1564 results about "Ranking" patented technology

An improved human user computer interface system, wherein a user characteristic or set of characteristics, such as demographic profile or societal “role”, is employed to define a scope or domain of operation. The operation itself may be a database search, to interactively define a taxonomic context for the operation, a business negotiation, or other activity. After retrieval of results, a scoring or ranking may be applied according to user define criteria, which are, for example, commensurate with the relevance to the context, but may be, for example, by date, source, or other secondary criteria. A user profile is preferably stored in a computer accessible form, and may be used to provide a history of use, persistent customization, collaborative filtering and demographic information for the user. Advantageously, user privacy and anonymity is maintained by physical and algorithmic controls over access to the personal profiles, and releasing only aggregate data without personally identifying information or of small groups.

An improved system for accessing data within a distributed data storage network (“DDSN”) is disclosed. In a system implementing the disclosed invention, traffic is routed to individual slice servers within the DDSN in accordance with objective criteria as well as user-defined policies. In accordance with one aspect of the disclosed invention, when a data segment is written to a DDSN, the segment is divided into multiple data slices, which are simultaneously transmitted to different slice servers. In accordance with another aspect of the disclosed invention, when a data segment is read from a DDSN, a list of slice servers, each containing a data slice that could be used to reconstruct the requested data segment, is assembled, and sorted in accordance with a preference rating assigned to each of the slice servers. Sufficient data slices to reconstruct the data segment are then read in accordance with the preference ranking of the slice servers.

A community media playlist sharing system is disclosed, wherein system users can upload media playlists which are automatically converted to a standardized format, media playlists can be shared with other users of the community media playlist sharing system, users can link to other playlists and obtain media from playlists automatically from third party points of purchase, users can provide recommendations, ratings and rankings relative to other playlists by system users and receive recommendations from other users and an editorial staff, participate in social networking functions including forums, discussions, weblogs, playlist topic groups and inter-user communications based on affinity for similar playlists, create playlists manually, automatically, or in real time, and wherein system users can obtain points for participation and popularity in the system and obtain profit by meta-affiliate sharing of profit for purchases of music made through playlists submitted by that user as well as through playlist toolbars distributed to third party websites.

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.

An online social networking system can be used to rank social network objects of various different object types, each according to its type. The objects may comprise types such as users, communities, blogs, blog entries, events, forums, forum topics, postings, photographs, and/or images. The product comprises code for carrying out a method that begins with receiving ranking data about social network objects that comprises data about events performed on the social network. For each social network object, a ranking function is applied to ranking data about the social network object based on its type. In addition, the recency of an event on the social network related to the social network object is evaluated, in order to calculate the score for the social network object. A relative ranking for each of the plurality of social network objects based on its score is determined, and the score and relative ranking of each of the social network objects stored.

A method and system that dynamically ranks electronic messages based on their situational and inherent dimensions, which are judged by a set of filters. These filters evaluate the different elemental metadata constituting a message and produce a priority value based on filters relevance and importance. The system iterates through queued messages, examine the structured content for expected attributes, statistically analyze unstructured content, apply dynamically weighted rules and policies to deliver a priority ranking, and then display the message and its vital attributes in accordance with the priority ranking. The system also adaptive learns and adjusts its weighted rules and policies to permit priority ranking to change on real-time or interval-based (may be user-defined) schedule. The system includes a GUI for increasing reading and processing efficiency. The GUI performs supervised and unsupervised learning from the user's behaviors, and displays messages in accordance with their priority classification.

The present invention presents embodiments of methods, systems, and computer-readable media for advanced computer file organization, computer file and web search and information retrieval, and intelligent assistant agent to assist a user's creative activities. The embodiments presented herein categorize search results based on the keywords used in the search, provide user selectable ranking, use user's search objectives and advices to refine search, conduct search within an application program and using a file based, provide always-on search that monitors changes over a period of time, provide a high level file system that organizes files into categories, according to relations among files, and in ranking orders along multiple categorization and ranking dimensions and multiple levels of conceptual relationships, conduct searches for associations between keywords, concepts, and propositions, and provide validations of such associations to assist a user's creative activity.

Methods, systems, and media for content ranking using real-time data are provided. In accordance with some embodiments of the present invention, a method, implemented on a processor, for ranking content is provided. The method can include, among other things: receiving real-time information from a plurality of sources; supplementing the received real-time information with historical information and user influence information; analyzing the supplemented real-time information from the plurality of sources to determine real-time trend information; receiving a plurality of content snippets from a content provider; detecting similarities between each of the plurality of content snippets and the determined real-time trend information; ranking the plurality of content snippets based on the detected similarities; and displaying the ranked plurality of content snippets.

