Abstract: Embodiment of the disclosure provide a method and apparatus for generating information. The method includes: acquiring vectors of a plurality of users, the vector being used to characterize behavior habits of the users; inputting the vectors of the plurality of users and push information pushed by a push system to the plurality of users into a feedback information generating model established in advance, to generate the feedback information of the plurality of users for the push information, wherein the feedback information generating model is used to characterize a corresponding relationship between the vectors, the push information and the feedback information; and generating an evaluation report of the push system based on the feedback information.

Abstract: Reinforcement learning is used to dynamically tune cache policy parameters. The current state of a workload on a cache is provided to a reinforcement learning process. The reinforcement learning process uses the cache workload characterization to select an action to be taken to adjust a value of one of multiple parameterized cache policies used to control operation of a cache. The adjusted value is applied to the cache for an upcoming time interval. At the end of the time interval, a reward associated with the action is determined, which may be computed by comparing the cache hit rate during the interval with a baseline hit rate. The process iterates until the end of an episode, at which point the parameters of the cache control policies are reset. The episode is used to train the reinforcement learning policy so that the reinforcement learning process converges to a trained state.

Abstract: A business data database may store transaction business information of an enterprise along with existing structures, rules, and classification recommendations. A business rules framework agent platform may execute supervised machine learning and generate industry agnostic relationship scores and classification scores based on data in the business data database. The business rules framework agent platform may then optimize data and table structures, using relation graph-based evaluation, in accordance with taxonomy data and the classification scores. A rules and configuration database may store the optimized data and table structures from the business rules framework agent platform. Further, a business configuration and rules mapper platform may identify business configuration data and business rules classification data based on the optimized data and table structures.

Abstract: An optimal collaboration platform of a plurality of collaboration platforms is identified. Activity of the user is monitored. A change from a current collaboration platform to the identified optimal collaboration platform is recommended based on a ranking of the plurality of collaboration platforms and the activity of the user. The recommendation is transmitted to the user. A determination is made whether the user accepts the transmitted recommendation. In response to determining that the user has accepted the transmitted recommendation, the optimal platform is initiated.

Abstract: A method for performing quantum annealing computation for solving a discrete optimization problem includes the steps of: (a) identifying an operation for transferring an energy state of one of two physical systems (u, d) having the same quantum state to a low energy state and transferring an energy state of the other of the two physical systems to a high energy state; (b) constructing a network structure among a plurality of physical systems that indicates an order of application of the operation of the step (a) on two physical systems among the plurality of physical systems; and (c) obtaining a physical system having a minimum energy state in the plurality of physical systems by applying the operation of the step (a) to the plurality of physical systems according to the order indicated in the network structure of step (b).

Abstract: A method for preloading an application, a storage medium, and a terminal are provided. The method includes the following. Current usage information of a terminal is acquired in response to detecting that an event of prediction of preloading an application is triggered. The current usage information is input to a model used for application prediction. The model used for application prediction includes a hybrid network model generated according to a usage rule of applications of the terminal corresponding to historical status feature information. At least one target application to be launched is predicted according to an output result of the model used for application prediction. The at least one target application is preloaded.

Abstract: An artificial intelligence apparatus for a speech interaction comprises: a microphone configured to obtain speech data corresponding to an utterance sentence of a user; a memory configured to store a first platform framework corresponding to a default platform of the artificial intelligence apparatus and at least one second platform framework; a communication unit configured to communicate with at least one of an Internet of Things (IoT) device or an external platform apparatus; and a processor configured to: obtain intention information corresponding to the speech data, determine at least one target device among the artificial intelligence apparatus, the IoT device, or the external platform apparatus based on the intention information, determine a target platform framework among the first platform framework or the second platform framework based on the intention information, generate a command corresponding to the speech data using the determined target platform framework, and perform an operation correspond

Abstract: Technology is disclosed for proactively enriching content of electronic communications through predicting user intents. User-composed content within an electronic communication is observed and used to predict one or more intents each associated with a task related to the communication and to be completed in creating the communication. Task-queries may be generated based on the detected intents and entities extracted from the user-composed content, contextual information, or other information related to the user, such as a user-knowledge database. User selection of a suggested task-query automatically executes the task-query, and the results are provided to the user. Each result may include an action involving adding content to or supplementing the content of the electronic communication. A conversational digital assistant may further be invoked to interact with the user to confirm and/or modify suggested task-queries and results of selected task-queries.

