APPROXIMATE PRIVACY INDEXING FOR SEARCH QUERIES ON ONLINE SOCIAL NETWORKS

• Main Authors: HONG KIHYUK, WOSS GINTARAS ANDRIUS, CHEN ZHONGXIAN, DHAMDHERE KEDAR, RAINA RAJAT, SANKAR SRIRAM
• Format: Patent
• Language: English; Korean
• Published: 18.01.2016
• Subjects: CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

일실시예로, 본 방법은 온라인 소셜 네트워크의 제1 사용자로부터 검색 질의를 수신하는 단계, 검색 질의에 매치하는 객체를 식별하도록 데이터 스토어를 검색하는 단계, 제1 사용자에 대하여 객체의 가시성을 각각의 식별된 객체에 대해 결정하는 단계 및 검색 질의에 대응하는 하나 이상의 검색 결과를 생성하는 단계를 포함하고, 객체를 식별하는 것도 또한 각 객체에 대한 프라이버시 설정에 부분적으로 기반한다. In one embodiment, a method includes receiving, from a client system of a first user, a request to post content to the online social network, identifying a plurality of second users, wherein each second user is associated with a privacy setting, and wherein a percentage of the identified second users have a privacy setting likely to make the content posted by the first user accessible to the second user, determining, for each identified second user, whether the content posted by the first user is accessible to the second user, and sending, to one or more client systems of one or more of the second users, respectively, instructions for presenting the content posted by the first user, wherein the content is sent to second users determined to be able to access the content and is not sent to second users determined to be not able to access the content.