Real-time position recommendation method and system
A recommendation method and job technology, applied in other database retrieval, office automation, instruments, etc., can solve the problems of user loss, low recruitment efficiency, unpredictable feedback, etc., and achieve the effect of improving communication efficiency and recruiting success rate.
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Embodiment 1
[0024] figure 1 It is a functional block diagram of a real-time position recommendation system according to Embodiment 1 of the present invention. Wherein, the real-time job recommendation system includes a status monitoring module 1 , a first recommendation engine 2 , a push module 3 and an instant communication module 4 . Among them, in the present invention, the behavior collection module 7 records and collects various operation data of job-seeking users, position HR, and operated data of each position. For example, bury points at preset locations, and use burying methods to collect the behaviors of job-seeking users and position HR. For job seekers, behaviors such as logging in to the platform, searching for jobs, viewing jobs, submitting resumes to a job, and sending instant message invitations to a job HR can be collected; Behaviors such as viewing a job, posting a job, taking it off the shelves, sending interview notifications to job-seeking users who have submitted t...
Embodiment 2
[0067] Figure 9 It is a functional block diagram of a real-time job recommendation system provided according to Embodiment 2 of the present invention. The difference between this embodiment and the first embodiment is that this embodiment also includes a preference update module 8, and this embodiment obtains job-seeking user preferences and position HR preferences according to the monitored job-seeking user behavior and position HR behavior. After pushing the recommended information to the job-seeking user, the behavior collection module 7 collects the operation information of the job-seeking user and the position HR on the position in the recommended information, and stores it in the database 5 . The present invention determines the commonality of these positions according to the positions viewed and delivered by job-seeking users, such as the same region, or the same level, the intersection of salary ranges, levels, etc., so that the job-seeking user can be determined in t...
Embodiment 3
[0071] Figure 10 It is a functional block diagram of a real-time job recommendation system provided according to Embodiment 3 of the present invention. In this embodiment, the real-time job recommendation system further includes a behavior monitoring module 9 and a second recommendation engine 10 . The behavior monitoring module 9 is connected to the database 5 to monitor the user's preset number of delivery behaviors and / or viewing behaviors. For example, when the user performs 5 delivery behaviors and 5 viewing behaviors on the line this time, the recommended conditions are met, and the The positions involved in the above 10 actions are sent to the second recommendation engine 10 . The second recommendation engine 10 queries similar positions based on these positions and filters the query results according to the active status of the user, position and position HR obtained from the status monitoring module 1, so as to remove HR offline and invalid positions. Specifically,...
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