Abstract: A computing device determines a recommendation. (A) A first parameter matrix is updated using a first direction matrix and a first step-size parameter value that is greater than one. The first parameter matrix includes a row dimension equal to a number of users of a plurality of users included in a ratings matrix and the ratings matrix includes a missing matrix value. (B) A second parameter matrix is updated using a second direction matrix and a second step-size parameter value that is greater than one. The second parameter matrix includes a column dimension equal to a number of items of a plurality of items included in the ratings matrix. (C) An objective function value is updated based on the first parameter matrix and the second parameter matrix. (D) (A) through (C) are repeated until the first parameter matrix and the second parameter matrix satisfy a convergence test.

Abstract: Traditional systems and methods have implemented hand-crafted feature extraction from varying length time series that results in complexity and requires domain knowledge. Building classification models requires large labeled data and is computationally expensive. Embodiments of the present disclosure implement learning models for classification tasks in multi-dimensional time series by performing feature extraction from entity's parameters via unsupervised encoder and build a non-temporal linear classifier model. A fixed-dimensional feature vector is outputted using a pre-trained unsupervised encoder, which acts as off-the shelf feature extractor. Extracted features are concatenated to learn a non-temporal linear classification model and weight is assigned to each extracted feature during learning which helps to determine relevant parameters for each class. Mapping from parameters to target class is considered while constraining the linear model to use only subset of large number of features.

Abstract: Intelligent cognitive assistants for decision-making are provided. A first plurality of decisions made by a first healthcare provider during treatment of a first patient is monitored. For each respective decision of the first plurality of decisions, one or more corresponding medical attributes of the first patient that were present at a time when the respective decision was made are determined. A cognitive assistant is trained, using an imitation learning model, based on each of the first plurality of decisions and the corresponding one or more medical attributes of the first patient. Subsequently, one or more medical attributes of a second patient are received, and a first medical decision is generated by processing the one or more medical attributes of the second patient using the cognitive assistant.

Abstract: Embodiments of the present disclosure provide a method, apparatus, computer device, and storage medium for verifying community question answer data. The method may include: acquiring a community question answer data set, and generating a plurality of question answer pairs based on the community question answer data set, a question answer pair including: a question, and a to-be-verified answer corresponding to the question; generating an authoritative data set based on data stored in at least one confidence source site; and performing an authority verification on the to-be-verified answer, based on a score of a similarity between the to-be-verified answer and authoritative data in the authoritative data set in at least one dimension.

Abstract: A vehicle controller includes a processor configured to input an operating-condition parameter indicating an operating condition of a device into a learning model to calculate a control parameter indicating a control condition for causing the device to perform a desired operation corresponding to the operating-condition parameter; correct the control parameter so as to achieve the control condition, based on a feedback value depending on an operation evaluating value; control the device in accordance with the control parameter when a predetermined accuracy condition concerning accuracy of control of the device performed in accordance with the control parameter is satisfied, and controls the device in accordance with the corrected control parameter when the predetermined accuracy condition is not satisfied.

Abstract: A method for detecting hypertext transfer protocol secure (HTTPS) flood denial-of-service (DDoS) attacks. The method estimating traffic telemetries of at least ingress traffic directed to a protected entity; providing at least one rate-base feature and at least one rate-invariant feature based on the estimated traffic telemetries, wherein the rate-base feature and the rate-invariant feature demonstrate a normal behavior of HTTPS traffic directed to the protected entity; evaluating the at least one rate-base feature and the at least one rate-invariant feature with respect to at least one baseline to determine whether the behavior of the at least HTTPS traffic indicates a potential HTTPS flood DDoS attack; and causing execution of a mitigation action when an indication of a potential HTTPS flood DDoS attack is determined.

Abstract: A system for creating and managing an artificial conversational entity using an artificial intelligence (AI) based communications system is disclosed. The system may comprise a data access interface to receive instructions with configuration details from a requestor to create an artificial conversational entity, as well as data from a data source. The system may comprise a processor to generate the artificial conversational entity by: identifying a data source type associated with the data; performing data treatment on the received data based on the data source type in order to focus data on at least one targeted topic; determining and applying a compression technique to the received data; performing an intellective computing technique on the compressed data; performing a synoptic evaluation of the data; and generating an executable based on the synoptic evaluation.

