Abstract: A system determines user context (UC) keywords associated with a context of a user of a computing device based on extracting words from context items associated with the user. The system also determines search provider (SP) keywords for each of a plurality of search providers, the SP keywords associated with a respective textual content (e.g., documents) of each of the plurality of search providers. Determining the SP keywords for a search provider may include calculating a term frequency-inverse document frequency (tf-idf) score for each word of each content item of the textual content of the search provider. The system then selects a search provider (or several) from the plurality of search providers based on a number of UC keywords that match the search provider's SP keywords being greater than a threshold number. The system then generates a query for the selected search provider based on the matching UC keywords.

Abstract: A method, medium, and system to receive a request to add a resource to a cache, the resource including a data object and a context item key associated with the resource and uniquely identifying a context of use referenced by the context item key; determine whether the resource is stored in the cache; store, in response to the determination that the resource is not stored in the cache, the resource in the cache; and add the context item key of the resource stored in the cache to a record of reference list of resources.

Abstract: According to some embodiments, a suggestion platform associated with a content aggregation system may access a plurality of data context trigger criteria associated with potential business information content elements. Each data context trigger criteria may include, for example: (i) a data locator associated with a business information data structure, (ii) an operator, and (iii) a threshold. For each data context trigger criteria, it may be automatically determined if a value in the business information data structure satisfies the data context trigger criteria based on the operator and the threshold. When a data context trigger criteria is satisfied, it may be automatically suggested to a user that the potential business information content element associated with that data context trigger criteria be added to a user display of the content aggregation system.

Abstract: According to some embodiments, a suggestion platform associated with a content aggregation system may access a plurality of data context trigger criteria associated with potential business information content elements. Each data context trigger criteria may include, for example: (i) a data locator associated with a business information data structure, (ii) an operator, and (iii) a threshold. For each data context trigger criteria, it may be automatically determined if a value in the business information data structure satisfies the data context trigger criteria based on the operator and the threshold. When a data context trigger criteria is satisfied, it may be automatically suggested to a user that the potential business information content element associated with that data context trigger criteria be added to a user display of the content aggregation system.

Abstract: According to some embodiments, a suggestion platform associated with a content aggregation system may access a plurality of data context trigger criteria associated with potential business information content elements. Each data context trigger criteria may include, for example: (i) a data locator associated with a business information data structure, (ii) an operator, and (iii) a threshold. For each data context trigger criteria, it may be automatically determined if a value in the business information data structure satisfies the data context trigger criteria based on the operator and the threshold. When a data context trigger criteria is satisfied, it may be automatically suggested to a user that the potential business information content element associated with that data context trigger criteria be added to a user display of the content aggregation system.

Abstract: In one embodiment, a method includes: receiving data representing a plurality of corpora, each of the plurality of corpora including a set of documents; receiving data representing terms that appear in the corpora; for each one of the terms, determining a plurality of inverse document frequency values each associated with a respective one of the plurality of corpora; receiving data representing a subset of the terms that also appear in a document; for each term in the subset, determining a term frequency for the term in the document; and for each term in the subset, determining, an augmented term frequency-inverse document frequency value based on: (i) the term frequency, and (ii) the plurality of inverse document frequency values that were determined for the term in the subset.

Abstract: A method, medium, and system to receive a request to add a resource to a cache, the resource including a data object and a context item key associated with the resource and uniquely identifying a context of use referenced by the context item key; determine whether the resource is stored in the cache; store, in response to the determination that the resource is not stored in the cache, the resource in the cache; and add the context item key of the resource stored in the cache to a record of reference list of resources.

Abstract: Techniques for providing user-based context to a virtual workspace, including: generating a virtual workspace viewable by a user on a graphical user interface, the virtual workspace comprising a plurality of workspace modules comprising data contained in one or more data objects; identifying an interaction by the user with at least some of the data contained in the one or more data objects; and based on the identified interaction, identifying additional data contained in the one or more data objects that is semantically related to the data interacted with by the user.

Abstract: According to some embodiments, a suggestion platform associated with a content aggregation system may access a plurality of data context trigger criteria associated with potential business information content elements. Each data context trigger criteria may include, for example: (i) a data locator associated with a business information data structure, (ii) an operator, and (iii) a threshold. For each data context trigger criteria, it may be automatically determined if a value in the business information data structure satisfies the data context trigger criteria based on the operator and the threshold. When a data context trigger criteria is satisfied, it may be automatically suggested to a user that the potential business information content element associated with that data context trigger criteria be added to a user display of the content aggregation system.

Abstract: In one embodiment, a method includes: receiving data representing a plurality of corpora, each of the plurality of corpora including a set of documents; receiving data representing terms that appear in the corpora; for each one of the terms, determining a plurality of inverse document frequency values each associated with a respective one of the plurality of corpora; receiving data representing a subset of the terms that also appear in a document; for each term in the subset, determining a term frequency for the term in the document; and for each term in the subset, determining, an augmented term frequency-inverse document frequency value based on: (i) the term frequency, and (ii) the plurality of inverse document frequency values that were determined for the term in the subset.

Abstract: Techniques for providing user-based context to a virtual workspace, including: generating a virtual workspace viewable by a user on a graphical user interface, the virtual workspace comprising a plurality of workspace modules comprising data contained in one or more data objects; identifying an interaction by the user with at least some of the data contained in the one or more data objects; and based on the identified interaction, identifying additional data contained in the one or more data objects that is semantically related to the data interacted with by the user.