Abstract:
A indexing engine and method are provided for operating an indexing engine that parses and indexes data created by a set of users associated with a business entity on a database while interacting with a service associated to the database, the method comprising: monitoring the users' interactions with the database related to a creation of new data by one or more of the users over a predefined period of time when using the service; monitoring service availability during these interactions over the same predefined period of time; and changing an indexing frequency based on both parameters associated with the monitoring of the users' interactions and the service usage conditions.
Abstract:
A method is provided for determining an existence or strength of a relationship between a first and a second user of a storage database having first user documents owned by the first user and second user documents owned by the second user stored in the storage database. The method includes: comparing the first user documents with the second user documents and creating a degree of similarity measure for the documents based on the comparing; and determining the existence or strength of the relationship between the first and second users based on the degree of similarity measure for the documents.
Abstract:
A indexing engine and method are provided for operating an indexing engine that parses and indexes data created by a set of users associated with a business entity on a database while interacting with a service associated to the database, the method comprising: monitoring the users' interactions with the database related to a creation of new data by one or more of the users over a predefined period of time when using the service; monitoring service availability during these interactions over the same predefined period of time; and changing an indexing frequency based on both parameters associated with the monitoring of the users' interactions and the service usage conditions.
Abstract:
A method is provided for optimizing future resource usage in a cloud environment including first and second cloud services. Each cloud service is associated with at least one of technical and business restrictions defining a maximum capacity. The method includes: monitoring current usage patterns of the cloud services; predicting future usage patterns based on the monitored usages; calculating an estimated future time to reach a technical or business restriction for the first cloud service based on the predicted future usage patterns; and adjusting, at a later time associated with the estimated future time, the maximum capacity associated with at least one of the first cloud service and the second cloud service based on the calculation of the estimated future time.
Abstract:
A method is provided for recommending content in a distributed database environment. The distributed database environment includes a first user, a second user, a first container of searchable data accessible by the first user and a second container of searchable data accessible by the second user. The method includes: receiving by a search routine, a selection of a first search result produced in response to a first search on a first search term by the first user in the first container; associating the selection and attributes of the selection within the first container with the first search term; performing a search, by the search routine, on a second search term that is the same or similar to the first search term according to a predefined criteria, of the second user in the second container; producing a second search result that is influenced by the associated selection and attributes.