Abstract:
A method and system for unsupervised clustering of multimedia content are provided. The method includes generating a plurality of clusters, each cluster containing at least a data element; generating for each of the plurality of clusters a corresponding signature; matching each of the signatures to all other signatures; determining a clustering score for each match; clustering multimedia data elements of each pair of clusters of the plurality of clusters that are determined to have a clustering score above a threshold value to create at least a first cluster; and storing the at least a first cluster in a storage unit.
Abstract:
A method and system for providing recommendations to multimedia content elements of interest to a user. The method comprises receiving at least one multimedia content element; generating at least one signature for the received multimedia content element; querying a user profile of the user to determine a user interest; searching, by means of the at least one generated signature, through a plurality of data sources for multimedia content elements matching the determined user interest; and returning the matching multimedia content elements to the user node as recommendations.
Abstract:
A method and system for providing contextual filters respective of an identified context of a plurality of multimedia content elements are provided. The method comprises receiving the plurality of multimedia content elements; generating at least one signature for each of the plurality of multimedia content elements; determining a context of each of the plurality of multimedia content elements based on its respective at least one signature, wherein a context is determined as the correlation among a plurality of cluster of signatures; and providing at least one contextual filter respective of the context of each of the plurality of multimedia content elements.
Abstract:
A method and system for determining causality based on big data analysis are provided. The method comprises extracting a plurality of unstructured data elements from a plurality of unstructured big data sources; generating at least one signature for each of the plurality of unstructured data elements; identifying at least one common pattern within the signatures of the plurality of unstructured data elements; matching the at least one common pattern to at least one hypothesis by comparing at least one signature of the common pattern to at least one hypothesis; and determining the causality of the at least one common pattern based on the at least one hypothesis matching the at least one common pattern.
Abstract:
A system and method for monitoring a brand sentiment through a plurality of different web sources are provided. The method comprises receiving a request to monitor a brand; searching the plurality of web sources for multimedia content elements related to the brand; generating at least one signature for each multimedia content element determined to be related to the brand, wherein each of the at least one generated signatures represents a concept; and correlating the concepts respective of the generated signatures to determine a context of the multimedia content elements determined to be related to the brand, wherein the context is the brand sentiment.
Abstract:
A method and system for determining a context of a web-page containing a plurality of multimedia content elements. The method comprises receiving a uniform resource locator (URL) of the web-page; downloading the web-page respective of the received URL; analyzing the web-page to identify the existence of each of the plurality of multimedia content elements; generating at least one signature for each of the plurality of multimedia content elements, wherein each of the generated signatures represents a concept; and correlating the concepts respective of the generated signatures to determine the context of each of the plurality of multimedia content elements, thereby determining the context of the web-page.