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公开(公告)号：US20220229843A1
公开(公告)日：2022-07-21
申请号：US17154378
申请日：2021-01-21
Applicant: salesforce.com, inc.
IPC: G06F16/2457 , G06F16/28
Abstract: Methods, computer readable media, and devices for modeling heterogeneous feature sets for use in personalized search are provided. The method may include generating a similarity factor for each of a plurality of personalization features. For each of the plurality of personalization features, a personalization feature weight is calculated. Each personalization feature weight is converted into a probability distribution and each similarity factor is scaled based on a corresponding probability distribution. Based on each scaled similarity factor, a most recently used affinity value is generated for each corresponding personalization feature. The most recently used affinity values are used to generate a ranking function for use as part of personalized search.
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公开(公告)号：US20210081457A1
公开(公告)日：2021-03-18
申请号：US16752295
申请日：2020-01-24
Applicant: salesforce.com, inc.
Inventor： Mario Sergio Rodriguez , Christian Posse , Rohit Kapoor , Muhammad Tayyab Javed
IPC: G06F16/9038 , G06F16/901 , G06F16/903 , G06F16/9035
Abstract: A computer system is configured to receive a plurality of previous user selection by a user of previous database entries, each of which has as plurality of database field. The computer system is configured to analyze the plurality of previous user selections to identify how frequently the same values are included in the various previous database entries. The computer system is configured to determine weights for the various database fields and rank subsequent search results for a subsequent search of the database based on the determined weights.
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公开(公告)号：US11640348B2
公开(公告)日：2023-05-02
申请号：US17155810
申请日：2021-01-22
Applicant: salesforce.com, inc.
Inventor： Ahmet Bugdayci , Mario Sergio Rodriguez , Linda Wei
Abstract: Systems and methods are described for applying a plurality of data points of a time series data set representing values of a metric measuring performance of a cloud computing service to a machine learning model to predict a forecast of a most likely value of the metric at a selected future time. The method includes determining whether the plurality of data points of the time series data set are anomalies according to the machine learning model and the forecast and generating a collective anomaly from the anomalies when the plurality of data points is determined to be anomalies. The method further includes determining whether the collective anomaly does not meet one or more cloud computing service level objective (SLO) threshold requirements and sending an alert when the collective anomaly does not meet one or more cloud computing SLO threshold requirements.
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公开(公告)号：US20220237096A1
公开(公告)日：2022-07-28
申请号：US17155676
申请日：2021-01-22
Applicant: salesforce.com, inc.
Inventor： Ahmet Bugdayci , Mario Sergio Rodriguez , Ivan Koval , Linda Wei , Sahibdeep Singh , Marc Brette
Abstract: System and methods are described for parsing log data items to find events in the log data items, wherein an event comprises at least a portion of a log data item matching an event definition; aggregating a plurality of performance metric definitions into a single expression; and generating a plurality of performance metrics from the events by applying the single expression to the events.
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公开(公告)号：US20220027412A1
公开(公告)日：2022-01-27
申请号：US17496423
申请日：2021-10-07
Applicant: salesforce.com, inc.
Inventor： Mario Sergio Rodriguez , Christian Posse , Rohit Kapoor , Muhammad Tayyab Javed
IPC: G06F16/9038 , G06F16/9035 , G06F16/903 , G06F16/901 , G06F16/2457
Abstract: A computer system is configured to receive a plurality of previous user selections by a user of previous database entries, each of which has as plurality of database field. The computer system is configured to determine weights for the various database fields included in the previous user selections and rank subsequent search results for a subsequent search of the database based on the determined weights, where the one or more weights affect a ranking of a search result based on a match associated with the particular database field. The computer system is further configured to receive customized search result layout settings specifying that one or more specified database fields are displayed to the user when the search results are displayed, where one or more weights for the particular database field are based on the customized search result layout settings.
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Patent Agency Ranking
公开(公告)号：US11841852B2
公开(公告)日：2023-12-12
申请号：US17147982
申请日：2021-01-13
Applicant: salesforce.com, inc.
