There is provided a method for searching a plurality of information sources using a multimedia element, the method may include receiving at least one multimedia element; generating, by a signature generator, for the at least one multimedia element at least one signature that is unidirectional, and yields compression; generating at least one textual search query using the at least one signature; wherein the generating of the textual search query comprises: (a) searching for at least one matching stored signature that matches one or more of the at least one signature; and (b) using a mapping between stored signatures and textual search queries, selecting at least one textual search query mapped to at least one matching stored signature; searching the plurality of information sources using the at least one textual search query; and causing a display of search results retrieved from the plurality of information sources.

A method includes obtaining feature generation code from, which is configured to determine features relating to input data. The method further includes obtaining data grouping code, which is configured to generate training data by determining a plurality of data groupings for the features relating to the input data. The method further includes obtaining modeling code, which is derived at least in part by applying one or more machine learning algorithms to the training data. The method further includes applying a model wrapper code to the feature generation code, the data grouping code, and the modeling code to generate a model wrapper and deploying the model wrapper such that the model wrapper may receive a first application programming interface (API) call including an input data value, determine a score relating to the input data value, and send a second API call including the score in response to the first API call.

In one embodiment, one or more computing devices receives, from a first user, a request to search for compatible users, wherein the first user is associated with a set of first expressed interests, accesses one or more sets of second expressed interests of one or more second users, respectively, normalizes the set of first expressed interests and the sets of second expressed interests to obtain a set of first normalized interests and one or more sets of second normalized interests, respectively, calculates, for each set of second expressed interests, an interest compatibility score based at least in part on a probability that a user will express one or more pairs of a first normalized interest and a second normalized interest, and sends, to the first user, information associated with one or more of the second users based on the calculated interest compatibility scores.

A method includes obtaining feature generation code from, which is configured to determine features relating to input data. The method further includes obtaining data grouping code, which is configured to generate training data by determining a plurality of data groupings for the features relating to the input data. The method further includes obtaining modeling code, which is derived at least in part by applying one or more machine learning algorithms to the training data. The method further includes applying a model wrapper code to the feature generation code, the data grouping code, and the modeling code to generate a model wrapper and deploying the model wrapper such that the model wrapper may receive a first application programming interface (API) call including an input data value, determine a score relating to the input data value, and send a second API call including the score in response to the first API call.

A method and system for identifying social trends are provided. The method includes collecting multimedia content from a plurality of data sources; gathering environmental variables related to the collected multimedia content; extracting visual elements from the collected multimedia content; generating at least one signature for each extracted visual element; generating at least one cluster of visual elements by clustering at least similar signatures generated for the extracted visual elements; correlating environmental variables related to visual elements in the at least one cluster; determining at least one social trend by associating the correlated environmental variables with the at least one cluster.

A system and method for enriching a concept database with homogenous concepts. The method includes determining, based on signatures of a first multimedia content element (MMCE) and signatures of a plurality of existing concepts in the concept database, at least one first concept; generating a reduced representation of the first MMCE, wherein the reduced representation excludes the signatures of the first MMCE that match the at least one first concept; comparing the reduced representation to signatures representing a plurality of second MMCEs to select a first plurality of top matching second MMCEs; generating, based on the reduced representation and the first plurality of top matching second MMCEs, at least one second concept; determining, for each second concept, whether the second concept is a homogenous concept, wherein each homogenous concept uniquely represents the same content; and adding each homogenous concept to the concept database.

Techniques associated with data management and distribution are described, including receiving at a content distribution and management system activity data associated with a user from a client, the client having an interface configured to display commercial content and a player configured to access the content distribution and management system, storing the activity data in a database, displaying the commercial content using the interface, receiving other activity data associated with the user from the client, storing the other activity data in the database, determining other commercial content to display using the activity data and the other activity data, and displaying the other commercial content.

A method and system for populating a concept database based on a plurality of multimedia data elements (MMDEs) and at least one user identifier, the concept database including a plurality of concept structures. The method includes clustering a plurality of signatures of the plurality of MMDEs into a cluster of signatures; reducing the number of signatures in the cluster to a create a signature reduced cluster (SRC); generating, based on the SRC and the plurality of concept structures, an index, wherein the index maps the plurality of MMDEs to a matching concept structure of the plurality of concept structures; associating the index with a user based on the at least one user identifier; and storing the index and the plurality of MMDEs in the concept database.

A network database system wherein clients of subscribing entities are authorized network access to reliable documents that are identified by each entity as being relevant to clients of that entity. Features that can be included in the system are customization of the documents to reflect sourcing by particular subscribers, automated formatting of the documents for storing in a network database, client access facilitated by subscriber-maintained databases, and the avoidance of cookies remaining on clients' computer hard drives following document access. Also disclosed is a method for processing repeated data requests on a distributed computer database.

A computer-implemented system and method for selecting documents for review is provided. A master array of messages and topics for the messages is generated. The messages in the master array are sorted by the topics and the sorted messages are processed. During processing, each message in the master array is identified as unique, duplicate, or near duplicate. The unique messages are extracted from the duplicate and near duplicate messages, and entered into a log by creating a log entry for each of the unique messages. Each log entry includes a source of and identification information for one of the unique messages. The unique messages are then provided for document review.