Abstract: The present invention relates to a device for detecting motion of a person. The present invention further relates to a system incorporating the aforementioned device and a corresponding method. The proposed device comprises a projection sweep unit configured to obtain image data comprising depth information corresponding to an image showing the patient and to generate one or more projection images of the patient for different viewpoints, a motion detection unit configured to detect motion of the patient in the one or more projection images and to generate one or more motion detection signals indicating if motion is detected or not in a respective projection image, and an analysis unit configured to detect and localize body movements of one or more body parts of the patient based on one or more combinations of motion detection signals.

Abstract: Disclosed is technique for a user context detection and interaction with a messaging service based on a user context in a messaging service environment. An interaction method of a mobile device may include acquiring information associated with a context of at least one of a mobile device and a user of the mobile device under control of an application installed and executed on the mobile device in association with a messaging service, determining a context of the user based on the acquired information, verifying a function to be provided to the user through the messaging service based on the determined context of the user, dynamically determining a configuration of a user interface based on the determined context of the user, and providing the function through the user interface of which the configuration is dynamically determined.

Abstract: A path and/or orientation of object approaching an athlete is tracked using two or more cameras. At least two sets of images of the object are obtained using at least two different cameras having different positions. Motion regions within images are identified, and candidate locations in 2D space of the object are identified within the motion region(s). Based thereon, a probable location in 3D space of the identifiable portion is identified, for each of a plurality of instants during which the object was approaching. A piecewise 3D trajectory of at least the identifiable portion of the object is approximated from the probable locations in 3D space of the object for multiple instants during which the object was approaching the athlete. A graphical representation of the 3D trajectory of the object is incorporated into at least one of the sets of images.

Abstract: Transaction data is received from a remote client computing device that includes user-generated entries in each of a plurality of fields. Thereafter, it can be determined, using an outlier detection algorithm, that values for one or more of the entries is an outlier. Data can then be provided (e.g., displayed in a visual display, loaded into memory, stored in physical persistence, transmitted to a remote computing system, etc.). The outlier algorithm can be based on a number of similar records g, a number of distinct values d(g) in the similar records, and a number of same values s in the similar records. Related apparatus, systems, techniques and articles are also described.

Abstract: A streaming data storage system facilitates appending of large events (e.g., up to one gigabyte) to a data segment of a streaming data storage system in a multipart upload operation. A micro-transaction data structure is created for a multipart upload of a large event, to which subparts of the multipart upload are appended during write operations. Order of the subparts is preserved, including when not appended in order, to provide for reading of the subparts in order. An event reference to the micro-transaction data structure is maintained in a data segment corresponding to the large event, and when the event reference encountered during reading, results in reading from the micro-transaction data structure when the multipart upload is complete. The reading from the micro-transaction data structure maintains the order of the large event's subparts, such that raw data is returned to an upstream reader application as the large event.

Abstract: A system and method that determines whether a heat exchanger within a complex networked system is fouling is provided. The system and method includes training classifiers indicative of a plurality of fouling conditions associated with the heat exchanger and testing the classifiers with optimal sensor data from optimal sensors to determine whether the fouling is being experienced by the heat exchanger.

Abstract: Embodiments of the present disclosure provide a method, an electronic device and a computer program product for load balance. The method comprises: determine, in a round robin period, backup quota ratios for a plurality of servers used for data backup and associated with a cloud service platform; select, based on the backup quota ratios, one server from the plurality of servers; and in response to receiving a request for backup of data from an application on the cloud service platform, cause the backup of the data from the application to the selected server. In this way, load balance for a plurality of backup servers associated with a cloud service platform is achieved.

Abstract: An item presentation method implemented by a computer, the item presentation method includes: executing a selection processing that includes selecting a plurality of candidate items that are presentation candidates from a plurality of items, based on a preference of a user; executing a calculation processing that includes calculating the number of new items newly presented among the plurality of candidate items by referring to an item presentation history to the user; executing a decision processing when the number of new items is a predetermined number or less, the decision processing including deciding, as a recommendation item, an item located away from the preference in an item space about the preference by a distance less than a threshold value; and executing a presentation processing that includes selecting a presentation item presented to the user from the plurality of candidate items and the recommendation item, and presenting the selected presentation item.

