be sent to an associated database and a database response may be received. The data included in the database response may be provided by generating a report using report attributes associated with the identified search intent.

According to an aspect, there is provided a computer implemented method for processing data relating to a subject, the method comprising: generating a first query based on contextual information relating to a subject; receiving, from a user, a second query relating to the subject; and processing the first query and the second query to generate an output comprising at least one of: a request for further input from a user; an indication of clinical information relevant to the subject.

Systems for processing queries may first determine correspondence between the parameters of the query and a set of existing data entries, a set of previous queries that have been received, or both the existing data entries and the previous queries. If the query parameters do not correspond to the data entries or pervious queries, correspondence is determined between the query parameters and group data that associates at least a subset the query parameters with a particular group that may generate a response to the query. The same group or the generated response may be used when similar queries are received. If the group transmits the query to a different group or if negative user feedback is received, the group data may be modified to indicate the different group or to remove the association with the initial group that received the query.

An example computing device can include a processing resource and a memory resource storing instructions thereon, the instructions executable by the processing resource to: extract job information associated with a physical device from a database, compress the job information associated with the physical device; generate a machine-readable optical code that includes the compressed job information associated with the physical device, and update the machine-readable optical code with additional job information associated with the physical device.

A computing device can determine a decomposition of data of actions of a first session based at least in part on a first computational model associating the actions of the first session with corresponding state values of the first session. The computing device can determine a second computational model based at least in part on the decomposition and an operation template. The computing device can receive a query via the communications interface, the query associated with the second session. The computing device can determine a state value of the second session based at least in part on the query. The computing device can operate the second computational model to determine at least one response associated with the query based at least in part on the state value of the second session. The computing device can provide an indication of the at least one response via the communications interface.

Embodiments of a system and method for sharing content across a social network can include: receiving content (e.g., a content update) for a content channel (e.g., at a channel node of a set of remote channel nodes); assigning a content identifier to the content; transmitting the content with the content identifier to a user account associated with the content channel; and modifying the content channel with the content based on the content identifier.

In an embodiment, a method is provided for utilizing a meta-model semantic network. In this method, a meta-model of the enterprise data is obtained. The meta-model provides semantic information regarding a definition of a business object. The meta-model is then used to generate a rule definition that maps enterprise data to a semantic object definition and a semantic relation definition. With the rule definition, embodiments may then generate a semantic object and a semantic relation from data extracted from the enterprise data. The semantic object and semantic relation are stored in the meta-model semantic network.