公开(公告)号：US12001471B2

公开(公告)日：2024-06-04

申请号：US17245406

申请日：2021-04-30

Applicant: eBay Inc.

Inventor： Daniel Lee Hurwitz ,  Ido Guy

IPC: G06F16/00 ,  G06F16/35 ,  G06N20/00

CPC classification number: G06F16/358 ,  G06F16/35 ,  G06N20/00

Abstract: Methods, systems, and media for lot classification are disclosed. In one example, a classification system for identifying lot listings receives a description for a listing in a publication system, identifies a string in the listing, identifies a quantity word or digit in the string, and converts an identified quantity word into digit form. A normalized string is tokenized to produce tokens, the tokenizing of the normalized string including splitting the normalized string into a series of substrings using a sequence of delimiters. For each substring, an additional split is performed by separating any digit from any other adjacent character, unless that character is another digit, and maintaining an internal character order of each split substring to produce a flattened list of tokenized tokens.

公开(公告)号：US11699101B2

公开(公告)日：2023-07-11

申请号：US17467170

申请日：2021-09-03

Applicant: eBay Inc.

Inventor： Arnon Dagan ,  Ido Guy ,  Alexander Nus ,  Raphael Bryl ,  Noa Shimoni Barzilai ,  Avinoam Omer ,  Yan Radovilsky ,  Einav Itamar ,  Gadi Mikles

IPC: G06N20/00 ,  G06N3/08 ,  G06F18/214 ,  G06F18/21 ,  G06F18/2321 ,  G06V10/764 ,  G06V10/778 ,  G06V20/70 ,  G06V20/00

CPC classification number: G06N20/00 ,  G06F18/2148 ,  G06F18/2178 ,  G06F18/2321 ,  G06N3/08 ,  G06V10/764 ,  G06V10/7784 ,  G06V20/35 ,  G06V20/70

Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for automatic image selection for online product catalogs. An image selection system gathers feature data for images of an item included in listings posted to an online marketplace. The image selection system uses the feature data as input in a machine learning model to determine probability scores indicating an estimated probability that each image is suitable to represent the item. The machine learning model is trained based on a set of training images of the item that have been labeled to indicate whether they are suitable to represent the image. The image selection system compares the probability scores and selects an image to represent the item as a stock image based on the comparison.

公开(公告)号：US20230214431A1

公开(公告)日：2023-07-06

申请号：US17569876

申请日：2022-01-06

Applicant: eBay Inc.

Inventor： Arnon Dagan ,  Slava Novgorodov ,  Ido Guy

IPC: G06F16/9532 ,  G06Q30/06

CPC classification number: G06F16/9532 ,  G06Q30/0641

Abstract: A query modality recommendation system provides recommendations to use a particular query modality based on one or more categories of search results for a search query. Upon receiving a search query in a first query modality at a search engine, the query modality recommendation system determines to recommend use of a second query modality based on one or more categories of the search results. For example, the first query modality may be a textual query and the second query modality may be an image query. In aspects, recommending use of the second query modality comprises comparing a first search performance of the one or more categories for the first query modality in historical search queries to a second search performance of the one or more categories for the second query modality in the historical search queries.

公开(公告)号：US11113575B2

公开(公告)日：2021-09-07

申请号：US16566121

申请日：2019-09-10

Applicant: eBay Inc.

Inventor： Arnon Dagan ,  Ido Guy ,  Alexander Nus ,  Raphael Bryl ,  Noa Shimoni Barzilai ,  Avinoam Omer ,  Yan Radovilsky ,  Einav Itamar ,  Gadi Mikles

IPC: G06K9/62 ,  G06N20/00 ,  G06N3/08

Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for automatic image selection for online product catalogs. An image selection system gathers feature data for images of an item included in listings posted to an online marketplace. The image selection system uses the feature data as input in a machine learning model to determine probability scores indicating an estimated probability that each image is suitable to represent the item. The machine learning model is trained based on a set of training images of the item that have been labeled to indicate whether they are suitable to represent the image. The image selection system compares the probability scores and selects an image to represent the item as a stock image based on the comparison.

公开(公告)号：US20210073583A1

公开(公告)日：2021-03-11

申请号：US16566121

申请日：2019-09-10

Applicant: eBay Inc.

Inventor： Arnon Dagan ,  Ido Guy ,  Alexander Nus ,  Raphael Bryl ,  Noa Shimoni Barzilai ,  Avinoam Omer ,  Yan Radovilsky ,  Einav Itamar ,  Gadi Mikles

IPC: G06K9/62 ,  G06N3/08 ,  G06N20/00

Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for automatic image selection for online product catalogs. An image selection system gathers feature data for images of an item included in listings posted to an online marketplace. The image selection system uses the feature data as input in a machine learning model to determine probability scores indicating an estimated probability that each image is suitable to represent the item. The machine learning model is trained based on a set of training images of the item that have been labeled to indicate whether they are suitable to represent the image. The image selection system compares the probability scores and selects an image to represent the item as a stock image based on the comparison.

