信息处理方法、装置和电子设备
    2.
    发明申请

    公开(公告)号:WO2022237877A1

    公开(公告)日:2022-11-17

    申请号:PCT/CN2022/092498

    申请日:2022-05-12

    Inventor: 张鑫

    Abstract: 提供了一种信息处理方法、装置和电子设备,属于通信技术领域,方法包括:接收第一输入(101);响应于第一输入,显示目标界面中的至少一条历史信息;其中,历史信息在目标界面中的第一显示面积与第一输入的输入轨迹对应的图形的第二显示面积之间满足预设条件(102)。

    MULTI-FUNCTION DEVICE LEGAL CLAIM BLOCKCHAIN

    公开(公告)号:WO2022155583A1

    公开(公告)日:2022-07-21

    申请号:PCT/US2022/012717

    申请日:2022-01-18

    Applicant: CIRCLESX LLC

    Inventor: SIMPSON, Eric M.

    Abstract: Various implementations relating to a multi-function device legal claim blockchain are described herein. In one implementation, a method may include receiving claim attribute data from users for legal claims, where a respective legal claim corresponds to a compensation claim by a respective user, and where the claim attribute data for the respective legal claim includes data corresponding to a legal claim type for the respective legal claim, a monetary value for the respective legal claim, or combinations thereof. The method may also include receiving device data for the legal claims from at least a subset of the users, where the device data for the respective legal claim includes data corresponding to locations associated with the respective legal claim. The method may further include generating legal claim blockchain databases based on the device data, where the legal claim blockchain databases are configured to store the device data.

    SYSTEM AND METHOD FOR DETECTION AND AUTO-VALIDATION OF KEY DATA IN ANY NON-HANDWRITTEN DOCUMENT

    公开(公告)号:WO2021260684A1

    公开(公告)日:2021-12-30

    申请号:PCT/IL2021/050749

    申请日:2021-06-21

    Abstract: A computerized-method for classifying a document and detecting and validating key data within the document is provided herein. The computerized-method includes (i) receiving a stream of uniform format documents, for each document in the stream of uniform format documents, operating a textographic analysis module to: (a) determine a category, an author and recipient of each document and (b) detect one or more key data, based on the determined category to ascribe each detected key data to corresponding one or more data fields within the document; (ii) operating a textographic - learning module on the received stream of uniform format; (iii) validating each determined key data in each document; and (iv) displaying via a display unit, the category, author, recipient and the validated key data of each document in the stream of uniform format documents.

    전자책 서비스 제공 방법 및 장치

    公开(公告)号:WO2021210753A1

    公开(公告)日:2021-10-21

    申请号:PCT/KR2020/018509

    申请日:2020-12-17

    Inventor: 박종한

    Abstract: 전자책 서비스 제공 방법 및 장치를 개시한다. 본 개시의 일 측면에 의하면, 전자책 서비스 서버에 의해 수행되는 전자책 서비스 제공방법으로서, 연계 키워드를 포함하는 전자책을 단말에게 제공하는 과정; 상기 연계 키워드에 대한 인터랙션 요청을 상기 단말로부터 수신하는 과정; 기등록된 연계 콘텐츠 중에서 상기 연계 키워드와 관련하여 상기 단말에게 노출할 연계 콘텐츠(이하, '노출 콘텐츠')를 선정하는 과정; 및 상기 노출 콘텐츠에 대한 식별정보를 상기 단말에게 전송하는 과정을 포함하는 것을 특징으로 하는 전자책 서비스 제공방법을 제공한다.

    文書検索システム、及び文書検索方法

    公开(公告)号:WO2020240312A1

    公开(公告)日:2020-12-03

    申请号:PCT/IB2020/054413

    申请日:2020-05-11

    Abstract: 検索者の能力によらず文書を効率良く検索できる文書検索システムを実現する。 データベース文書データが記憶されている文書検索システムを用いて文書検索を行う。第1の文書 データ及び第2の文書データが文書検索システムに入力された後、当該文書検索システムは、第1 の文書データから複数の用語を抽出する。用語の抽出は、例えば形態素解析を用いて行う。次に、 第2の文書データを基にして、抽出した用語に対して重み付けを行う。例えば、第2の文書データ が表す文書に含まれる文章を、第1及び第2の文章に区分する。第1の文書データから抽出した用 語のうち、第1の文章に含まれる用語の重みを、その他の用語の重みより大きくする。文章の区分 は、ルールベース、又は機械学習を用いて行うことができる。その後、重み付けを行った用語を基 にして、データベース文書データの、第1の文書データに対する類似度を算出する。

    AUTOMATISIERTES MASCHINELLES LERNEN AUF BASIS GESPEICHERTEN DATEN

    公开(公告)号:WO2020201247A1

    公开(公告)日:2020-10-08

    申请号:PCT/EP2020/059040

    申请日:2020-03-31

    Abstract: Die Erfindung betrifft ein Verfahren zum automatisierten maschinellen Lernen. Ein vortrainiertes Lernmodul (120) und eine Datenbank (104) werden bereitgestellt. Es wird ein zusätzlicher Datensatz (108) empfangen, in einem ersten Datenmodell (106) der Datenbank gespeichert, es werden ein oder mehreren Token (109) erzeugt und zu ein oder mehreren Tokentypen (111) zugeordnet. Die Tokenzuordnungen (113) werden jeweils als gesichertes Faktum oder vorläufige Annahme klassifiziert und ein Index (112) in einem zweiten Datenmodell (110) wird unter Verwendung der zusätzlichen Token, eines Zeigers (115) auf den zusätzlichen gespeicherten Datensatz, und der Tokenzuordnungen ergänzt.

    SYSTEM AND METHOD FOR IMPROVED CONTENT DISCOVERY

    公开(公告)号:WO2020049317A1

    公开(公告)日:2020-03-12

    申请号:PCT/GB2019/052495

    申请日:2019-09-06

    Applicant: SKY CP LIMITED

    Abstract: Systems and methods for recommending content in a media system are described. In an embodiment, the method identifies a reference metadata tag associated with content in a database, retrieves a data structure storing information of learned associations between the reference metadata tag and a plurality of other metadata tags, the data structure defining a tree of nodes each associated with a corresponding metadata tag, a root node of the retrieved tree associated with the identified reference metadata tag. A path is extracted from the data structure, spanning from the reference metadata tag to a target metadata tag, the extracted path identifying a sequence of metadata tags defined by nodes along the extracted path. Recommended content items are returned based on the sequence of metadata tags identified by the extracted path.

    INCREMENTAL UPDATES FOR NEAREST NEIGHBOR SEARCH

    公开(公告)号:WO2019183479A1

    公开(公告)日:2019-09-26

    申请号:PCT/US2019/023593

    申请日:2019-03-22

    Abstract: Techniques are described for a nearest neighbor search service that enables users to perform nearest neighbor searches. The nearest neighbor search service includes an interface that enables users to create collections of searchable vectors, add and update vectors to a collection, delete vectors from a collection, and perform searches for nearest neighbors to a given vector. The nearest neighbor search service enables users to add, update, and delete vectors of a collection in real-time while also enabling users to perform searches at the same time.

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