Results 261 to 270 of about 7,593,003 (291)

A Hybrid Recommendation Algorithm to Address the Cold Start Problem

2019
In this age where there are a lot of available data, recommender systems are a way to filter the useful information. A recommender system’s purpose is to recommend relevant items to users, and to do that, it requires information on both, data from users and from items, to better organize and categorize both of them.
Licínio Castanheira de Carvalho, Fátima Rodrigues 0001, Pedro Oliveira 0009   +2 more
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Addressing the Cold-Start Problem in Facial Expression Recognition

2015
In our previous research [5] we proposed a CBR approach to infer the emotional state of the user through the analysis of a picture taken from the front facing camera of her mobile device. We demonstrated that different people express emotions with different gestures and got the best accuracy using a personal case base with self pictures of the same ...
Jose L. Jorro-Aragoneses, Belén Díaz-Agudo, Juan A. Recio-García   +2 more
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The Cost of the Cold-Start Problem on Airbnb

With peer-to-peer reviews, new products face a “cold-start” problem because consumers who review an unreviewed product generate an informational externality. Our structural estimates for Manhattan Airbnbs, featuring Bayesian learning and an endogenous supply side, put it at 3% of the rental price, 60% coming from stronger market selection through entry
Florian Dendorfer, Regina Seibel
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A Semantic-Based Recommendation Approach for Cold-Start Problem

2017
Recommender systems (RS) can predict a list of items which are appropriated to users by using collaborative or content-based filtering methods. The former is more popular than the latter approach, however, it suffers from cold-start problem which can be known as new-user or new-item problems.
Huynh Thanh-Tai, Nguyen Thai-Nghe
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Incorporating Semantic Item Representations to Soften the Cold Start Problem

Proceedings of the 24th Brazilian Symposium on Multimedia and the Web, 2018
Recommender systems have been extensively used to provide meaningful and personalized content to users. A recurring issue, especially in collaborative filtering methods, is the cold-start problem, which can be related to new items or new users. This problem can be smoothed by aggregating item information into the recommender calculation, thus the ...
Rafael Martins D'Addio, Eduardo P. Fressato, Arthur F. Da Costa, Marcelo G. Manzato   +3 more
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IGCRGA: A Novel Heuristic Approach for Personalization of Cold Start Problem

2011 Fifth Asia Modelling Symposium, 2011
IGCRGA, an acronym for Information Gain Clustering through Rank Based Genetic Algorithm, is a novel heuristic used in Recommender System (RS) for solving personalization problems. In a bid to improve th equality of recommendation of RS and to alleviate the problem associated with personalization heuristics, which use fitness value in the clustering ...
Mohd Abdul Hameed, S. Ramachandram, Omar Al Jadaan   +2 more
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PROBLEMS OF HIGH OIL CONSUMPTION AND COLD STARTING

Scientific Lubrication, 1959
IN HIS CHAIRMAN'S ADDRESS to the Automobile Division of The Institution of Mechanical Engineers, on the 6th October, L. H. Dawtrey, M.I.Mech.E. (Chief Engineer, Research and Development, The Standard Motor Co., Ltd.) presented a paper entitled “Some Problems We Meet,” in which he outlined the problems with which he had been confronted during his ...
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Information Diffusion Approach to Cold-Start Problem

2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops, 2007
Masayuki Ishikawa, Peter Géczy, Noriaki Izumi, Takeshi Morita 0001, Takahira Yamaguchi   +4 more
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Solving the Contextual Pure Cold-Start Problem under Uncertainty

ACM Transactions on Recommender Systems
Part of the success of an online media platform depends on its ability to convert first-time users into recurring ones. However, this task is often challenging due to the Pure Cold-start problem, which refers to the difficulty of providing useful recommendations to users without historical data. Although presenting a list of popular items may seem like
Paula Gómez Duran, Axel Brando, Jordi Vitrià   +2 more
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The Diesel Engine Cold Starting Problem

SAE Technical Paper Series, 1949
F. L. NELSON, C. J. ULZHEIMER
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