METHODS AND SYSTEMS FOR DERIVING A SCORE WITH WHICH ITEM LISTINGS ARE ORDERED WHEN PRESENTED IN SEARCH RESULTS

Patent №

US 8,903,816

Granted

2014-12-02

Filed 2009

Owner

EBAY INC.

Lab

AI components

3

ml · nlp · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

12476046

Methods and systems for analyzing, ordering and presenting item listings are described. In one example embodiment, a search query is processed to identify item listings satisfying the search query. Then, for each item listing that satisfies the search query, a ranking score is derived and assigned to the item listing. The ranking score is based in part on a relevance score, a listing quality score and a business rules score (or, adjustment factor). Finally, the item listings are ordered, based on their corresponding ranking score, and presented in order in a search results page.

Machine learningNatural languagePlanningG06Q 30/0629G06F 16/90335G06Q 30/02G06Q 30/0256G06Q 30/0603G06Q 30/0623G06Q 30/0631

AI classification

Natural language1.00
Planning0.99
Machine learning0.93
Evolutionary computation0.15
Knowledge representation0.04
AI hardware0.03
Vision0.00
Speech0.00

Ownership

EBAY INC.

assignment · 228730875

Assignors

DUMON, OLIVIER G., MCDONALD, RYAN, RCHMAN, MUHAMMAD FAISAL, NETZLOFF, JULIE, SUN, KEN

On an employer assignment, the assignors are typically the inventors.

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