公开(公告)号：US12265582B2

公开(公告)日：2025-04-01

申请号：US17569876

申请日：2022-01-06

Applicant: eBay Inc.

Inventor： Arnon Dagan ,  Slava Novgorodov ,  Ido Guy

IPC: G06F16/9532 ,  G06Q30/0601

Abstract: A query modality recommendation system provides recommendations to use a particular query modality based on one or more categories of search results for a search query. Upon receiving a search query in a first query modality at a search engine, the query modality recommendation system determines to recommend use of a second query modality based on one or more categories of the search results. For example, the first query modality may be a textual query and the second query modality may be an image query. In aspects, recommending use of the second query modality comprises comparing a first search performance of the one or more categories for the first query modality in historical search queries to a second search performance of the one or more categories for the second query modality in the historical search queries.

公开(公告)号：US12159018B2

公开(公告)日：2024-12-03

申请号：US16682306

申请日：2019-11-13

Applicant: eBay Inc.

Inventor： Alexander Binyamin Sagiv Sonnenberg ,  Ido Guy ,  Viatcheslav Novgorodov

IPC: G06Q30/00 ,  G06F3/0482 ,  G06F16/9538 ,  G06Q30/0601 ,  G06F9/451

Abstract: Methods, systems, and computer storage media for providing supplementary item information on communications-based compatibility features for a primary item in an item listing platform. In particular, communications-based compatibility features are extracted from user communications about the primary item to identify additional features of the item. In operation, a supplementation engine of an item listing platform, accesses user communications for the primary item. Supplementary item information is generated for the item, where the supplementary item information includes a communications-based compatibility feature associated with the item. The communications-based compatibility feature indicates that the primary item is compatible with the secondary item, a non-standard feature (e.g., a feature not provided in a feature set of the primary item), or a demographic feature (e.g., age). The supplementary item information is provided to cause presentation of a user interface element corresponding to the communications-based compatibility feature on a user interface of the item listing platform.

公开(公告)号：US20230039689A1

公开(公告)日：2023-02-09

申请号：US17395231

申请日：2021-08-05

Applicant: eBay Inc.

Inventor： Ido Guy ,  Viatcheslav Novgorodov

IPC: G06F40/284 ,  G06F16/35

Abstract: A completely unsupervised solution for generating and maintaining a list of lexically similar terms for an e-commerce system is provided. Given a particular electronic collection of items in an e-commerce system, each term in a first item listing is initially paired with each term in a second item listing to form a set of token pairs. The token pairs represent possible candidates for being synonyms. For a respective token pair, an attempt is made to match the shortest token of the token pair to the longest token of the token pair, character by character. If a match is successful, the terms in the token pair are automatically labeled as synonyms for the particular electronic collection of items. Some implementations automatically filter out false positives and/or token pairs that are unrelated and not likely synonyms. The solution can be performed at the granularity of a product, category, vertical, or entire catalog.

公开(公告)号：US20210397894A1

公开(公告)日：2021-12-23

申请号：US17467170

申请日：2021-09-03

Applicant: eBay Inc.

Inventor： Arnon Dagan ,  Ido Guy ,  Alexander Nus ,  Raphael Bryl ,  Noa Shimoni Barzilai ,  Avinoam Omer ,  Yan Radovilsky ,  Einav Itamar ,  Gadi Mikles

IPC: G06K9/62 ,  G06N20/00 ,  G06N3/08

Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for automatic image selection for online product catalogs. An image selection system gathers feature data for images of an item included in listings posted to an online marketplace. The image selection system uses the feature data as input in a machine learning model to determine probability scores indicating an estimated probability that each image is suitable to represent the item. The machine learning model is trained based on a set of training images of the item that have been labeled to indicate whether they are suitable to represent the image. The image selection system compares the probability scores and selects an image to represent the item as a stock image based on the comparison.

公开(公告)号：US20210142376A1

公开(公告)日：2021-05-13

申请号：US16676959

申请日：2019-11-07

Applicant: eBay Inc.

Inventor： Ido Guy ,  Viatcheslav Novgorodov

IPC: G06Q30/06 ,  G06N5/04

Abstract: Systems and methods of improving the functioning of a computer system by implementing compatible model determination and recommendation for efficient item listing creation are disclosed. In some example embodiments, a computer system determines an identification of a target product, identifies online transactions for the target product involving purchasers of the target product based on the identification of the target product, identifies corresponding product models for the purchasers of the target product, selects at least one compatible model for the target product from the identified product models, and causes a recommendation for the at least one compatible model to be displayed on a computing device, with the recommendation recommending that the at least one compatible model for the target product be included in a title of an item listing for the target product.