Conversations in an online content universe are monitored. A conversation index is generated in social media. An individual conversation is defined by user-selectable input terms. Publishers that influence a conversation are identified. The system generates an influence ranking of site's that influence a particular conversation. The system permits ads to be placed on sites based on the sites influence on the conversation. The system can be updated to permit ads to be targeted based on current influence rankings. The influence ranking is used to perform online advertising targeting and placement. Additional marketing filters, such as demographics, historical performance, and return on investment, may be used to adjust an initial influence ranking based. The ad placement may also be expanded to include related conversations, inlinking sites, and/or outlinking sites.

A storage server comprising: a processing unit, a bus system coupled with the processing unit, including a plurality of slots, slots in the plurality of slots including interfaces to respective data stores; a communication interface; and an operating system coupled with the processing unit the operating system including: logic controlling transfers among the plurality of slots over the bus system according to an internal format, logic for translating a storage transaction received over the communication interface into the internal format, and logic for configuring the plurality of slots according to a configuration data.

Social media content items are mapped to relevant time-based media events. These mappings may be used as the basis for multiple applications, such as ranking of search results for time-based media, automatic recommendations for time-based media, prediction of audience interest for media purchasing/planning, and estimating social interest in the time-based media. Social interest in time-based media (e.g., video and audio streams and recordings) segments is estimated through a process of data ingestion and integration. The estimation process determines social interest in specific events represented as segments in time-based media, such as particular plays in a sporting event, scenes in a television show, or advertisements in an advertising block. The resulting estimates of social interest also can be graphically displayed.

A solution for evaluating a plurality of entities includes assigning an attribute score to each entity for each of a multitude of attributes. For one or more of the attributes, the corresponding attribute score is assigned based on a ranking of each entity with respect to the other entities for the attribute. A composite score is generated for each entity based on the attribute scores for the attributes, which can be further processed to, for example, identify a set of suspicious entities.

A system and process for providing safety limits on the delivery of an infusion formulation by an infusion pump system in response to a sensed biological state. The safety limits may comprise user-initiated event signals corresponding to events that may significantly affect the biological state. The safety limits may further comprise user-initiated event ranking signals for respective events which specify a degree, quantity, or measure for the respective event. The user-initiated event and event ranking signals may be communicated to a computing element associated with the infusion pump by an associated communication device having a user interface which comprises a plurality of user-selectable operators for entering information about the events and event rankings.

A device, system and method to enable communications over a network wherein a user may conduct a search directed to target contacts within a social network. A knowledge base of prior social search responses may be searched for responses from the target contacts with the results being presented to the user. The results of the search can be sorted along with responses received from the target contacts. The selection of target contacts and presentation of results can be based on various attributes of target contacts or ranking of the prior search responses. The search responses received by the user along with attributes and rankings may be stored in the knowledge base for future use. The target contacts and search may be taken from contacts or the knowledge base of the contacts with greater than one degree of separation from the user.

A computer implemented method, data processing system, and computer program product for automated ranking of target server partitions based on current workload partition performance state. When a violation of a stack tier policy for the virtualized process collection in a source logical partition is detected, the stack tier comprising the virtualized process collection is examined to determine a scalability of the stack tier. A set of logical partitions are examined to identify target logical partitions for the migration event, wherein the target logical partitions are compatible for migrating the virtualized process collection based on the scalability of the stack tier. A performance state of the virtualized process collection is analyzed, and the target logical partitions for selection in the migration event are ranked based on the performance states of the virtualized process collection and the stack tier policy.

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.

A method is disclosed which enables travelers to discover other travelers with similar and compatible travel plans, for purposes of contacting them and negotiating shared travel agreements. Travel plans are characterized quantitatively, enabling numerical measurement of the match between a pair of plans. Dependence upon similarity of place names is eliminated. The temporal difference between plans is converted to an equivalent distance difference and summed with the origin and destination differences to yield a single number ranking the match. Plans are ordered by this ranking against a search specification. The method is more compatible than the prior art with computer automation, and is accessible via the Internet.

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.

A method for determining if a set of images in a large collection of images are near duplicates is described. The method includes processing the set of images, generating an image signature for each image in the set of images, and comparing the generated image signatures. The method can be used in clustering and ranking of images.

A communications center system includes unsolicited inbound transaction traffic for routing to agents, one or more channels engaging visitors to the communication center other than interaction with a live agent, a profiling function for gathering information about the visitors to the communications-center, during the time the visitors are engaged in other than interaction with a live agent, a ranking function for ranking the visitors as to desirability for interaction, according to the information gathered, and an invitation function for sending invitations to transact to the visitors according to the ranking. The system monitors agent availability and the unsolicited inbound transaction traffic, and manages the invitation function to balance total traffic with agent availability.

