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公开(公告)号:US10650104B2
公开(公告)日:2020-05-12
申请号:US16040788
申请日:2018-07-20
Applicant: eBay Inc.
Abstract: A system comprising a computer-readable storage medium storing at least one program and a computer-implemented method for creating messages using generative grammar models is presented. A generative grammar model defining a message structure of requested message is accessed. The message structure includes a plurality of lexical slots. The generative grammar model includes a corpus of source data to populate each lexical slot in the plurality of lexical slots, and a grammatical constraint for each lexical slot in the plurality of lexical slots. A message is generated in accordance with the generative grammar model and the message is published.
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公开(公告)号:US09858608B2
公开(公告)日:2018-01-02
申请号:US15086921
申请日:2016-03-31
Applicant: eBay Inc.
Inventor: Mohammad Al Hasan , Nishith Parikh , Gyanit Singh , Neelakantan Sundaresan , Brian Scott Johnson , Udayan Khurana
CPC classification number: G06Q30/0625 , G06F17/30386 , G06F17/3053 , G06F17/3064 , G06F17/30646 , G06F17/30861 , G06Q30/02
Abstract: Query suggestions are provided using a query log including a number of user sessions that comprise training data. The training data includes a sequence of a plurality of sets of queries, some of the sets of queries including query transitions followed by a purchase related event. From a cleaned and normalized query log stationary scores and transition scores of at least some of the plurality of sets are generated. A set of query suggestions is built and similarity scores are computed for at least some of the set of query suggestions to determine whether individual ones of the at least some of the set of query suggestions meet a predetermined assurance level. Those that meet the assurance level are included as elements of the set of query suggestions. The set of query suggestions is mixed and ranked according to a user behavior that is sought to be influenced.
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公开(公告)号:US20170249302A1
公开(公告)日:2017-08-31
申请号:US15595060
申请日:2017-05-15
Applicant: eBay Inc.
Inventor: Elizabeth Churchill , Atish Das Sarma , Corinne Elizabeth Sherman , Gyanit Singh
CPC classification number: G06F17/2881 , G06Q30/0239 , G06Q30/0276 , H04L51/066 , H04L51/32 , H04L51/38
Abstract: A system comprising a computer-readable storage medium storing at least one program and a computer-implemented method for creating messages using generative grammar models is presented. Consistent with some embodiments, the method may include receiving a request to generate a message, which in an example embodiment is to be published to a social network platform. In response to receiving the request, a generative grammar model defining the structure of the message is accessed. The generative grammar model may include a number of blanks and may specify a source along with a grammatical constraint for a term to populate each blank. The method may further include generating the message in accordance with the generative grammar model, and causing the generated message to be published.
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14.
公开(公告)号:US20170213130A1
公开(公告)日:2017-07-27
申请号:US15267346
申请日:2016-09-16
Applicant: eBay Inc.
Inventor: Chandra Prakash Khatri , Nish Parikh , Sameep Navin Solanki , Justin Nicholas House , Gyanit Singh
CPC classification number: G06N3/0445 , G06F16/345
Abstract: Systems, methods and media are provided for training a snippet extractor to create snippets based on information extracted from published descriptions. In one example, a computer-implemented method includes creating, based on a non-RNN (Recurrent Neural Network) extraction technique performed on the published descriptions, a plurality of base models, each base model including one or more sample description summaries; evaluating the base models using an evaluation technique; selecting an optimum base model; developing a classification model using RNN extraction, the classification model based on description summaries contained in the optimum base model; and using the classification model to train the snippet extractor by machine learning.
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公开(公告)号:US20160217521A1
公开(公告)日:2016-07-28
申请号:US15086921
申请日:2016-03-31
Applicant: eBay Inc.
Inventor: Mohammad Al Hasan , Nishith Parikh , Gyanit Singh , Neelakantan Sundaresan , Brian Scott Johnson , Udayan Khurana
CPC classification number: G06Q30/0625 , G06F17/30386 , G06F17/3053 , G06F17/3064 , G06F17/30646 , G06F17/30861 , G06Q30/02
Abstract: Query suggestions are provided using a query log including a number of user sessions that comprise training data. The training data includes a sequence of a plurality of sets of queries, some of the sets of queries including query transitions followed by a purchase related event. From a cleaned and normalized query log stationary scores and transition scores of at least some of the plurality of sets are generated. A set of query suggestions is built and similarity scores are computed for at least some of the set of query suggestions to determine whether individual ones of the at least some of the set of query suggestions meet a predetermined assurance level. Those that meet the assurance level are included as elements of the set of query suggestions. The set of query suggestions is mixed and ranked according to a user behavior that is sought to be influenced.
