Results 1 to 10 of about 7,528,176 (292)
Mitigating Cold Start Problem in Serverless Computing with Function Fusion [PDF]
Sensors, 2021 As Artificial Intelligence (AI) is becoming ubiquitous in many applications, serverless computing is also emerging as a building block for developing cloud-based AI services.
Seungjun Lee +3 more
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User Cold Start Problem in Recommendation Systems: A Systematic Review
IEEE Access, 2023 The recommendation system makes recommendations based on the preferences of the users. These user preferences usually come from the user’s basic information, item rating, historical data, and so on.
Hongli Yuan, Alexander A. Hernandez
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Facing the Cold Start Problem in Recommender Systems
Expert Systems With Applications, 2014 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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Addressing the Cold-Start Problem in Personalized Flight Ticket Recommendation [PDF]
IEEE Access, 2019 With the rapid development of the tourist industry, an increasing number of passengers book flight tickets through online travel agencies. When searching for a flight ticket online, users are overwhelmed by the choice on offer.
Qi Gu, Jian Cao, Yafeng Zhao, Yudong Tan
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Alleviating Item-Side Cold-Start Problems in Recommender Systems Using Weak Supervision
IEEE Access, 2020 Recently, recommender systems have been used in various fields. However, they are still plagued by many issues, including cold-start and sparsity problems.
Sang-Min Choi +4 more
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Bid Landscape Forecasting and Cold Start Problem With Transformers
IEEE AccessIn Real-Time Bidding, advertisers aim to optimally bid within a limited budget constraint. Effective bidding strategies require bid landscape forecasting to predict the probability distribution of market price for each advertisement auction.
Daria Yakovleva +3 more
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Active learning algorithm for alleviating the user cold start problem of recommender systems [PDF]
Scientific ReportsA key challenge in recommender systems is how to profile new users. A popular solution for this problem is to use active learning strategies. These strategies request ratings for a small set of carefully selected items to reveal the preferences of new ...
Toon De Pessemier +2 more
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Frontiers in Computer ScienceThis article introduces a recommendation system that merges a knowledge-based (attribute-based) approach with collaborative filtering, specifically addressing the challenges of the pure-cold start scenario in personalized e-learning. The system generates
Hala Butmeh, Abdallatif Abu-Issa
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Cross-domain Recommendation Based on Review Aspect-level User Preference Transfer [PDF]
Jisuanji kexue, 2022 In order to solve the user cold-start problem caused by data-sparse in recommender system,this paper proposes a cross-domain recommendation algorithm based on aspect-level user preference transfer,named CAUT.CAUT is devised to learn aspect transfer ...
ZHANG Jia, DONG Shou-bin
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Real Estate Recommendation Approach for Solving the Item Cold-Start Problem
IEEE Access, 2021 The item cold-start problem occurs when a recommendation system cannot recommend new items owing to record deficiencies and new listing omissions. When searching for real estate, users can register a concurrent interest in recent and prior projects. Thus,
Jirut Polohakul +3 more
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