发明名称 AGGREGATING AND TRANSFORMING USER ACTIONS INTO SOCIAL SIGNAL FEATURES FOR A JOB RECOMMENDATION ENGINE
摘要 A system stores member and job posting pairs in a database, which indicate that a job has been presented to a member, that the member has viewed the job posting, and that the member has applied for the job. The system extracts member attributes from a member profile and job attributes from a job posting file, and creates attribute pairs from the extracted member attributes and the extracted job attributes. The system creates an attribute tracking table, and for each job attribute in the attribute tracking table, create ratios relating to jobs that have been shown to members, jobs that members have viewed, and jobs for which members have applied. The system also determines trends between particular member attributes and particular job attributes. The ratios and trends are provided to a job recommendation engine that uses them in determining jobs to recommend to members.
申请公布号 US2016307158(A1) 申请公布日期 2016.10.20
申请号 US201514688579 申请日期 2015.04.16
申请人 LinkedIn Corporation 发明人 Tang Lijun;Hardtke David
分类号 G06Q10/10;G06Q50/00 主分类号 G06Q10/10
代理机构 代理人
主权项 1. A social networking system comprising: a computer processor configured to: store member and job posting pairs in a database, each member and job posting pair comprising a vector, each vector indicating that a job posting has been presented to a member, indicating that the member has either viewed or not viewed the job posting, and indicating that the member has either applied for or not applied for the job posting;for each member and job posting pair, extract one or more member attributes from a corresponding member profile and extract one or more job attributes from a corresponding job posting file;create a plurality of attribute pairs from the extracted member attributes and the extracted job attributes, each attribute pair comprising the vector of a corresponding job posting pair;using the plurality of attribute pairs, create a job attribute tracking table by summing vectors associated with each particular job attribute, thereby generating for each particular job attribute a count of job postings that include the particular job attribute and that have been presented to members, a count of members who have viewed job postings that include the particular job attribute, and a count of members who have applied for job postings that include the particular job attribute;for each particular job attribute in the job attribute tracking table, create a first ratio of the count of members who have applied for job postings that include the particular job attribute to the count of job postings that include the particular job attribute and that have been presented to members;create a second ratio of the count of members who have applied for job postings that include the particular job attribute to the count of job postings that include the particular job attribute and that have been viewed by members; andcreate a third ratio of the count of members who have viewed job postings that include the particular job attribute to the count of job postings that include the particular job attribute and that have been presented to members;using the plurality of attribute pairs, determine a count of each particular member attribute and job attribute pair, thereby indicating a trend between the particular member attribute and the particular job attribute;provide one or more of the first ratio, the second ratio, and the third ratio to a job recommendation engine such that the job recommendation engine recommends one or more job postings as a function of one or more of the first ratio, the second ratio, and the third ratio; andprovide the trend between the particular member attribute and the particular job attribute to the job recommendation engine such that the job recommendation engine recommends one or more job postings as a function of the trend between the particular member attribute and the particular job attribute.
地址 Mountain View CA US