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Cold Start Problem in Citation Link Prediction
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APOSM: Pairwise preference learning improves generative small-molecule design
Dreisler MW +3 more
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Facing the Cold Start Problem in Recommender Systems
A recommender system (RS) aims to provide personalized recommendations to users for specific items (e.g., music, books). Popular techniques involve content-based (CB) models and collaborative filtering (CF) approaches. In this paper, we deal with a very important problem in RSs: The cold start problem.
Stathes Hadjiefthymiades +1 more
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A Hybrid Solution For The Cold Start Problem In Recommendation
The Computer Journal, 2023Abstract Recommender systems are becoming more and more significant in today’s digital world and in the modern economy. They make a substantial contribution to company operations by offering tailored advice and decreasing overwhelm. Collaborative filtering, being popular in the domain of recommendation, is used to offer recommendations ...
Syed Irteza Hussain Jafri +4 more
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Assessing the Cold Start Problem in Adaptive Systems
Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V. 2, 2021This study presents a comparison of the following methods for estimating task difficulty in terms of the so-called "cold start" problem - during the initial phase of the introduction of the adaptive educational system to the public. The data originates from the item-based online programming course made available on the RunCode online ...
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Solving the cold-start problem in scientific credit allocation
Journal of Informetrics, 2021Abstract A nearly universal trend in science today is the prominence of ever-increasing collaborative teams. Hence, identifying the relative credit due to each collaborator of published studies is of high significance. Although numerous methods have been employed to address this issue, allocating credit to all co-authors of new papers remains ...
Yanmeng Xing +3 more
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