Abstract: Described are systems, methods, and apparatus that enable power management and reduction at both the individual and group level to help reduce the overall power demand on a power system. One or more sensors may be positioned at different locations that collect and provide various sensor data to a remote computing system, referred to herein as a management system. The management system maintains location profiles for each location, user profiles for users at the various locations, and may also receive third party data, such as weather patterns, power system load, etc. The management system utilizes the received data to determine one or more energy saving actions that may be performed at the location(s) to reduce energy consumption and lower the demand on the power system.

Abstract: The invention provides a method for determining a transportation direction (TD) for a user, the method comprising: receiving a current location (CL) of the user; receiving a pollution based input value (PIV) related to air pollution in a geographical area (GA) including the current location (CL); determining the transportation direction (TD) using the pollution based input value such that the user is subjected to a lowest level of pollution and/or such that a predefined maximum level of pollution to which the user is subjected is not exceeded; and retrieving a human activity based input value, wherein the human activity based input value is based on activity data from a portable device (100) configured to sense an activity level of the human wearing the portable device (100); and updating the transportation direction (TD) using the human activity based input value (HAIV).

Abstract: Generating a query result utilizing a knowledge graph in an artificial intelligence chatbot is provided. Characteristics of a query are identified. The characteristics of the query are mapped to base elements of the knowledge graph in the artificial intelligence chatbot. A set of query paths are generated in the knowledge graph based on the mapping of the characteristics of the query to the base elements of the knowledge graph. One or more query paths in the set of query paths in the knowledge graph are validated based on a respective score of each query path. A query result corresponding to the query is generated based on the validated one or more query paths in the knowledge graph.

Abstract: An electronic device, method, and non-transitory computer readable medium are provided for automatically creating an ad-hoc calendar event. The electronic device includes a memory and a processor coupled to the memory. The processor receives data including user information, venue information, and location information from a plurality of data sources; determines an interest above a predetermined threshold based on the received data; creates an event based on the determined interest and received data; and provides a recommendation of the created event to another electronic device.

Abstract: A consumption probability metric may be generated for a media asset. An aggregated forecast predicting user consumption of a media asset is received. A plurality of probabilities, each corresponding to a user of a plurality of users, is received, each indicating how likely a respective user is to consume the media asset. A weight for the plurality of users is calculated representing a ratio of the total number of users to a number of users in the plurality of users. A disaggregated forecast predicting user consumption of a media asset is determined based on the weight for the plurality of users and the plurality of probabilities. A modification factor is computed based on the aggregated forecast and the disaggregated forecast. A metric is generated that includes a plurality of user identifiers associated with the plurality of users and a plurality of modified probabilities each modified by the modification factor.

Abstract: An information processing method includes: acquiring, by an information processing device, user's input information including a question sentence about a vehicle; and outputting, by the information processing device, an answer sentence according to a detail level, the detail level being an index indicating a detail degree of a sentence, and the detail level being determined based on a characteristic value of the question sentence.

Abstract: Implementations of the present specification disclose a method, apparatus, device, and a readable medium for identifying private data. A solution includes: obtaining a first length distribution vector and first character distribution statistical information of a first data set, the first data set being a set of private data samples; obtaining a second length distribution vector and second character distribution statistical information of a second data set, the second data set being a set of at least a part of data samples corresponding to a to-be-identified field; calculating a length distribution similarity and a character distribution similarity between the first data set and the second data set, and determining whether data corresponding to the to-be-identified field is private data of a same type as the first data set based on the length distribution similarity and the character distribution similarity.

Abstract: Metering based on application code complexity is provided. Code of an application to be executed is received from a user. Values of parameters corresponding to the application are extracted based on analysis of the code. A set of computational vectors corresponding to extracted values of the parameters of the application is generated to calculate a complexity of the code. A metering metric to charge the user to execute the application is determined based on the complexity of the code. The application is executed at the metering metric based on the complexity of the code.

Abstract: Example methods and systems are directed to providing multi-dimensional search results. A source (e.g., a closed captioning stream) may provide a series of keywords. The series of keywords may be used to generate a series of searches. The results from the searches may be presented as part of a user interface in a grid. For example, one row may be presented for each keyword, with the row for the keyword containing the results from searching using that keyword. Alternatively, one column may be presented for each keyword, with the column for the keyword containing the results from searching using that keyword. The series of keywords may be generated once. Alternatively, new keywords may be periodically added to the series of keywords, causing the grid to be updated. Old keywords and their corresponding search results may periodically be removed from the grid.

