公开(公告)号：US10956518B2

公开(公告)日：2021-03-23

申请号：US15237463

申请日：2016-08-15

Applicant: Oath Inc.

Inventor： Sean Christopher Timm ,  Sudhir Achuthan

IPC: G06F16/9535 ,  G06F16/16 ,  G06F16/28 ,  G06F16/951 ,  G06F16/22 ,  G06F16/332 ,  G06F16/9032 ,  G06F16/955

Abstract: Systems and methods are provided for improved web searching. In one implementation, suggested search queries are provided based on previous search queries and click data. A weighted bi-partite graph or index may be used to identify related search queries based on overlapping clicked URLs. According to a method, query-click log data of a search engine is processed to generate sets of suggested search queries, data corresponding to each suggested search query, and a set of clicked URLs related to each suggested search query. Additionally, or independently, methods may be provided for contextually correcting spelling errors within sets of suggested search queries using e contextual algorithm, and/or identifying and discarding sets of suggested search queries and URLs that lead to restricted material, such as restricted content and related URLs.

公开(公告)号：US10719538B2

公开(公告)日：2020-07-21

申请号：US15682490

申请日：2017-08-21

Applicant: Oath Inc.

Inventor： Sean Christopher Timm ,  Sudhir Achuthan ,  Mikhail Nicholaos Barrett

IPC: G06F16/332 ,  G06F16/9535 ,  G06F16/335 ,  G06F16/95

Abstract: Methods and systems are provided for determining whether a search query with an observed number of occurrences in a set of search queries is a local search query. In accordance with one implementation, a method is provided that comprises determining an expected number of occurrences of a search query and comparing the expected number of occurrences to a threshold. Further, the method includes determining whether the search query is a local search query based, at least in part, on the comparison.