Abstract:
A system and method for identifying trending content based on context. The method includes generating at least one signature for each of a plurality of multimedia content elements, wherein each signature represents a concept, wherein each concept is a collection of signatures and metadata describing the concept; correlating the concepts of the generated signatures to determine at least one context of each multimedia content element, wherein each context represents a sentiment; and identifying, based on the determined contexts, at least one trending multimedia content element, wherein the context of each trending multimedia content element meets a sentiment threshold.
Abstract:
A system and method for determining parameters based on multimedia content. The method includes generating at least one signature for at least one multimedia content element, wherein each signature represents a concept, wherein each concept is a collection of signatures and metadata describing the concept; analyzing the generated at least one signature, wherein the analysis includes matching the generated at least one signature to a plurality of other signatures; and determining, based on the analysis, at least one parameter for each multimedia content element.
Abstract:
A method and system for assigning a multimedia content element to a user. The method includes generating at least one signature to the multimedia content element; determining, based on the generated at least one signature, whether the multimedia content element exists in a database; and assigning a unique identifier of the user to the multimedia content element, when it is determined that the multimedia content element does not exist in the database.
Abstract:
A system and method for recommending trending content based on context. The method includes receiving a query, wherein the query indicates a user intent; searching in at least one data source for a plurality of multimedia content elements related to the user intent; generating at least one signature for each of the plurality of multimedia content elements, wherein each signature represents a concept, wherein each concept is a collection of signatures and metadata describing the concept; correlating the concepts of the generated signatures to determine at least one context of each multimedia content element, wherein each context represents a sentiment; and generating, based on the determined contexts, a recommendation of at least one multimedia content element from among the plurality of multimedia content elements.
Abstract:
A system and method for generating recommendations based on personalized multimedia content element clusters. The method includes obtaining a personalized multimedia content element cluster associated with a user, wherein the personalized multimedia content element cluster includes a plurality of multimedia content elements related to a common concept, wherein the common concept represents a user interest of the user; analyzing the obtained personalized multimedia content element cluster to determine at least one query; searching, using the determined at least one query, for at least one relevant multimedia content element that is relevant to the user interest of the user; and providing, to the user, at least one recommended multimedia content element of the at least one relevant multimedia content element found during the search.
Abstract:
Methods and systems for generating concept structures from signature reduced clusters (SRCs) are provided. The method includes retrieving at least one SRC including a cluster of signatures respective of a plurality of multimedia data elements (MMDEs); generating at least one metadata for each signature of the cluster of signatures; identifying a number of repetitions of a metadata of the at least one generated metadata; and determining whether the number of repetitions of the metadata exceeds a predefined repetition threshold; upon determining that the number of repetitions of the metadata exceeds the predefined repetition threshold, identifying the metadata as representative of the SRC; comparing the representative metadata to metadata that is representative of at least one previously generated SRC to determine a metadata match; and upon determining the metadata match, identifying the retrieved SRC and the matching previously generated SRC as a concept structure.
Abstract:
A system and method for removing contextually identical multimedia content elements. The method includes analyzing a plurality of multimedia content elements to identify at least two multimedia content elements of the plurality of multimedia content elements that are contextually identical; selecting, from among the at least two contextually identical multimedia content elements, at least one optimal multimedia content element; and removing, from a storage, all multimedia content elements of the group of contextually identical multimedia content elements other than the at least one optimal multimedia content element.
Abstract:
A system and method for detecting a target area of user interest within a multimedia content element are provided. The method includes receiving the multimedia content element from a user computing device; partitioning the multimedia content element into a number of partitions, each partition having at least one object therein; generating at least one signature for each partition of the multimedia content element, wherein each of the at least one signatures for each partition represents a concept; determining a context of the multimedia content element based on the concepts; and identifying at least one partition of the multimedia content as a target area of user interest based on the context of the multimedia content element.
Abstract:
A system and method for creating user profiles based on multimedia content. The method may include identifying a plurality of multimedia content elements associated with a user; generating at least one signature for each of the plurality of multimedia content elements; analyzing the at least one signature to identify at least one concept matching the multimedia content elements; generating, based on the at least one matching concept, at least one contextual insight, wherein each contextual insight indicates a preference of the user; and generating, based on the at least one contextual insight, a user profile for the user.
Abstract:
A method for conducting search-by-content is provided. The method includes responsive to an input multimedia content item provided to a user device, checking if the input multimedia content item matches at least one concept of a plurality of concepts cached in the user device; retrieving characteristics set for a user of the user device; performing a search, using the at least one matching concept, for multimedia content items similar to the input multimedia content item; determining which of the search results are of interest to the user based on the characteristics set for the user; and saving results that are of interest to the user in the user device, wherein the saved results include multimedia content items.