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1564 results about "Ranking" patented technology

A ranking is a relationship between a set of items such that, for any two items, the first is either 'ranked higher than', 'ranked lower than' or 'ranked equal to' the second. In mathematics, this is known as a weak order or total preorder of objects. It is not necessarily a total order of objects because two different objects can have the same ranking. The rankings themselves are totally ordered. For example, materials are totally preordered by hardness, while degrees of hardness are totally ordered. If two items are the same in rank it is considered a tie.

Displaying and tagging places of interest on location-aware mobile communication devices in a local area network

InactiveUS20070281690A1Facilitate information sharingInformation formatContent conversionInformation networksDisplay device
Embodiments of a location-based social network manager process are described. The process is executed on a server computer coupled to a plurality of location-aware mobile communication devices over a wireless network. The process determines the geographic location of a mobile communication device operated by a user within an area, displays a map representation of the area around the mobile communication device on a graphical user interface of the mobile communication device, and superimposes on the map the respective locations of one or more other users of mobile communication devices coupled to the mobile communication device over the network. The process establishes communication links between the user and the plurality of acquaintances through respective location aware mobile communication devices through a network protocol. The process facilitates the sharing information about places of interest among a plurality of users. The system stores location information for a place of interest in a region in a database along with information related to the place of interest. The location of the place of interest is displayed on each user's mobile communication device as an icon superimposed on the map shown on the display. The location of the users can be established with respect to their distance relative to a place of interest. Users can define their own places of interest as well as provide a quantitative or qualitative ranking for places of interest within a region. This information can then be shared with other users in the network.

Methods and apparatus for awarding prizes based on authentication of computer generated outcomes using coupons

The present invention provides authentication of computer generated game or test results (“outcomes”), and a system by which persons who play games or take tests on a game or testing computer, respectively, may submit the outcomes of the games or tests to a central authority having at least one central computer, and have the central computer “certify” those outcomes as being accurately reported and fairly achieved. This certification of the computer generated result constitutes a “remote-auditing” of the activity taking place on the game computer. In one application, the system enables computer generated game tournaments in which players play the games on game computers and compete against each other by submitting the outcomes for those tournament games to the central computer, which certifies the outcomes and rates and ranks the players. In another application, the system provides for players of computer games to obtain a certified ranking and rating without participation in a tournament. In other embodiments, the system provides for self-authentication and certification of outcomes for games played on the game computer itself, or for mutual-authentication and certification of such outcomes on any other game computer in the system.

Internet-based system for identification, measurement and ranking of investment portfolio management, and operation of a fund supermarket, including "best investor" managed funds

InactiveUS20010042037A1Easy to analyzeFinanceDigital computer detailsDecision toolCommon fund
Internet-based business system and management programs therefor, and more particularly to financial investment management characterized by a unique system of attracting and identifying the Best Investors, including offering, facilitating and managing performance-based investment competitions based on model (virtual) investment portfolios, creating actual portfolios for the identified Best Investor, creating and operating actual mutual funds based on the identified Best Investors as fund managers, and providing a full suite of related subscriber and investor services associated therewith as a fund supermarket. The invention includes facilitation of daily feedback of one or more significant and appropriate financial performance metric(s), preferably the NAV (iTAV), of identified stocks and funds. Performance ranking of advice is provided so that the investor knows the track record (ranking), on an ongoing basis, of a particular advisor, thereby establishing credibility of comments. Important analytic tools are provided, including unique reports on: Overall Performance, Stratification, Volatility, Market Timing, Fundamentals, and GS/E or GE/S Ratio, which function as powerful decision tools for the site members, fund managers and subscribers. The top 100 Best Investors are recognized as the m100, which may be a list, a tracked index, and a Fund.

System and method for recommending items of interest to a user

A system and method is disclosed for recommending items to individual users using a combination of clustering decision trees and frequency-based term mapping. The system and method of the present invention is configured to receive data based on user action, such as television remote control activity, or computer keyboard entry, and when a new item data is made available from sources such as television program guides, movie databases, deliverers of advertising data, on-line auction web sites, and electronic mail servers, the system and method analytically breaks down the new item data, compares it to ascertained attributes of item data that a user liked in the past, and produces numeric ranking of the new item data dynamically, and without subsequent user input, or data manipulation by item data deliverers, and is tailored to each individual user. A embodiment is disclosed for learning user interests based on user actions and then applying the learned knowledge to rank, recommend, and/or filter items, such as e-mail spam, based on the level of interest to a user. The embodiment may be used for automated personalized information learning, recommendation, and/or filtering systems in applications such as television programming, web-based auctions, targeted advertising, and electronic mail filtering. The embodiment may be structured to generate item descriptions, learn items of interest, learn terms that effectively describe the items, cluster similar items in a compact data structure, and then use the structure to rank new offerings. Embodiments of the present invention include, by way of non-limiting example: allowing the assignment of rank scores to candidate items so one can be recommended over another, building decision trees incrementally using unsupervised learning to cluster examples into categories automatically, consistency with “edge” (thick client) computing whereby certain data structures and most of the processing are localized to the set-top box or local PC, the ability to learn content attributes automatically on-the-fly, and the ability to store user preferences in opaque local data structures and are not easily traceable to individual users.
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