Ebay, Incorporated

Paypal, Inc.

Gyanit Singh

Neelakantan Sundaresan

Chi-Hsien Chiu

Elizabeth F Churchill

Atish Das Sarma

Nishith Parikh

Brian Scott Johnson

Udayan Khurana

Alyssa Neckorcuk

Mohammad Al Hasan

Patrick Crane

David Goldberg

Corinne Elizabeth Sherman

Huai-ter Chong

Justin Nicholas House

Nish Parikh

Narayanan Seshadri

Jonas Oscar Klink

Saratchandra Indrakanti

Stephen Anthony Neola

Daniel Fain

Sriganesh Madhvanath

Corinne Sherman Stewart

Corinne Elizabeth Sherman-Stewart

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.

Method, medium, and system for generating and ordering item offer themes

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.

Parallel data stream processing system

In various example embodiments, a system and method for retrieving database records are presented. A method includes receiving an access request for database records, identifying a primary database record corresponding to the access request, and selecting a set of secondary database records corresponding to a portion of the access request. The method determines a set of differentiating elements within records of the set of secondary database records. Each differentiating element distinguishes at least one record of the set of secondary database records from one or more of the primary database record and a portion of the records included in the set of secondary database records. The method generates a formatted search interface including a set of selectable interface icons representing one or more differentiating elements and causes presentation of the formatted search interface at a client device associated with the access request.

Database search optimizer and themed filters

Method, medium, and system for ranking themes using machine learning

A system comprising a computer-readable storage medium storing at least one program and a computer-implemented method for creating advertisement 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 to generate an advertisement message for a product listing. An advertisement message is generated in accordance with the generative grammar model and the message is published. The advertisement message for the product listing is then transmitted to a client device.

Generative grammar models for effective promotion and advertising

A method and system for forming hybrid cluster to process log files are described. In example embodiments, a method configures a node to execute as a first slave node. The first slave node executes in a first operating environment. The method also adds the first slave node to a Hadoop cluster. The Hadoop cluster includes a second slave node that operates in a second and different operating environment.

Distributed steam processing

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.

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.

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.

Query suggestion for e-commerce sites

Distributed stream processing

Growing community of inventors

San Jose, CA, United States of America

Gyanit Singh