Abstract: The present invention relates to a battery failure prediction method and system. The invention has particular application to the prediction of vehicle battery failure and will be described with particular reference to that application. However, the invention has more general application.

Abstract: Disclosed methods, systems, and apparatus, include computer programs encoded on computer storage media, for performing allocation of M resources among N users into K pools by solving a knapsack problem (KP) using a distributed computing system. The method includes: receiving data representing K global constraints and L local constraints of the KP; transforming the KP into a dual problem using K dual multipliers; decomposing the dual problem into N sub-problems; performing two or more iterations in solving the dual problem, wherein in one iteration, for each dual multiplier corresponding to a global constraint corresponding to a pool: determining an updated dual multiplier for the global constraint corresponding to the pool to be a non-negative threshold; and computing M decision variables of each of the N users corresponding to the updated dual multiplier in solving each of the N sub-problems corresponding to the each of the N users.

Abstract: A method conducts dialog between human and computer using a self-learning system. The method includes: receiving user inputs in natural language text; mapping of synonyms and key words and word mapping; analyzing the user inputs regarding sentence structure and syntax and their recognition; mapping of key phrases; determining and classifying a user intent; checking if a confirmation is required; and logically processing in a reasoning and an answer preparation with a formulation of a decision on further dialog design, formulation or the dialog history with possible generation of a response.

Abstract: An approach to recommending corrective action to computing system event errors. The approach may include generating a textual description of an event error. The approach may include transforming the textual description into feature vectors with a domain-specific word embedding module. The approach may also include generating a recommendation to correct the event error based on an analysis of the feature vectors. Additionally, the recommendation may be presented for verification.

Abstract: An electronic computing device includes a processing unit and system memory. The system memory includes instructions which, when executed by the processing unit, cause the electronic computing device to receive data associated with one or more customers of an institution. The data is received from one or more other electronic computing devices. The received data is analyzed to identify grammatical elements in the data. Relationships are derived between a plurality of the grammatical elements. At least one derived relationship is used to update a profile for a customer. At least one derived relationship is used to identify a customer for which a remedial action is warranted.

Abstract: An information handling system includes a processing system including a first sensor, and a second sensor, and a management system including an anomaly table, a learned model table entry associated with the processing system and including a learned model and a first sensor data history, and a prediction module to implement a prediction algorithm. The management system is configured to: receive first sensor data and second sensor data, determine an estimate of a first value of the first sensor data using a second value of the second sensor data, determine a residual of the first value by a comparison of the estimate to the first value, determine a significance of the residual, where the significance having a significant value is associated with a predicted anomaly, determine that an anomaly table entry has a known anomaly class for the predicted anomaly, and perform a remediation plan to resolve the predicted anomaly.

Abstract: The data processing device includes: an extraction condition input unit receiving waveform data including a change point of a state of a device, parameter information about the waveform data, and transition information of the device; a similarity calculation unit calculating similarity between time-series data of the device and the waveform data; an operating mode determination unit setting the state of the device on the basis of the transition information of the device; a change point detection unit detecting the change point from the time-series data of the device on the basis of the calculated similarity and the determined state of the device, and setting a start time of a segment which is a subsequence of the time-series data and an end time of the segment; and an information output unit outputting, as segment information, the state of the device, the start time and the end time of the segment.

Abstract: A computer-implemented method, computer program product and computing system for: establishing connectivity with a plurality of security-relevant subsystems within a computing platform; obtaining at least one security-relevant information set from each of the plurality of security-relevant subsystems, thus defining a plurality of security-relevant information sets; and combining the plurality of security-relevant information sets to form an aggregated security-relevant information set for the computing platform.

Abstract: An example system for optimal storage of load data for lifetime prediction for a piece of equipment used in a well operation includes a sensor collecting load data of the piece of equipment and a processing device for executing computer readable instructions. The computer readable instructions include: determining a lifetime model for the piece of equipment; calculating a bucket size using one of the lifetime model and a distribution of load data; discretizing a load data spectrum into one or more buckets using the calculated bucket size; assigning the collected load data to the one or more buckets of the load data spectrum; storing the collected load data assigned to the one or more buckets to a memory; and determining a lifetime estimation of the piece of equipment based on the load data assigned to the one or more buckets of the load data spectrum and stored to the memory.

