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| 20120150642 | ARTIFICIAL INTELLIGENCE-BASED RECOMMENDER AND SELF-PROVISIONER - A method including providing at least one of a phone service, an Internet access service, or a television service to customers; identifying a customer when the customer uses the at least one of the phone service, the Internet access service, or the television service; selecting products or services for which the customer qualifies based on the identifying; gathering customer-specific data for the customer; generating recommendations that pertain to the at least one of the phone service, the Internet access service, or the television service for the customer based on the products or the services for which the customer qualifies, the customer-specific data, and other factors, wherein the other factors include at least one of a location of the customer or a time in which the recommendations is to be provided to the customer; and providing the recommendations to the customer via the at least service. | 06-14-2012 |
| 20120151514 | INTELLIGENT OFFER GENERATION - A method may include receiving a user request to view a channel to which the user does not currently subscribe. Customer information regarding the user and marketing rules regarding a plurality of combination offers that include the channel may be obtained. A number of combination offers from the plurality of combination offers may be determined based on the customer information and the marketing rules. One or more of the determined combination offers may be provided to the user. A user request to purchase a selected one of the provided combination offers may be received. The channels included within the selected combination offer may be provisioned based on the user request. | 06-14-2012 |
| 20120151533 | MULTI-SERVICE STORE - A method may include obtaining customer information regarding the user and marketing rules regarding a plurality of store offerings. A number of store offerings from the plurality of store offerings may be identified based on the customer information and the marketing rules. One or more of the identified store offerings may be provided to the user. A user request to purchase a selected one of the provided store offerings may be received. The content or services associated with the selected store offering may be provisioned based on the user request. | 06-14-2012 |
| 20130036443 | INTERACTIVE AND PROGRAM HALF-SCREEN - A method and system that provides a television service via a customer device; receives a customer input to invoke an interactive mode pertaining to the television service; retrieves a graphical user interface that includes an interactive and program half-screen comprising an interactive half-screen and a program half-screen, wherein the interactive half-screen is substantially a same size as a program half-screen, and the interactive half-screen and the program half-screen occupy an entire size of the graphical user interface; and displays the graphical user interface via the customer device, wherein the interactive half-screen includes one or more interactive graphical elements and the program half-screen includes a program window to display a program. | 02-07-2013 |
| 20130042269 | INTERACTIVE MASTHEAD - A method and system that provides a television service; receives a customer input to access a graphical user interface that includes a main menu pertaining to the television service; retrieves the graphical user interface; and displays the graphical user interface via the customer device, wherein the graphical user interface includes a main menu body and an interactive masthead having an interactive element that permits a customer to access content via the interactive element. | 02-14-2013 |
| 20130042284 | PAY-PER-VIEW PORTAL - A method and system that provides customers a pay-per-view portal, accessible via a television service, a mobile service, or an Internet service. The pay-per-view portal permits customers to search for pay-per-view programs and provide search results that include related content to pay-per-view programs including related videos, articles, biographical summaries, stats on players or fighters, and images. The pay-per-view portal provides personalized pay-per-view program recommendations, pay-per-view calendars, and sub-portals directed to categories or sub-categories of pay-per-view programs. The pay-per-view portal also provides the ordering and purchasing of pay-per-view programs days, weeks, or months in advance of the airing of the pay-per-view programs. | 02-14-2013 |
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| 20140047473 | BEHAVIORAL KEYWORD IDENTIFICATION BASED ON THEMATIC CHANNEL VIEWING - A method, performed by a computer device, may include obtaining a viewing history, associated with a customer, from a set-top box associated with the customer, wherein the viewing history relates a particular television channel to a duration time associated with the particular television channel. The method may further include determining a keyword, associated with the customer, based on the obtained viewing history; calculating a keyword score for the keyword based on the obtained viewing history; selecting an advertisement, associated with the keyword, based on the calculated keyword score; and providing the selected advertisement to the set-top box associated with the customer, based on selecting the advertisement. | 02-13-2014 |
| 20140188900 | METHOD AND SYSTEM FOR PATTERN-BASED COMPRESSION - An approach for generating a pattern-based database includes accessing a log specifying one or more strings representing data having a dynamic portion and a static portion, and generating a pattern-based database, including one or more records representing compression of the data, by determining the dynamic portions and the static portions of the strings, and assigning pattern values to the strings based on the determined dynamic portions and the static portions, wherein the pattern values are used to provide compression of the static portions within the records of the pattern-based database. | 07-03-2014 |
