Sprint Communications Comapny L.p.

Pandora Media, Inc.

Sprint Spectrum L.p.

Tao Ye

Darryl Neil Veitch

Supratik Bhattacharyya

Gordon Parker Rios

Gianluca Iannaccone

Jean C Bolot

Hui Zang

Kyle George Lind

Avinash Sridharan

Systems and methods are provided for personalizing new song suggestions for a user. A plurality of users provides thumbs up and thumbs down ratings for a pair of songs (song A and B). A first aggregate rating for song B is calculated based on ratings given to song A by all of the users that gave a like rating to song A. Similarly, a second aggregate rating is calculated for song B based on ratings given to song B by all users that gave a dislike rating to song A. Then a user that has not previously rated song B, supplies a rating for song A. A prediction is performed of how the user will rate song B based on the user's rating of song A. For example, the first aggregate rating for song B is used if the user rated song A positively.

System and method of personalizing playlists using memory-based collaborative filtering

A content server monitors media preferences of a user associated with a partial user profile specifying partial demographic information about the user. The content server deconstructs the monitored media preferences to identify preferences of the user for musicological features of the media items. The content server infers profile information missing from the partial user profile responsive to the preferences of the user for musicological features of the media items, the inferring using baseline information associating profile information of a plurality of baseline users with preferences for musicological features of media items. The content server selects an advertisement using the inferred profile information, and provides the selected advertisement to a client device used by the user.

Advertisement selection based on demographic information inferred from media item preferences

A method, system, and media are provided for securely communicating data. One embodiment of the method includes encrypting a data stream by way of a first algorithm; creating at least two subsets of data from the data stream by extracting one or more data portions from the encrypted data stream, thereby leaving a remaining portion and an extracted portion; communicating the remaining portion to a destination by way of a first communications channel; encrypting the extracted portion utilizing a second algorithm; communicating the encrypted extracted portion to the destination by way of a second communications channel; and providing for recombining the remaining portion and the encrypted extracted portion to facilitate recovery of the encrypted data stream.

Encrypting a data transmission using multiple channels

Methods for evaluating data packets addressed to a wireless communication device are disclosed herein. When in a dormant state, a wireless communication device receives page messages indicating a source of data packets addressed to the wireless communication device and determines whether the data packets represent unwanted traffic. When in an active state, the wireless communication device examines data packets to determine if the received packets represent unwanted traffic, and in response to determining that the traffic is unwanted, the wireless communication device transitions into a dormant state or enters an idle state from which the wireless communication can transition into the dormant state.

Forced state-change to facilitate blacklist evaluation

The invention relates to a system and method for generating realistic network traffic by replaying captured network traffic using parallelized streams of subtraces. In accordance with one method of the invention, a captured trace of network traffic from a network link is provided. The captured trace is split into a number of subtraces. The subtraces are replayed and then recombined into a recombined trace, wherein the timing of packets in the recombined trace approximates the timing of packets in the captured trace.

System and method for trace replay using parallelized streams

A system and a method for detecting port scanning activities on a computer network. A probability variable is assigned to a device on a computer network. The probability variable indicates the probability that the device is conducting port-scanning activities. Data describing transmissions by the device during multiple intervals of time is accessed, and, for each of the time intervals, a determination is made concerning whether or not the device conducted port-scanning activities. Based on these determinations, the probability variable is updated for each of the time intervals.

Connectionless port scan detection on a network

The present invention describes methods, systems, and data structures to create and search index records within a trace of a packet-based communications link that has been compressed by organizing the data packets according to which flow they belong. Index points are inserted within the compressed flow trace file to create frames and index records are created and saved for each index point. Consequently, searching for a particular data packet does not require sequentially reading the compressed flow trace file, but rather locating the appropriate index record and its corresponding frame in the compressed flow trace file.

Growing community of inventors

Daly City, CA, United States of America

Tao Ye