Abstract: Disclosed herein is an artificial intelligence apparatus for performing speech recognition including a microphone configured to receive a speech command of a user, a learning processor configured to determine anaphora included in text data corresponding to the speech command using an anaphora recognition model for determining anaphora included in predetermined text data, and a processor configured to specify an object referred to by the determined anaphora based on context information including information input to or output from the artificial intelligence apparatus, determine a response to the speech command based on the specified object, and control the artificial intelligence apparatus according to the determined response.

Abstract: Systems and methods for extending reasoning capability for data analytics in Internet of Things (IoT) platform(s) are provided. Traditional systems and methods for executing IoT analytics tasks suffer as IoT analytics techniques are generated in different programming language platforms, and this leads to a manual intervention or an asynchronous and sequential analysis of IoT analytics task(s). Embodiments of the method disclosed provide for overcoming the limitations faced by the traditional systems and methods by dynamically creating procedural functions from a plurality of programming languages upon determining an absence of pre-defined procedural functions, and extracting, using the dynamically created procedural functions, one or more semantic rules in a real-time, wherein the one or more semantic rules extend a reasoning capability for executing the one or more data analytics tasks in a plurality of IoT platforms.

Abstract: In an aspect, an artificial intelligence advisory system for vibrant constitutional guidance includes at least a server, a diagnostic engine configured to record at least a biological extraction from a user. and to generate, using at least a machine learning algorithm, a diagnostic output based on the at least a biological extraction, the diagnostic output including at least a prognostic label and at least an ameliorative process label. The system includes an advisory module operating on the at least a server and configured to receive at least a user input from a user client device and transmit at least a textual output to the user client device. The system includes an artificial intelligence advisor operating on the at least a server, wherein the artificial intelligence advisor is configured to generate the at least a textual output using the diagnostic output and the at least a user input.

Abstract: An apparatus includes a plurality of registers to store sets of state information that represent a state history of a processing unit. The apparatus also includes a power management advisor (PMA) to generate a signal based on the sets of state information, wherein the signal indicates a probability that a power state transition of the processing unit achieves a target outcome. In some cases, the signal is provided to a power management controller including hardware circuitry that initiates a power state transition of the processing unit based on the signal and inputs to the power management controller that represent a subset of the state information corresponding to a current power state of the processing unit.

Abstract: Systems, techniques, and devices for detecting plant biometrics, for example, plants in a crop field. An imaging device of an unmanned vehicle may be used to generate a plurality of images of the plants, and the plurality of images may be used to generate a 3D model of the plants. The 3D model may define locations and orientations of leaves and stems of plants. The 3D model may be used to determine at least one biometric parameter of at least one plant in the crop. Such detection of plant biometrics may facilitate the automation of crop monitoring and treatment.

Abstract: Systems and methods are provided for facilitating network transactions. One exemplary method includes converting, by a communication device, a request from a remote payment initiator associated with a merchant into a message to a payment network, via a software development kit (SDK) executed by a web browser of the communication device. The request is associated with a transaction to a payment account and includes at least one of: a browser cookie, a payment account number associated with the payment account, a card ID for the payment account, and a payment ID for the transaction. And, the message includes the at least one of: the browser cookie, the payment account number, the card ID, and the payment ID.

Abstract: A computer device may include a processor configured to obtain key performance indicator (KPI) values for KPI parameters associated with at least one device and compute a set of historical statistical values for the obtained KPI values associated with the network device. The processor may be further configured to provide the KPI values and the computed set of historical statistical values to an anomaly detection model to identify potential anomalies; filter the identified potential anomalies based on a designated desirable behavior for a particular KPI parameter to identify at least one anomaly; and send an alert that includes information identifying the at least one anomaly to a management system or a repair system associated with the device. The computer device may further determine a root cause KPI parameter for the identified at least one anomaly and include information identifying the determined root cause KPI parameter in the alert.

Abstract: A system and method for selection and distribution of dietary and nutritional supplements which provides a systematic means for consumers to obtain genetic testing, receive accurate and useful information about dietary and nutritional supplements that may be of benefit to genetically-related conditions identified by the genetic testing, and to conveniently and efficiently order and receive appropriate dietary and nutritional supplements consistent with the information.

Abstract: Methods and systems for updating a calendar entry for an accommodation listing are disclosed. In one embodiment, the method comprises generating an availability model and an acceptance model for an accommodation listing in an accommodation reservation system and determining based on those models the probability that the accommodation listing would be able to be booked. Furthermore, the result of an accommodation search query can be filtered and/or sorted using the determined probability of booking.