Inventor： Guillaume Jean Mathieu Kempf , Marc Brette , Francisco Dellatorre Borges , Qianqian Shi , Matthieu Michel Robin Landos , Darya Brazouskaya , Georgios Balikas , Arvind Srikantan , Mario Sergio Rodriguez
IPC: G06F16/00 , G06F16/242 , G06F16/2455 , G06F16/28
CPC classification number: G06F16/243 , G06F16/2455 , G06F16/285
Abstract: A database system may receive a natural language query that is associated with a tenant of a multi-tenant system. The natural language query may be parsed into a set of tokens, and the set of tokens may be tagged, using a tenant specific tagging model associated with the tenant, the set of tokens with at least one pre-configured data type identifier that is configured for the plurality of tenants. A global tagging model that supports the plurality of tenants of the multi-tenant system may tag the set of tokens with at least one category identifier. The global tagging model may use the natural language query and the pre-configured data type identifier to identify the at least one category identifier. The system may execute a database query on a database associated with the tenant using the at least one pre-configured data type identifier and the at least one category identifier.
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公开(公告)号：US20220237101A1
公开(公告)日：2022-07-28
申请号：US17155670
申请日：2021-01-22
Applicant: salesforce.com, inc.
Inventor： Sahibdeep Singh , Linda Wei , Ahmet Bugdayci , Mario Sergio Rodriguez
Abstract: Systems and methods are described for generating metrics from log data items, automatically interring one or more schemas based at least in part on analyzing samples of the log data items, validating samples of the log data items against the one or more schemas to detect log data item errors, and analyzing the log data item errors according to metrics analytics rules to determine an effect of the log data item errors on a quality measurement of the metrics.
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公开(公告)号：US11636159B2
公开(公告)日：2023-04-25
申请号：US17496423
申请日：2021-10-07
Applicant: salesforce.com, inc.
Inventor： Mario Sergio Rodriguez , Christian Posse , Rohit Kapoor , Muhammad Tayyab Javed
IPC: G06F16/00 , G06F16/9038 , G06F16/9035 , G06F16/903 , G06F16/901 , G06F16/2457
Abstract: A computer system is configured to receive a plurality of previous user selections by a user of previous database entries, each of which has as plurality of database field. The computer system is configured to determine weights for the various database fields included in the previous user selections and rank subsequent search results for a subsequent search of the database based on the determined weights, where the one or more weights affect a ranking of a search result based on a match associated with the particular database field. The computer system is further configured to receive customized search result layout settings specifying that one or more specified database fields are displayed to the user when the search results are displayed, where one or more weights for the particular database field are based on the customized search result layout settings.
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9.发明申请公开(公告)号：US20220245160A1
公开(公告)日：2022-08-04
申请号：US17162859
申请日：2021-01-29
Applicant: salesforce.com, inc.
Inventor： Mohamed Abdelrahman Zahran Mohamed , Ashish Bharadwaj Srinivasa , Mario Sergio Rodriguez , Christian Posse
IPC: G06F16/2457 , G06F16/9538 , G06F16/93
Abstract: In accordance with embodiments, there are provided mechanisms and methods for facilitating relevance prediction-based ranking and presentation of documents for intelligent searching in cloud computing environments in database systems according to one embodiment. In one embodiment and by way of example, a method includes receiving a query, predicting relevance of documents associated with the query based on content of the query and historical user expectations, where the relevance is predicted based on comparison of a first relevance prediction with a second relevance prediction. The method may further include ranking the documents based on the predicted relevance, where the documents are sorted based on the ranking, and communicating, in response to the query, the ranked and sorted documents to a computing device over a communication network.
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公开(公告)号：US20220237102A1
公开(公告)日：2022-07-28
申请号：US17155810
申请日：2021-01-22
Applicant: salesforce.com, inc.
Inventor： Ahmet Bugdayci , Mario Sergio Rodriguez , Linda Wei
Abstract: Systems and methods are described for applying a plurality of data points of a time series data set representing values of a metric measuring performance of a cloud computing service to a machine learning model to predict a forecast of a most likely value of the metric at a selected future time. The method includes determining whether the plurality of data points of the time series data set are anomalies according to the machine learning model and the forecast and generating a collective anomaly from the anomalies when the plurality of data points is determined to be anomalies. The method further includes determining whether the collective anomaly does not meet one or more cloud computing service level objective (SLO) threshold requirements and sending an alert when the collective anomaly does not meet one or more cloud computing SLO threshold requirements.
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