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    'Pool Cleaning Robot With Display Device'in Patent Application Approval Process (USPTO 20240401358)

    142-145页
    查看更多>>摘要:This patent application has not been assigned to a company or institution.The following quote was obtained by the news editors from the background informa tion supplied bythe inventors: “Pool cleaning robot is a kind of cleaning robot produced to facilitate the cleaning of aswimming pool and to save manpower, an d is capable of repeatedly cleaning the bottom and the side wallof the pool and filtering the water in the pool. During the working process, the pool cleaning robot movesthrough drive wheels and uses a roller brush to remove contaminants.

    'Pool Cleaning Robot With Display Device'in Patent Application Approval Process (USPTO 20240401358)

    142-145页
    查看更多>>摘要:This patent application has not been assigned to a company or institution.The following quote was obtained by the news editors from the background informa tion supplied bythe inventors: “Pool cleaning robot is a kind of cleaning robot produced to facilitate the cleaning of aswimming pool and to save manpower, an d is capable of repeatedly cleaning the bottom and the side wallof the pool and filtering the water in the pool. During the working process, the pool cleaning robot movesthrough drive wheels and uses a roller brush to remove contaminants.

    'Unsupervised Cue Point Discovery For Episodic Content'in Patent Application Ap proval Process (USPTO 20240404285)

    146-150页
    查看更多>>摘要:This patent application is assigned to Roku Inc. (San Jose, California, United S tates).The following quote was obtained by the news editors from the background informa tion supplied bythe inventors: ““Field“This disclosure is generally directed to methods and systems for cue point disc overy for content,and more particularly to methods and systems for using unsupe rvised machine learning to automaticallyclassify cue points for episodic conten t.

    'Unsupervised Cue Point Discovery For Episodic Content'in Patent Application Ap proval Process (USPTO 20240404285)

    146-150页
    查看更多>>摘要:This patent application is assigned to Roku Inc. (San Jose, California, United S tates).The following quote was obtained by the news editors from the background informa tion supplied bythe inventors: ““Field“This disclosure is generally directed to methods and systems for cue point disc overy for content,and more particularly to methods and systems for using unsupe rvised machine learning to automaticallyclassify cue points for episodic conten t.

    'Predicting Replacement Items using a Machine-Learning Replacement Model'in Pat ent Application Approval Process (USPTO 20240403938)

    150-153页
    查看更多>>摘要:This patent application has not been assigned to a company or institution.The following quote was obtained by the news editors from the background informa tion supplied bythe inventors: “Online systems present content to a user with w hich the user interacts. For example, an online concierge system presents items to a user for the user to add to an order. Online systems may tryto predict wha t content a user would be most interested in interacting with and present conten t withthe highest likelihood of interaction by the user. However, online system s generally limit the informationthey use for selecting content to information on actions that occurred before the user interaction with thecontent. For examp le, a video streaming platform may consider information on which videos a user has watched in the past to determine whether a user would be interested in a part icular video. However,while a user’s historical interactions may indicate what a user tends to be interested in, it does not directlyidentify a user’s interes ts. Thus, online systems that solely use historical interaction information by a usertend to be ineffective at selecting content based on a user’s current inte rests.”

    'Predicting Replacement Items using a Machine-Learning Replacement Model'in Pat ent Application Approval Process (USPTO 20240403938)

    150-153页
    查看更多>>摘要:This patent application has not been assigned to a company or institution.The following quote was obtained by the news editors from the background informa tion supplied bythe inventors: “Online systems present content to a user with w hich the user interacts. For example, an online concierge system presents items to a user for the user to add to an order. Online systems may tryto predict wha t content a user would be most interested in interacting with and present conten t withthe highest likelihood of interaction by the user. However, online system s generally limit the informationthey use for selecting content to information on actions that occurred before the user interaction with thecontent. For examp le, a video streaming platform may consider information on which videos a user has watched in the past to determine whether a user would be interested in a part icular video. However,while a user’s historical interactions may indicate what a user tends to be interested in, it does not directlyidentify a user’s interes ts. Thus, online systems that solely use historical interaction information by a usertend to be ineffective at selecting content based on a user’s current inte rests.”

    Researchers Submit Patent Application, 'Implementing And Maintaining Feedback Lo ops In Recommendation Systems', for Approval (USPTO 20240403713)

    153-157页
    查看更多>>摘要:No assignee for this patent application has been made.News editors obtained the following quote from the background information suppli ed by the inventors: products and services that are tailored t o their customers’ interests. Recommendation systems typicallylearn, through a variety of interactions with different users, what each of those users like. For example,a media streaming service may track users’ media selections and use th ose selections to drive futurerecommendations. In at least some cases, these re commendation systems may analyze feedback loops toidentify or measure skew or b ias that has been introduced over time. These feedback loops, however,often fai l to adjust over time and can, themselves, become subject to bias.”

    Researchers Submit Patent Application, 'Implementing And Maintaining Feedback Lo ops In Recommendation Systems', for Approval (USPTO 20240403713)

    153-157页
    查看更多>>摘要:No assignee for this patent application has been made.News editors obtained the following quote from the background information suppli ed by the inventors: products and services that are tailored t o their customers’ interests. Recommendation systems typicallylearn, through a variety of interactions with different users, what each of those users like. For example,a media streaming service may track users’ media selections and use th ose selections to drive futurerecommendations. In at least some cases, these re commendation systems may analyze feedback loops toidentify or measure skew or b ias that has been introduced over time. These feedback loops, however,often fai l to adjust over time and can, themselves, become subject to bias.”

    Researchers Submit Patent Application, 'Automated Fraud Risk Assessment Systems And Methods', for Approval (USPTO 20240403885)

    157-162页
    查看更多>>摘要:The patent’s assignee is Citibank N.A. (New York, New York, United States).News editors obtained the following quote from the background information suppli ed by the inventors:“Currently, detecting fraud and processing fraud cases may comprise a detection engine and a primarilymanual risk assessment process of va lidating a probability of actual fraud and determining a resolutionpath. The cu rrent risk assessment process may be characterized as based on one or more judgm entaldecisions, for example, after a review of structured and unstructured data from an account history andthird party information. Thus, such legacy fraud pr ocessing may typically involve one or more manualoperations.

    Researchers Submit Patent Application, 'Automated Fraud Risk Assessment Systems And Methods', for Approval (USPTO 20240403885)

    157-162页
    查看更多>>摘要:The patent’s assignee is Citibank N.A. (New York, New York, United States).News editors obtained the following quote from the background information suppli ed by the inventors:“Currently, detecting fraud and processing fraud cases may comprise a detection engine and a primarilymanual risk assessment process of va lidating a probability of actual fraud and determining a resolutionpath. The cu rrent risk assessment process may be characterized as based on one or more judgm entaldecisions, for example, after a review of structured and unstructured data from an account history andthird party information. Thus, such legacy fraud pr ocessing may typically involve one or more manualoperations.