Results 21 to 30 of about 3,999,655 (320)
Cold-Start Collaborative Filtering [PDF]
ACM SIGIR Forum, 2016 Collaborative Filtering (CF) is a technique to generate personalised recommendations for a user from a collection of correlated preferences in the past. In general, the effectiveness of CF greatly depends on the amount of available information about the target user and the target item.
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Towards Hyper-Relevance in Marketing: Development of a Hybrid Cold-Start Recommender System
Applied Sciences, 2023 Recommender systems position themselves as powerful tools in the support of relevance and personalization, presenting remarkable potential in the area of marketing.
Leonor Fernandes +3 more
doaj +1 more source
Large Language Models as Data Augmenters for Cold-Start Item Recommendation [PDF]
The Web ConferenceThe reasoning and generalization capabilities of LLMs can help us better understand user preferences and item characteristics, offering exciting prospects to enhance recommendation systems.
Jianling Wang +4 more
semanticscholar +1 more source
ColdNAS: Search to Modulate for User Cold-Start Recommendation [PDF]
The Web Conference, 2023 Making personalized recommendation for cold-start users, who only have a few interaction histories, is a challenging problem in recommendation systems.
Shiguang Wu +5 more
semanticscholar +1 more source
Large Language Model Simulator for Cold-Start Recommendation [PDF]
Web Search and Data MiningRecommending cold items remains a significant challenge in billion-scale online recommendation systems. While warm items benefit from historical user behaviors, cold items rely solely on content features, limiting their recommendation performance and ...
Feiran Huang +8 more
semanticscholar +1 more source
Real-Time Control of Gas Supply System for a PEMFC Cold-Start Based on the MADDPG Algorithm
Energies, 2023 During the cold-start process of a PEMFC, the supply of air and hydrogen in the gas supply system has a great influence on the cold-start performance. The cold-start of a PEMFC is a complex nonlinear coupling process, and the traditional control strategy
Lei Pan, Tong Zhang, Yuan Gao
doaj +1 more source
Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users [PDF]
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021 Cold-start problems are enormous challenges in practical recommender systems. One promising solution for this problem is cross-domain recommendation (CDR) which leverages rich information from an auxiliary (source) domain to improve the performance of ...
Yongchun Zhu +7 more
semanticscholar +1 more source
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining, 2010 In the traditional link prediction problem, a snapshot of a so- cial network is used as a starting point to predict, by means of graph-theoretic measures, the links that are likely to ap- pear in the future. In this paper, we introduce cold start link prediction as the problem of predicting the structure of a social network when the network itself is ...
Leroy, Vincent +2 more
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Agritech, 2014 A model of gas stove for traditional tofu industry was designed and tested. one of the focuses of cleaner production is energy efficiency, so the stove was designed to have good thermal efficiency and low energy consumption.
Andi Taufan +2 more
doaj +1 more source
MetaKG: Meta-Learning on Knowledge Graph for Cold-Start Recommendation [PDF]
IEEE Transactions on Knowledge and Data Engineering, 2022 A knowledge graph (KG) consists of a set of interconnected typed entities and their attributes. Recently, KGs are popularly used as the auxiliary information to enable more accurate, explainable, and diverse user preference recommendations. Specifically,
Yuntao Du +4 more
semanticscholar +1 more source