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Performance Characterization of Game Recommendation Algorithms on Online Social Network Sites

Journal of Computer Science & Technology 2012年第3期27卷 611-623页

作者： philip leroux Bart Dhoedt Piet Demeester Filip De Turck Department of Information Technology Interdisciplinary Institute for Broadband Technology(IBBT) Ghent UniversityG.Crommenlaan 8/201B-9050 GentBelgiumStudent MemberIEEE Department of Information Technology Interdisciplinary Institute for Broadband Technology(IBBT) Ghent UniversityG.Crommenlaan 8/201B-9050 GentBelgiumMemberIEEE Department of Information Technology Interdisciplinary Institute for Broadband Technology(IBBT) Ghent UniversityG.Crommenlaan 8/201B-9050 GentBelgiumFellowIEEE Department of Information Technology Interdisciplinary Institute for Broadband Technology(IBBT) Ghent UniversityG.Crommenlaan 8/201B-9050 GentBelgiumSenior MemberIEEE

Since years, online social networks have evolved from profile and communication websites to online portals where people interact with each other, share and consume multimedia-enriched data and play different types of games. Due to the immense popularity of these online games and their huge revenue potential, the number of these games increases every day, resulting in a current offering of thousands of online social games. In this paper, the applicability of neighborhood-based collaborative filtering （CF） algorithms for the recommendation of online social games is evaluated. This evaluation is based on a large dataset of an online social gaming platform containing game ratings （explicit data） and online gaming behavior （implicit data） of millions of active users. Several similarity metrics were implemented and evaluated on the explicit data, implicit data and a combination thereof. It is shown that the neighborhood-based CF algorithms greatly outperform the content-based algorithm, currently often used on online social gaming websites. The reslflts also show that a combined approach, fie, taking into account both implicit and explicit data at the same time, yields overall good results on all evaluation metrics for all scenarios, while only slightly performing worse compared to the strengths of the explicit or implicit only approaches. The best performing algorithms have been implemented in a live setup of the online game platform.

关键词： mining method and algorithm data mining personalization

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Impact of lipids and lipoproteins on hepatitis C virus infection and virus neutralization

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World Journal of Gastroenterology 2014年第43期20卷 15975-15991页

作者： Koen Vercauteren Ahmed Atef Mesalam Geert leroux-Roels philip Meuleman Center for Vaccinology Ghent University Hospital Ghent University

Hepatitis C virus(HCV)infections represent a major global health ***-stage liver disease caused by chronic HCV infection is a major indication for liver ***,after transplantation the engrafted liver inevitably becomes infected by the circulating *** acting antivirals are not yet approved for use in liver transplant patients,and limited efficacy and severe side effects hamper the use of pegylated interferon combined with ribavirin in a post-transplant ***,alternative therapeutic options need to be *** entry represents an attractive target for such therapeutic *** the mechanisms of viral entry is essential to define the viral and cellular factors *** HCV life cycle is dependent of and associated with lipoprotein physiology and the presence of lipoproteins has been correlated with altered antiviral efficacy of entry *** thisreview,we summarise the current knowledge on how lipoprotein physiology influences the HCV life *** focus especially on the influence of lipoproteins on antibodies that target HCV envelope proteins or antibodies that target the cellular receptors of the *** information can be particularly relevant for the prevention of HCV re-infection after liver transplantation.

关键词： Hepatitis Lipids Neutralisation Antiviral therapy Animal models

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Recent advances in seasonal and multi-annual tropical cyclone forecasting

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Tropical Cyclone Research and Review 2023年第3期12卷 182-199页

作者： Yuhei Takaya Louis-philippe Caron Eric Blake Francois Bonnardot Nicolas Bruneau Joanne Camp Johnny Chan Paul Gregory Jhordanne J.Jones Namyoung Kang philip J.Klotzbach Yuriy Kuleshov Marie-Dominique leroux Julia F.Lockwood Hiroyuki Murakami Akio Nishimura Dushmanta R.Pattanaik Tom J.Philp Yohan Ruprich-Robert Ralf Toumi Frederic Vitart Seonghee Won Ruifen Zhan Meteorological Research Institute Japan Meteorological AgencyIbarakiJapan Ouranos MontrealCanada National Hurricane Center National Oceanic and Atmospheric AdministrationMiamiUSA Meteo-France Direction Interregionale pour l'Ocean IndienSaint-Denisde La ReunionFrance Reask LondonUK Bureau of Meteorology VictoriaAustralia City University of Hong Kong Hong KongChina Asia-Pacific Typhoon Collaborative Research Center ShanghaiChina Shanghai Typhoon Institute China Meteorological AdministrationShanghaiChina Department of Earth Atmosphericand Planetary SciencesPurdue UniversityWest LafayetteUSA University Corporation for Atmospheric Research BoulderUSA Department of Geography Kyungpook National UniversityDaeguRepublic of Korea Department of Atmospheric Science Colorado State UniversityFort CollinsUSA Royal Melbourne Institute of Technology(RMIT)University MelbourneAustralia Met Office Hadley Centre ExeterUK National Oceanographic and Atmospheric Administration/Geophysical Fluid Dynamics Laboratory PrincetonUSA Japan Meteorological Agency TokyoJapan India Meteorological Department New DelhiIndia Maximum Information LondonUK Barcelona Supercomputing Center BarcelonaSpain Department of Physics Imperial College LondonLondonUK European Centre for Medium-Range Weather Forecasts(ECMWF) ReadingUK Korea Meteorological Administration JejuRepublic of Korea Department of Atmospheric and Oceanic Sciences&Institute of Atmospheric Sciences Fudan UniversityShanghaiChina

Seasonal tropical cyclone(TC)forecasting has evolved substantially since its commencement in the early ***,present operational seasonal TC forecasting services still do not meet the requirements of society and stakeholders:current operational products are mainly basin-scale information,while more detailed sub-basin scale information such as potential risks of TC landfall is anticipated for decision *** fill this gap and make the TC science and services move forward,this paper reviews recent research and development in seasonal tropical cyclone(TC)*** particular,this paper features new research topics on seasonal TC predictability in neutral conditions of El Ni˜no–Southern Oscillation(ENSO),emerging forecasting techniques of seasonal TC activity including Machine Learning/Artificial Intelligence,and multi-annual TC *** also review the skill of forecast systems at predicting landfalling statistics for certain regions of the North Atlantic,Western North Pacific and South Indian oceans and discuss the gap that remains between current products and potential user's *** knowledge and advanced forecasting techniques are expected to further enhance the capability of seasonal TC forecasting and lead to more actionable and fit-for-purpose products.

关键词： Tropical cyclones Seasonal forecasting Climate services

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