This document summarizes a research paper that models the emergence of elites and hubs in social networks. The paper introduces a model with three rules: (1) two vertices are connected if their weights sum above a threshold, (2) the connection probability decreases with the difference in weights, and (3) directed edges only form from higher to lower weighted vertices. The model analytically derives the degree as a function of weight and identifies hubs as high weighted vertices and elites as much higher weighted vertices indirectly linked to most others. Simulation of the model with an exponential weight distribution shows it reproduces properties of real-world networks.
This document summarizes Takashi Umeda's summer seminar presentation on item-based collaborative filtering recommendation algorithms. The presentation introduced item-based CF as an improvement over traditional user-based CF algorithms. It evaluated item-based CF using movie rating data, finding it provided better prediction quality than nearest neighbor approaches, with higher online performance due to pre-computing static item similarities offline. While quality gains over nearest neighbor were small, item-based CF was shown to retain good prediction quality even when using only a subset of item similarities.
This document summarizes an academic paper titled "Item-Based Collaborative Filtering Recommendation Algorithms" presented at WWW 2001. It discusses item-based collaborative filtering, an improvement over traditional user-based collaborative filtering algorithms. Item-based CF involves precomputing item-to-item similarities offline which improves scalability. It then makes recommendations online by looking at similar items instead of similar users, reducing computation time from O(m^2n) to O(n) where m is the number of users and n is the number of items. The document outlines the key aspects of item-based CF including similarity metrics, prediction methods, and complexity analysis.
The document promotes pledging to participate in Global Service Day activities like planting trees on occasions, saving water, educating children about global warming, and saving trees to make the world a greener place. It encourages people to stay tuned to their mailboxes for more information and details about Global Service Day events and asks what people will pledge to do to help.
This document summarizes a research paper that models the emergence of elites and hubs in social networks. The paper introduces a model with three rules: (1) two vertices are connected if their weights sum above a threshold, (2) the connection probability decreases with the difference in weights, and (3) directed edges only form from higher to lower weighted vertices. The model analytically derives the degree as a function of weight and identifies hubs as high weighted vertices and elites as much higher weighted vertices indirectly linked to most others. Simulation of the model with an exponential weight distribution shows it reproduces properties of real-world networks.
This document summarizes Takashi Umeda's summer seminar presentation on item-based collaborative filtering recommendation algorithms. The presentation introduced item-based CF as an improvement over traditional user-based CF algorithms. It evaluated item-based CF using movie rating data, finding it provided better prediction quality than nearest neighbor approaches, with higher online performance due to pre-computing static item similarities offline. While quality gains over nearest neighbor were small, item-based CF was shown to retain good prediction quality even when using only a subset of item similarities.
This document summarizes an academic paper titled "Item-Based Collaborative Filtering Recommendation Algorithms" presented at WWW 2001. It discusses item-based collaborative filtering, an improvement over traditional user-based collaborative filtering algorithms. Item-based CF involves precomputing item-to-item similarities offline which improves scalability. It then makes recommendations online by looking at similar items instead of similar users, reducing computation time from O(m^2n) to O(n) where m is the number of users and n is the number of items. The document outlines the key aspects of item-based CF including similarity metrics, prediction methods, and complexity analysis.
The document promotes pledging to participate in Global Service Day activities like planting trees on occasions, saving water, educating children about global warming, and saving trees to make the world a greener place. It encourages people to stay tuned to their mailboxes for more information and details about Global Service Day events and asks what people will pledge to do to help.
This document is an activity sheet from an environmental magazine that encourages students to interview local waste collectors (kabadiwalas) and junk dealers to learn about recycling. It instructs students to ask the kabadiwala about the types of waste collected, transportation used, and prices paid. It then has students visit a local junk dealer to learn where materials are sent for recycling and plot these locations on a map. Students are challenged to write an article on the role of kabadiwalas in waste recycling.
The document lists various useful resources related to the environment, including webpages tagged with "Environment" on Delicious and numerous YouTube video links on topics like general environmental issues, waste management, littering, water, art from trash, e-waste, air pollution, plastics, nature, trees, earthworms, and global warming.
This document encourages planting trees to save lives, saving water to save lives, and coming together on a global service day to make the world a greener place by doing more to reduce suffering.
