Patent application number | Description | Published |
20130247214 | Anonymization of Data Over Multiple Temporal Releases - The present disclosure is directed to systems, methods, and computer-readable storage media for anonymizing data over multiple temporal releases. Data is received, and nodes and connections in the data are identified. The data also is analyzed to identify predicted connections. The nodes, the connections, and the predicted connections are analyzed to determine how to group the nodes in the data. The data is published, and the grouping of the nodes is extended to subsequent temporal releases of the data, the nodes of which are grouped in accordance with the grouping used with the data. | 09-19-2013 |
20140358630 | APPARATUS AND PROCESS FOR CONDUCTING SOCIAL MEDIA ANALYTICS - A system, apparatus and method for performing social media analytics for a movie are provided. The present disclosure provides for a social media analytics platform that builds a rich landscape of interests of movie audiences by mining data from social networking or microblogging services, such as Twitter™. The present disclosure provides for associating at least one user with a movie; collecting, for the at least one associated user, at least one of user location data, user interest data, user-cited website data, and user television viewing habits data from a social networking or microblogging service; processing the collected data to generate movie campaign data, the movie campaign data including at least one of movie marketing data, movie advertising data, and movie distribution data; and providing the at least one movie marketing data, movie advertising data, and movie distribution data for display in a user interface. | 12-04-2014 |
20150058277 | NETWORK INFERENCE USING GRAPH PRIORS - A method for observing social network propagation commences by establishing a graph of the social network, the graph having nodes and edges. Thereafter a graph prior is determined that reflects the graph's structure. A set of edge probabilities between nodes in the graph is iteratively optimized a using the graph prior, wherein each of said edge probabilities represents a probability of a first node influencing a second node. | 02-26-2015 |
20150112812 | METHOD AND APPARATUS FOR INFERRING USER DEMOGRAPHICS - A method to determine demographic information of a new user utilizing only ratings includes training an inference engine informed with a training data set which includes ratings and demographic information from a plurality of other users. The new user inputs ratings, such as movie ratings, and an inference engine determines demographic information of the new user. The demographic information of the new user can then be used to provide recommendations or to provide targeted advertisements to the new user. | 04-23-2015 |
20150161628 | SCIENTIFIC CASTING METHOD AND APPARATUS - A method for recommending at least one element of an audio-visual program commences by first determining the success of an audio-visual program composed of a set elements initially selected by a user. Thereafter, a replacement element is substituted for at least one of the initially selected elements and the success of the audio-visual program with the replacement element is determined. Thereafter, the replacement element is recommended for substitution in place of the at least one initially selected element if substituting replacement element in the audio-visual program yields greater success. | 06-11-2015 |
20150199715 | SYSTEM AND METHOD FOR RECOMMENDING ITEMS IN A SOCIAL NETWORK - The present principles consider stochastic bandits with side observations, a model that accounts for both the exploration/exploitation dilemma and relationships between arms. In this setting, after pulling an arm i, the decision maker also observes the rewards for some other actions related to i. The present principles provide a method and a system for efficiently leveraging additional information based on the responses provided by other users connected to the user via a computerized social network and derive new bounds improving on standard regret guarantees. We will see that this model is suited to content recommendation in social networks, where users' reactions may be endorsed or not by their friends. | 07-16-2015 |
20150339493 | PRIVACY PROTECTION AGAINST CURIOUS RECOMMENDERS - A method and apparatus for protecting user privacy in a recommender system are described including determining what information to release to a user for a movie, transmitting the information to the user, accepting obfuscated input from the user and estimating the user's non-private feature vector. Also described are a method and apparatus for protecting user privacy in a recommender system including receiving movie information, accepting a user's movie feedback, accepting user's private information, calculating an obfuscation value and transmitting the obfuscation value. | 11-26-2015 |
20150339687 | PROPOSING OBJECTS TO A USER TO EFFICIENTLY DISCOVER DEMOGRAPHICS FROM ITEM RATINGS - The current methods and apparatus provide a system that learns a private attribute, such as gender, based on at least one iteration of presenting an item to a user and receiving ratings from the user for this item. In an exemplary embodiment, the system may solicit ratings for strategically selected items, such as movies for example, and then infers the user's gender. Based on the assessed confidence in the demographic selected, the system may repeat the selection, presentation and ratings of another item. The proposed system can strategically select the sequence of items that are presented to the user for a rating. By selecting the next item to be rated based on a maximum posterior probability confidence, a demographic with a certain threshold of confidence can be inferred. The inventive arrangements are based on novel usage of Bayesian matrix factorization in an active learning setting. Such a system is shown to be feasible and can be carried out using significantly fewer rated items than previously proposed static inference methods. | 11-26-2015 |