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| 20120291057 | PROBABILISTIC-BASED CONTENT RECOMMENDER - A method including providing a television service to customers; identifying a customer when the customer uses the television service; tracking content viewed by the customer; calculating probabilities based on the customer's viewing of contents, wherein the probabilities pertain to features applicable to the viewed contents and the features include genres of the viewed contents; selecting one or more upcoming contents, available at a future date to the customer, to recommend to the customer based on one or more features applicable to the upcoming content that correspond to one or more features applicable to the viewed contents; and providing a user interface to permit the customer to select from the one or more upcoming contents recommended to the customer. | 11-15-2012 |
| 20120303600 | SEMANTIC-BASED SEARCH ENGINE FOR CONTENT - A method storing information that indicates similarity between contents based on content metadata associated with each content, wherein a degree of similarity between contents is based on a semantic interpretation of plot metadata included in content metadata and pertaining to each plot associated with each content; receiving a search query from a user; retrieving one or more content metadata pertaining to one or more contents based on the search query; retrieving one or more recommended content metadata pertaining to one or more recommended contents that are similar to the one or more content metadata pertaining to the one or more contents based on the stored information; and providing a search result that includes the one or more content metadata and the one or more recommended content metadata via a user interface. | 11-29-2012 |
| 20120311619 | CONTENT PERSONALITY CLASSIFIER - A method including identifying a customer when the customer uses a television service; storing contents that are each tagged with a Myers-Briggs Type Indicator or one or more personality characteristics pertaining to a Myers-Briggs Type Indicator; selecting contents from the stored contents; providing a user interface to permit the customer to choose from a selection of the stored contents to rate; receiving ratings of a chosen contents from the customer; identifying the customer's Myers-Briggs Type Indicator based on the received ratings; and providing the customer's Myers-Briggs Type Indicator to the customer. | 12-06-2012 |
| 20130246155 | DIGITAL CONTENT PURCHASE OFFERS VIA SET-TOP BOX - A network device receives details of a purchase offer for digital content, where the purchase offer includes a price for the digital content at a required customer purchasing participation threshold, and where the required customer purchasing participation threshold includes a number of customers that must agree to purchase the digital content at the price for the purchase offer to be fulfilled. The network device targets multiple customers based on customer profile data, and presents the purchase offer to the multiple customers, via multiple different devices associated with respective ones of the multiple customers, during the offer period. The network device charges participating customers the purchase offer price, if the purchasing participation threshold is reached by expiration of the offer period; and notifies the participating customers of expiration of the purchase offer, if the purchasing participation threshold is not reached by the expiration of the offer period. | 09-19-2013 |
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| 20080279102 | PACKET DROP ANALYSIS FOR FLOWS OF DATA - In one embodiment, a method includes determining that a packet has been dropped for a flow of packets between a source and destination. This may be determined at a network device that is forwarding the packets. Information related to a possible cause for the packet being dropped is then determined. For example, a context as to why the packet is dropped may be determined. The context is then associated with information for the flow and is useful to perform a packet drop analysis for the flow. For example, a source and destination for the flow is recorded along with the possible cause of the packet drop. This information may be stored and sent to an aggregation device. The aggregation device may then analyze the entry, possibly along with other entries from this network device or other network devices, and determine any troubleshooting information for the packet drops. | 11-13-2008 |
| 20110289181 | Method and System for Detecting Changes in a Network Using Simple Network Management Protocol Polling - In an embodiment, methods and systems have been provided for detecting changes in a network using improved Simple Network Management Protocol (SNMP) polling that reduces network traffic. Examples of changes in the network include, but are not limited to, configuration and behavioral changes in a network device, and response of network device to a network change. A Network Management Station (NMS) periodically polls Management Information Base (MIB) groups instead of periodically polling individual MIB object instances. The NMS receives the Aggregate Change Identifiers (ACIs) of MIB groups in response to polling, from a SNMP agent. The changes in the received ACIs represent the changes in the MIB groups. A change in an MIB group represents changes in the MIB object instances of the MIB group. The ACIs can be checksum, timestamp, and a combination of number of MIB object instances in a group and checksum of the MIB group. | 11-24-2011 |
