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.
Abstract:
A system and method for generating a facial representation. The method includes identifying, via at least one data source, at least one multimedia content element; generating at least one signature for at least a portion of each identified multimedia content element, wherein each generated signature represents at least one facial concept; analyzing the generated signatures to determine a cluster of signatures of facial concepts; and generating, based on the cluster of facial concept signatures, a facial representation.
Abstract:
A method for determining a pupillary response to a multimedia data element viewed through a user computing device. The method comprises receiving a first image of a viewer's pupil captured prior to display of the MMDE over the user computing device; receiving a second image of a viewer's pupil captured after the display of the MMDE over the user computing device; determining, using the first image and the second image, if the viewer's pupil has been dilated; querying a deep-content-classification system to find a match between at least one concept structure and the at least second image of the user's pupil; upon identification of at least one matching concept, receiving a first set of metadata related to the at least one matching concept structure; determining the viewer's attention to the displayed MMDE respective of the first set of metadata; associating the at least one MMDE with the determined user attention.
Abstract:
A method and system for generating a complex signature respective of a multimedia data element (MMDE) are provided. The method includes partitioning the MMDE into a plurality of different minimum size MMDEs; generating, for each of the different minimum MMDEs, at least one signature, wherein generation of each at least one signature is performed by a plurality of computational cores, each computational core having at least one configurable property characterizing the core, and wherein configuration of the at least one configurable property respective of each core results in statistical independence among the plurality of cores; and assembling at least a complex signature for the MMDE comprised of a plurality of the generated signatures.