Feb 16, 2016 · We exploit a data-driven approach that extracts searcher intents from their profile data and recent activities at a large scale.
The intents such as job seeking, hiring, content consuming are used to construct features to personalize federated search experience. We tested the approach on ...
Dec 14, 2024 · The intents such as job seeking, hiring, content consuming are used to construct features to personalize federated search experience. We tested ...
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Arya et al. [2] proposed a personalized federated search framework to retrieve information such as user profiles, jobs, or professional groups from diverse ...
In this paper, we propose an approach to address the problem of personalized expertise search on LinkedIn, particularly for exploratory search queries ...
Missing: Federated | Show results with:Federated
ABSTRACT. LinkedIn has grown to become a platform hosting diverse sources of information ranging from member profiles, jobs,.
Mar 14, 2018 · The Search Federation team's mission is to help our members and customers find resources by searching across these engines.
Missing: Personalized | Show results with:Personalized
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Mar 5, 2025 · Federated learning (FL) is a machine learning technique that enables training machine learning models across multiple decentralized edge devices.
Missing: Personalized | Show results with:Personalized
Given results from multiple verticals, a federated model blends them into a single search result page. To personalize the federated model, we mine members' ...