A method for providing a search result list. The method includes receiving a search request from a searcher (12). In a database of search listings (24) in which each search listing is associated with an advertiser (30) and includes at least one search term and a bid amount by the advertiser, search listings generating a match with the search request are identified. A predetermined number of identified search listings (38) are selected according to bid amount for display to the searcher (16). The identified search listings are arranged for display in a random order as the search result list. The search result list is then communicated to the searcher.

Improved system and method for influencing a position on a search result list generated by a computer network search engine

An interactive television program guide system is provided. An interactive television program guide provides users with an opportunity to select programs for recording on a remote media server. Programs may also be recorded on a local media server. The program guide provides users with VCR-like control over programs that are played back from the media servers and over real-time cached copies of the programs. The program guide also provides users with an opportunity to designate gift recipients for whom programs may be recorded.

Client-server based interactive television program guide system with remote server recording

Unconventional Translation of C9ORF72 GGGGCC Expansion Generates Insoluble Polypeptides Specific to c9FTD/ALS

A client-server interactive television program guide system is provided. An interactive television program guide client is implemented on user television equipment. The interactive television program guide provides users with an opportunity to define expressions that are processed by the program guide server. The program guide server may provide program guide data, schedules reminders, schedules program recordings, and parentally locks programs based on the expressions. Users' viewing histories may be tracked. The program guide server may analyze the viewing histories and generates viewing recommendations, targets advertising, and collects program ratings information based on the viewing histories.

Client-server electronic program guide

Systems and methods for data classification to facilitate and improve data management within an enterprise are described. The disclosed systems and methods evaluate and define data management operations based on data characteristics rather than data location, among other things. Also provided are methods for generating a data structure of metadata that describes system data and storage operations. This data structure may be consulted to determine changes in system data rather than scanning the data files themselves.

Systems and methods for classifying and transferring information in a storage network

A system, including a planning module, a control module and a receiver module, configured to schedule display of one or more advertising impressions of available advertising inventory. The planning module enables scheduling a requested quantity of advertising impressions in accordance with target criteria. Further, the planning module enables selecting an advertising impression goal for advertisement, assigning an advertising type and defining a weight for the advertisements. The control module receives the schedule, the advertising type and the defined weights and generates one or more metadata files that contain target criteria, advertising type and weights for the advertisements. The one or more metadata files, with the advertisements, are delivered to the receiver module that is configured to define a display frequency for the advertisements based upon one or more of the metadata files. The receiver module selectively displays advertisement content associated with the advertisements to achieve the advertising impression goal.

Methods and systems for selectively displaying advertisements

A system, including a planning module, a control module and a receiver module, configured to schedule display of advertisements to achieve an advertising impression goal. The planning module enables scheduling of advertising impressions in accordance with target criteria. Further, the planning module enables selecting an advertising impression goal for advertisements, assigning an advertising type and defining a weight for the advertisement. The control module receives the schedule, the advertising type and the defined weights and generates one or more metadata files that contain target criteria, advertising type and weights for the advertisement. The one or more metadata files and advertising content for the advertisement, are delivered to the receiver module that is configured to define a display frequency for the advertising content based upon one or more of the metadata files. The receiver module selectively displays the advertising content of the advertisement to achieve the advertising impression goal.

Methods and systems for planning advertising campaigns

The present invention is related to a system and method of caching data employing probabilistic predictive techniques. The system and method has particular application to multimedia systems for providing local storage of a subset of available viewing selections by assigning a value to a selection and retaining selections in the cache depending on the value and size of the selection. The value assigned to an item can represent the time-dependent likelihood that a user will review an item at some time in the future. An initial value of an item can be based on the user's viewing habits, the user's viewing habit over particular time segment (e.g., early morning, late morning, early afternoon, late afternoon, primetime, late night) and/or viewing habits of a group of user's during a particular time segment. A value assigned to a selection dynamically changes according to a set of cache retention policies, where the value can be time-dependent functions that decay based on the class of the item, as determined by inference about the class or via a label associated with the item. A selections value may be reduced as the selection ages because a user is less likely to view the selection over time. Additionally, a value of a selection may change based on changes on a user's viewing habits, changes in time segments or a user's modification of the cache retention policies.

Training, inference and user interface for guiding the caching of media content on local stores

Described are methods and apparatus that allow viewers to access timely data showing what other viewers are watching at (or near) a given moment. Thus, for example, a viewer could tune in, find out which ten programs currently being broadcast are most popular, and then select from among these programs. In one embodiment, the data is displayed with links to those popular programs so viewers can easily tune to listed programs. In another embodiment, the viewer can identify a group of friends and find out what those friends are watching. The viewer could then tune into one of the programs his or her friends are watching, and so be prepared to discuss that program later.

Method and apparatus for alerting a television viewers to the programs other viewers are watching

The present invention is related to a system and method of considering time segments or intervals in a collaborative filtering model. The present invention extends collaborative filtering approaches by integrating considerations of temporality into the training and/or vote input associated with the usage of collaborative filtering models. The present invention also applies filtering to the output with temporal models, so as to view a most appropriate subset of recommended content, centering on content that may be available at a target time. The present invention applies time to a collaborative filtering model by allowing weight to be associated with selections within a current time segment, selections historically watched within the current time segment by the user and selections historically watched within the current time segment by a large group of users.

Stuart Ozer

Papers

Methods and systems for selectively displaying advertisements

Methods and systems for planning advertising campaigns

Training, inference and user interface for guiding the caching of media content on local stores

Method and apparatus for alerting a television viewers to the programs other viewers are watching

Time-centric training, interference and user interface for personalized media program guides