WO2023073499 - EFFICIENT COMPUTATION OF MAXIMUM PROBABILITY LABEL ASSIGNMENTS FOR SEQUENCES OF WEB ELEMENTS

National phase entry is expected:
Publication Number WO/2023/073499
Publication Date 04.05.2023
International Application No. PCT/IB2022/059957
International Filing Date 17.10.2022
Title **
[English] EFFICIENT COMPUTATION OF MAXIMUM PROBABILITY LABEL ASSIGNMENTS FOR SEQUENCES OF WEB ELEMENTS
[French] CALCUL EFFICACE D'ATTRIBUTIONS D'ÉTIQUETTES DE PROBABILITÉS MAXIMALES POUR DES SÉQUENCES D'ÉLÉMENTS DE WEB
Applicants **
KLARNA BANK AB Sveavägen 46 SE-111 34 Stockholm, SE
Inventors
RISULEO, Riccardo Sven Sveavägen 46 SE‐111 34 Stockholm, SE
BUEZAS, David Sveavägen 46 SE-111 34 Stockholm, SE
Priority Data
63/273,824   29.10.2021   US
63/273,852   29.10.2021   US
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Quotation for National Phase entry

Country StagesTotal
China Filing1493
EPO Filing, Examination6727
Japan Filing590
South Korea Filing607
USA Filing, Examination2710
MasterCard Visa

Total: 12127

The term for entry into the National Phase has expired. This quotation is for informational purposes only

Abstract[English] A sequence of interface elements in an interface is determined, where the sequence includes a first element that immediately precedes a second element in the sequence. A first set of potential classifications for the first element is obtained. A set of local confidence scores for a second set of potential classifications of the second element is obtained. A set of sequence confidence scores is obtained by obtaining, for each second potential classification of the second set of potential classifications, a set of scores indicating probability of the second potential classification being immediately preceded in sequence by each first potential classification of the first set of potential classifications. A classification assignment for the second element is determined based on the set of local confidence scores of the first element and the set of sequence confidence scores. An operation is performed with the second element in accordance with the classification assignment.[French] On détermine une séquence d'éléments d'interface d'une interface, la séquence comprenant un premier élément précédant immédiatement un second élément de la séquence. On obtient un premier ensemble de classifications de potentiels pour le premier élément . On obtient un ensemble de scores de confiance locaux pour un second ensemble de classifications de potentiels du second élément. On obtient un ensemble de scores de confiance de séquence en obtenant, pour chaque seconde classification de potentiels du second ensemble de classifications de potentiels, un ensemble de scores indiquant la probabilité du fait que la seconde classification de potentiels soit immédiatement précédée en séquence par chaque première classification de potentiels du premier ensemble de classifications de potentiels. On détermine une attribution de classification pour le second élément d'après l'ensemble de scores locaux de confiance du premier élément et l'ensemble de scores de confiance de séquence. On réalise une opération avec le second élément selon l'attribution de classification.
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