摘要:
Architecture that automatically detects historical search contexts as well as behaviors related to a search query. Machine learning and hand-authored rules are employed to automatically identify search contexts. Historical information likely to be useful in the current context is surfaced. When a user enters a search query or executes another search behavior, past behaviors are exposed which are contextually related to the current behavior. The architecture also provides automatic discovery of historical contexts, features related to the contexts, and training or authoring of a system for classifying behavior into contexts, using some combination of the machine learning and/or hand-authored rules. A runtime system classifies the current user behavior into a context and surfaces contextual information to the user.
摘要:
Architecture that automatically detects historical search contexts as well as behaviors related to a search query. Machine learning and hand-authored rules are employed to automatically identify search contexts. Historical information likely to be useful in the current context is surfaced. When a user enters a search query or executes another search behavior, past behaviors are exposed which are contextually related to the current behavior. The architecture also provides automatic discovery of historical contexts, features related to the contexts, and training or authoring of a system for classifying behavior into contexts, using some combination of the machine learning and/or hand-authored rules. A runtime system classifies the current user behavior into a context and surfaces contextual information to the user.
摘要:
In one example, data may be divided into blocks, and the blocks may be stored in various storage resources. Data to be stored may be provided to a data divider. The data divider may divide the data into blocks. Redundancy may be introduced into the blocks to allow the original data to be reconstructed at some point in the future, even if fewer than all of the original blocks are available. The blocks may be sent to a data shuffler, which may shuffle the blocks, and may provide a key that describes how to reconstruct the original data from the blocks. The key may be provided to the owner of the data. When the original data is to be retrieved, the key may be provided to a reassembler, which retrieves the blocks from the various storage resources and reconstructs the data using the key.
摘要:
The present invention relates to systems and methods that predict behaviors of alerting and filtering systems based on simulation from messaging logs. By logging contextual information, such as the presence, activity, and availability of users, as well as incoming messages and their properties, forecasting services can be created that serve to provide users with an interactive “what if” capability, informing them what they might expect in terms of future behaviors of an automated message alerting and/or filtering system, based on recent messaging histories. A log of the history of incoming messages and contextual data is examined by modeling and simulation tools. The tools reveal the influence of alternate settings on the system's behavior, in response to an expected stream of incoming messages, providing users with insights about how control settings affect alerting, filtering, or routing behaviors.
摘要:
The present invention relates to a system and method to facilitate efficient and automated processing of messages. A bulk filter is provided to categorize one or more received messages according to a range of classification, the range spanning from at least a bulk classification of values to at least a non-bulk classification of values. A second filter is provided to further classify the received messages in order to automatically facilitate processing of the messages. The range of classification includes a continuum of values based on a likelihood that the received messages are determined to tend toward or fall within the bulk classification of values or toward/within the non-bulk classification of values. Also, the bulk filter or filters can include an adjustable threshold setting to determine or define differences between the bulk classifications and the non-bulk classifications. Various combinations of filters are possible including multiple filter arrangements, parallel arrangements, cascaded arrangements, and other arrangements to facilitate filtering and sorting of messages in order that users can more efficiently process such information in a timely manner. Applications include the enhancement of classification procedures for identifying urgent or important email from non-urgent or non-important email, with the combination of bulk-email filters with urgency or importance filters in cascaded and parallel filtering methodologies.
摘要:
In one example, data may be divided into blocks, and the blocks may be stored in various storage resources. Data to be stored may be provided to a data divider. The data divider may divide the data into blocks. Redundancy may be introduced into the blocks to allow the original data to be reconstructed at some point in the future, even if fewer than all of the original blocks are available. The blocks may be sent to a data shuffler, which may shuffle the blocks, and may provide a key that describes how to reconstruct the original data from the blocks. The key may be provided to the owner of the data. When the original data is to be retrieved, the key may be provided to a reassembler, which retrieves the blocks from the various storage resources and reconstructs the data using the key.
摘要:
An “Iterative Query Reformulator” provides various techniques for using a computational engine to reformulate initial queries through one or more iterations. This query reformulation process ensures that results returned from search engines or recommendation systems using a reformulated query have improved relevance relative to results that would have been returned using only the initial query. More specifically, the Iterative Query Reformulator provides an end to end solution that uses computations from one or more knowledge databases or knowledge sources to find “partial answers” to subqueries derived or extracted from an initial query. These partial answers are then used to reformulate the initial query, with the reformulated query being used by the search engines or recommendations systems to provide results that are highly relevant to the initial query. Determinations of whether to continue reformulation iterations are based on evaluating user metrics from historical search logs having queries that match reformulated queries.
摘要:
Data may be stored in a location or manner that takes various considerations into account. Examples of such considerations are the availability, speed and cost of storage resources, and commercial and regulatory expectations concerning the reliability, security, and/or availability of the stored data. When a piece of data is to be stored, a storage choice component may take the above-considerations into account in order to determine where the data is to be stored, how many copies of the data are to be made, whether the data is to be encrypted, and/or other issues. Additionally, a migration engine may re-evaluate data that has already been stored in order to determine whether the data may be migrated to other storage resources, and/or whether changes may be made with regard to issues such as the encryption level and/or the number of stored copies of the data.
摘要:
A schema for storing health related data within a health integration network is provided to facilitate housing the data in a common and easy transformable and accessible manner. Utilizing this schema, disparate otherwise proprietary applications can store data formatted according to their own schema within the health integration network providing common accessibility to other applications. The other applications can request the commonly stored data from the health integration network to facilitate data transmission between the disparate applications.
摘要:
A virtual scenario generator is provided that applies a virtual scenario to real-world data, such as health and fitness related data, adding a creative way to track the real-world data and/or enhancing the data by adding a competitive element. Thus, the activity related to the real-world data can be incentivized in this regard. A virtual scenario application component can receive data from an input device and apply the virtual scenario, which can be created using an interface, based on rules related to the scenario. The scenario data can subsequently be tracked, on a computer display for example. Additionally, a collaborative functionality can be employed to allow competition between remotely located users of the same virtual scenario, and advertisements can be sent to the users based on many factors including sponsorship and location.