Talent search and recommendation systems at LinkedIn: Practical challenges and lessons learned
In this talk, we present the overall system design and architecture, the challenges
encountered in practice, and the lessons learned from the production deployment of the …
encountered in practice, and the lessons learned from the production deployment of the …
Memory Augmented Cross-encoders for Controllable Personalized Search
S Mysore, G Dhanania, K Patil, S Kallumadi… - arXiv preprint arXiv …, 2024 - arxiv.org
Personalized search represents a problem where retrieval models condition on historical
user interaction data in order to improve retrieval results. However, personalization is …
user interaction data in order to improve retrieval results. However, personalization is …
Planes, Trains and Automobiles: Leverage Multimodal In-Mission Signals for Shopping Journeys
Modern search systems offer multiple ways for expressing information needs, including
image, voice, and text. Consequently, an increasing number of users seamlessly transition …
image, voice, and text. Consequently, an increasing number of users seamlessly transition …
[PDF][PDF] Learning-to-Rank: A New Web Ranking Algorithm using Artificial Neural Network
F Al-akashi - International Journal of Hybrid Innovation …, 2021 - gvpress.com
The objective of this manuscript is to present a neural network algorithm for boosting the
relevancy rank of 50000 documents (1000 results for each query) retrieved by our traditional …
relevancy rank of 50000 documents (1000 results for each query) retrieved by our traditional …
Keeping Up with the Market: Extracting competencies from Norwegian job listings
AG Fagerbakk - 2021 - munin.uit.no
The Norwegian labour market is under continuous change because of fast-paced innovation
in technology. It is therefore vital for educational institutions curricula to reflect the changing …
in technology. It is therefore vital for educational institutions curricula to reflect the changing …
Controllable Personalization for Information Access
S Mysore - 2024 - scholarworks.umass.edu
Abstract Information access systems mediate how we find and discover information in nearly
every walk of life. The ranking models powering these systems base their predictions on …
every walk of life. The ranking models powering these systems base their predictions on …
Search Personalization at Netflix
V Ostuni, C Kofler, M Nilange, S Lamkhede… - … Proceedings of the …, 2023 - dl.acm.org
At Netflix, personalization plays a key role in several aspects of our user experience, from
ranking titles to constructing an optimal Homepage. Although personalization is a well …
ranking titles to constructing an optimal Homepage. Although personalization is a well …
Generalized mixed effect models for personalizing job search
Job Search is a core product at LinkedIn which makes it essential to generate highly
relevant search results when a user searches for jobs on Linkedin. Historically job results …
relevant search results when a user searches for jobs on Linkedin. Historically job results …
Assessing bias removal from word embeddings
C Arrington - 2019 - scholar.umw.edu
As machine learning becomes more influential in everyday life, we must begin addressing
potential shortcomings. A current problem area is word embeddings, frameworks that …
potential shortcomings. A current problem area is word embeddings, frameworks that …
[HTML][HTML] Planes, trains and automobiles: Leverage multimodal in-mission signals for shopping journeys
V Ha, S Li, A Ramisa, X Zhu - 2024 - amazon.science
Modern search systems offer multiple ways for expressing information needs, including
image, voice, and text. Consequently, an increasing number of users seamlessly transition …
image, voice, and text. Consequently, an increasing number of users seamlessly transition …