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公开(公告)号：US10380552B2
公开(公告)日：2019-08-13
申请号：US15404846
申请日：2017-01-12
发明人： Siyuan Zhang , Mohsen Jamali , Qin Iris Wang , Hamed Firooz
摘要： Techniques for inferring a specific skill associated with a job posting are described. In an example, disclosed is a system that selects, from a jobs database, a specific job posting from a plurality of job postings. Additionally, job applicants for the specific job posting can be determined using indicators in the profile data of members. Moreover, a set of skills associated with the job applicants can be obtained. Furthermore, a percentage of the job applicants having a specific skill from the set of skills can be determined using the profile data of the job applicants. Subsequently, a confidence score of the specific skill being associated with the specific job posting can be calculated based on the percentage of the job applicants having the specific skill. A user interface can display a presentation of the specific job posting to a first member when the confidence score transgresses a predetermined score.
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公开(公告)号：US10762083B2
公开(公告)日：2020-09-01
申请号：US15849723
申请日：2017-12-21
发明人： Hamed Firooz , Lin Guo
IPC分类号： G06F16/2453 , G06N20/00 , G06F16/31 , G06F16/901
摘要： Techniques for performing a database search using a rewritten and annotated query are disclosed herein. In example embodiments, a profile lexicon is generated from a set of raw user profiles. A click-through lexicon is generated from a raw query log. A machine-learning model is trained for entity prediction using selected data. Query tagger data is generated using the profile lexicon, the click-through lexicon, and the machine-learning model. A raw query is received. The raw query is rewritten as an annotated query based on the generated query tagger data. A search of a database is performed using the annotated query. Results of the search are returned in response to the receiving of the raw query for presentation in a user interface.
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公开(公告)号：US20190197398A1
公开(公告)日：2019-06-27
申请号：US15855912
申请日：2017-12-27
发明人： Mohsen Jamali , Hamed Firooz , Samaneh Moghaddam , Mahdi Shafiei
IPC分类号： G06N3/08
CPC分类号： G06N3/08 , G06Q10/1053
摘要： Techniques for learning and leveraging embeddings for response prediction are provided. Based on training data, an embedding for each attribute value of multiple content items is generated, an embedding for each attribute value of multiple entities is generated, weights of a first neural network for content items is generated, and weights of a second neural network for requesting entities is generated. In response to receiving a request, a particular content item is identified. A first set of embeddings for the particular content item is identified and input into the first neural network to generate first output. A particular requesting entity that initiated the content request is identified. A second set of embeddings for the particular requesting entity is identified and input into the second neural network to generate second output. The particular content item is selected based on the first output and the second output.
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公开(公告)号：US20190197158A1
公开(公告)日：2019-06-27
申请号：US15849723
申请日：2017-12-21
发明人： Hamed Firooz , Lin Guo
摘要： Techniques for performing a database search using a rewritten and annotated query are disclosed herein. In example embodiments, a profile lexicon is generated from a set of raw user profiles. A click-through lexicon is generated from a raw query log. A machine-learning model is trained for entity prediction using selected data. Query tagger data is generated using the profile lexicon, the click-through lexicon, and the machine-learning model. A raw query is received. The raw query is rewritten as an annotated query based on the generated query tagger data. A search of a database is performed using the annotated query. Results of the search are returned in response to the receiving of the raw query for presentation in a user interface.
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