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公开(公告)号:US09323811B2
公开(公告)日:2016-04-26
申请号:US14606971
申请日:2015-01-27
Applicant: eBay Inc.
Inventor: Mohammad Al Hasan , Nishith Parikh , Gyanit Singh , Neelakantan Sundaresan , Brian Scott Johnson , Udayan Khurana
CPC classification number: G06Q30/0625 , G06F17/30386 , G06F17/3053 , G06F17/3064 , G06F17/30646 , G06F17/30861 , G06Q30/02
Abstract: Query suggestions are provided using a query log including a number of user sessions that comprise training data. The training data includes a sequence of a plurality of sets of queries, some of the sets of queries including query transitions followed by a purchase related event. From a cleaned and normalized query log stationary scores and transition scores of at least some of the plurality of sets are generated. A set of query suggestions is built and similarity scores are computed for at least some of the set of query suggestions to determine whether individual ones of the at least some of the set of query suggestions meet a predetermined assurance level. Those that meet the assurance level are included as elements of the set of query suggestions. The set of query suggestions is mixed and ranked according to a user behavior that is sought to be influenced.
Abstract translation: 使用查询日志提供查询建议,包括包含训练数据的多个用户会话。 所述训练数据包括多组查询的序列,所述查询集合中的一些包括跟随购买相关事件的查询转换。 从清洁和归一化的查询日志中,生成多个集合中的至少一些的静态分数和转换分数。 构建一组查询建议,并且针对所述一组查询建议中的至少一些计算相似性分数,以确定所述一组查询建议中的至少一些是否满足预定保证级别。 满足保证级别的那些将作为查询建议集的元素。 一组查询建议根据受到影响的用户行为进行混合和排序。
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公开(公告)号:US20250077533A1
公开(公告)日:2025-03-06
申请号:US18897357
申请日:2024-09-26
Applicant: eBay Inc.
Inventor: Gyanit Singh , Chi-Hsien Chiu , Neelakantan Sundaresan
IPC: G06F16/2458
Abstract: A method and a system process a stream of data in parallel across a plurality of nodes. The log processing system has a log module, a query language module, and a query processing module. The log module receives and organizes the stream of data into a sequential and nested data structure. The query language operator module defines operators that operate on the sequential and nested data structure. The query processing module processes in parallel across a plurality of nodes a query based on an operator on the stream of data.
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公开(公告)号:US11348165B2
公开(公告)日:2022-05-31
申请号:US16526797
申请日:2019-07-30
Applicant: eBay Inc.
Inventor: Saratchandra Indrakanti , Sriganesh Madhvanath , Gyanit Singh
Abstract: Generating themes for different item offers is described. An item listing system receives a request for a target item and generates themes for the target item by grouping offers based on their properties. The item listing system then determines a display order for the themes based on user behavior data. The item listing system then communicates the themes and display order to a client device from which the request was received, causing the client device to display an interface including at least a subset of the themes, arranged according to the display order. Themes including offers determined to be more appealing to the user of the client device are displayed more prominently relative to other themes. The item listing system is further configured to dynamically modify the display order in real-time based on offer changes, such that the interface continuously provides correct information describing available offers for the target item.
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公开(公告)号:US20210035197A1
公开(公告)日:2021-02-04
申请号:US16526797
申请日:2019-07-30
Applicant: eBay Inc.
Inventor: Saratchandra Indrakanti , Sriganesh Madhvanath , Gyanit Singh
Abstract: Generating themes for different item offers is described. An item listing system receives a request for a target item and generates themes for the target item by grouping offers based on their properties. The item listing system then determines a display order for the themes based on user behavior data. The item listing system then communicates the themes and display order to a client device from which the request was received, causing the client device to display an interface including at least a subset of the themes, arranged according to the display order. Themes including offers determined to be more appealing to the user of the client device are displayed more prominently relative to other themes. The item listing system is further configured to dynamically modify the display order in real-time based on offer changes, such that the interface continuously provides correct information describing available offers for the target item.
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公开(公告)号:US20200242307A1
公开(公告)日:2020-07-30
申请号:US16845767
申请日:2020-04-10
Applicant: eBay Inc.
Inventor: Elizabeth Churchill , Atish Das Sarma , Corinne Sherman Stewart , Gyanit Singh
Abstract: A system comprising a computer-readable storage medium storing at least one program and a computer-implemented method for creating messages using generative grammar models is presented. A generative grammar model defining a message structure of requested message is accessed. The message structure includes a plurality of lexical slots. The generative grammar model includes a corpus of source data to populate each lexical slot in the plurality of lexical slots, and a grammatical constraint for each lexical slot in the plurality of lexical slots. A message is generated in accordance with the generative grammar model and the message is published.
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