A system and method provide content review, distribution, ranking and access and automate creation and performance of contests among sets of content-based contestants. The system and method provide customizable interactive, ongoing, multi-level, multi-round contests with expert review of and filtered submission of content-based contestants. Among other advantages, providers may use the system and method to obtain expert and consumer review and ranking of their content.

A system obtains a first parameter (QP₁) associated with a quality of an advertisement among multiple advertisements, where the first quality parameter (QP₁) does not include a click through rate (CTR). The system functionally combines the first quality parameter (QP₁) with at least one other parameter and uses the functional combination to filter, rank or promote the advertisement among the multiple advertisements.

A system and method for aggregating rankings from a plurality of ranking sources to generate a maximally consistent ranking by minimizing a distance measure. The ranking sources may be search engines executing queries on web pages that have been deliberately modified to cause an incorrect estimate of their relevance. The invention supports combining partial rankings.

Disclosed are methods and apparatus, including computer program products, implementing and using techniques for conversational advertising. Online commentary data representing comments and/or conversation is published on a data network. Relevant commentary data associated with an electronic advertisement can be identified on one or more electronic forums accessible over the data network. The identified commentary data can be filtered according to one or more parameters. The parameters can include, for example: commentary content, conversation volume, a designated timeframe, a topic, a tag, a keyword, an index, a link, a classification scheme, an authority, a relevance measure, a meme, a word, a phrase, and/or a ranking. Advertisement content, such as selected comments and/or metadata, is determined based on the commentary data. The determined advertisement content can be provided over the data network, for instance, as an RSS feed, to the electronic advertisement for incorporation into the electronic advertisement. Further commentary data on one or more electronic forums can similarly be processed to dynamically update and refine the advertisement.

The sentimental significance of a group of historical documents related to a topic is assessed with respect to change in an extrinsic metric for the topic. A unique sentiment binding label is included to the content of actions documents that are determined to have sentimental significance and the group of documents is inserted into a historical document sentiment vector space for the topic. Action areas in the vector space are defined from the locations of action documents and singular sentiment vector may be created that describes the cumulative action area. Newly published documents are sentiment-scored by semantically comparing them to documents in the space and/or to the singular sentiment vector. The sentiment scores for the newly published documents are supplemented by human sentiment assessment of the documents and a sentiment time decay factor is applied to the supplemented sentiment score of each newly published documents. User queries are received and a set of sentiment-ranked documents is returned with the highest age-adjusted sentiment scores.

A system of ranking e-mail threads is disclosed. The system receives e-mail messages, and determines e-mail threads in response to the e-mail messages. The system determines an e-mail rank associated with each e-mail message in the e-mail threads, where an e-mail rank associated with an e-mail message is determined in response to a sender identifier related to the e-mail message. The system also determines a thread rank for each e-mail thread, where a thread rank associated with an e-mail thread is determined in response to e-mail ranks of each e-mail message associated with each respective e-mail thread. The system then determines an ordering of the e-mail threads based on the thread rank associated with each e-mail thread.

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.

A system and method for automating the web service selection based on reputation information, to help negotiate a contractual web service binding between a client and a server. Reputation information may be schematized into behavioral attributes such as web service responsiveness, web service latency, web service uptime, cost data, business solvency and other trustworthiness and business-related data. Some of the reputation data may be empirically determined, and provided by an independent or other trusted auditor. In one implementation, a client queries a search engine, which returns a ranked list of web services, with the ranking based on reputation scores computed for each web service as collected by an auditor. Clients may provide computational data to weigh the attributes separately. A corporate internet can maintain reputation data for web services to act as an auditor, and a web service server can also execute trusted code to act as an auditor.

A device for and a method of dynamically refreshing presentation of icons for objects processed on an electronic device are provided. The method comprises: establishing a triggering event to initiate refreshment of a layout of the icons displayed on a display in the device; upon detection of the triggering event, creating a ranking of the objects processed by the device utilizing activity logs providing their recent levels of activity; identifying a most frequently processed object from the ranking; and automatically refreshing the layout of icons to highlight an icon associated with the most frequently processed object. The device incorporates modules to perform the method.

A method and computer readable medium for routing a call to geographically dispersed agents based on agent skill-set, agent location and caller location that results in the call being delivered to the best available agent. The computer readable medium and method are utilized with a system comprised of a call center application module coupled to a database module with a communications network being used to couple incoming calls from customers with the best available agent. A database contains a ranking of available agents, based on a dataset including information regarding skill-set, previous interaction with the customer, proximity to the customer, language capability, current availability, and the like. The method chooses the best available agent to service a customer call based on the agent rankings. In the case where the customer has a preference for proximity of the agent to the customer, the system adjusts the agent rankings according to the agent's distance from the customer prior to making a selection.