The document discusses the multimedia framework for Maemo Summit Berlin 2008. It describes the delivery of multimedia APIs like GStreamer and codecs on ARM and DSP processors. It outlines existing uses like media players and new potential uses. It also discusses challenges including hardware acceleration and policy routing. The presentation introduces a new architecture with OpenMAX for codecs and PulseAudio for audio routing. It shows performance improvements with the OMAP 3430 processor and new software components like Camera-bin and improved testing.
Takashi Umeda is a researcher interested in recommendation algorithms, information diffusion on the internet, and consumer behavior in electronic commerce. He was born in Gifu Prefecture in 1985 and studied at Shizuoka University from 2003-2007 and the Tokyo Institute of Technology from 2007-2009. His bachelor's thesis examined direct financing in Silicon Valley using agent-based modeling and his master's thesis evaluated collaborative filtering using agent-based simulation in light of market environments. His research aims to design recommendation algorithms for electronic commerce by modeling interaction with market environments and evaluating collaborative filtering techniques.
Video Recommender in Viki (VikiでのVideoレコメンド事例)umekoumeda
The document describes improvements made to the video recommendation system on the Viki video streaming service. The existing system selected videos randomly based only on country and genre, resulting in a low click-through rate of 0.09%. The improvements aimed to boost this rate by incorporating user behavior data and additional video attributes into the recommendations. Specifically, the new system recommends videos that were commonly watched by users who had viewed the target video, and also considers attributes like television network, episodes, and parts when selecting videos for recommendations. An A/B test of the new system showed a click-through rate increase of over 32%.
The document discusses the importance of trees, water, and air in sustaining life on Earth. It highlights how trees provide oxygen, prevent soil erosion, and provide food and shelter. It notes how water is essential for plant growth, human consumption, electricity generation, and as an aquatic animal habitat. It also addresses the threats of air and water pollution from factories, cars, and wasteful usage. The document encourages conserving resources through recycling water, closing taps, using storage tanks, and avoiding unnecessary flushing or washing.
Este documento presenta las Orientaciones Pedagógicas para el año escolar 2015-2016 en Venezuela. Propone una serie de jornadas y asambleas a nivel municipal, estadal y nacional para la socialización y seguimiento de las orientaciones a lo largo del año, con la participación de directores, maestros, personal administrativo, familias y estudiantes. El objetivo es garantizar la implementación coordinada de las políticas educativas definidas y superar la fragmentación en pro de una educación inclusiva y pertinente.
This document is an activity sheet from an environmental magazine that encourages students to interview local waste collectors (kabadiwalas) and junk dealers to learn about recycling. It instructs students to ask the kabadiwala about the types of waste collected, transportation used, and prices paid. It then has students visit a local junk dealer to learn where materials are sent for recycling and plot these locations on a map. Students are challenged to write an article on the role of kabadiwalas in waste recycling.
The document lists various useful resources related to the environment, including webpages tagged with "Environment" on Delicious and numerous YouTube video links on topics like general environmental issues, waste management, littering, water, art from trash, e-waste, air pollution, plastics, nature, trees, earthworms, and global warming.
This document encourages planting trees to save lives, saving water to save lives, and coming together on a global service day to make the world a greener place by doing more to reduce suffering.
The document discusses the multimedia framework for Maemo Summit Berlin 2008. It describes the delivery of multimedia APIs like GStreamer and codecs on ARM and DSP processors. It outlines existing uses like media players and new potential uses. It also discusses challenges including hardware acceleration and policy routing. The presentation introduces a new architecture with OpenMAX for codecs and PulseAudio for audio routing. It shows performance improvements with the OMAP 3430 processor and new software components like Camera-bin and improved testing.
Takashi Umeda is a researcher interested in recommendation algorithms, information diffusion on the internet, and consumer behavior in electronic commerce. He was born in Gifu Prefecture in 1985 and studied at Shizuoka University from 2003-2007 and the Tokyo Institute of Technology from 2007-2009. His bachelor's thesis examined direct financing in Silicon Valley using agent-based modeling and his master's thesis evaluated collaborative filtering using agent-based simulation in light of market environments. His research aims to design recommendation algorithms for electronic commerce by modeling interaction with market environments and evaluating collaborative filtering techniques.
Video Recommender in Viki (VikiでのVideoレコメンド事例)umekoumeda
The document describes improvements made to the video recommendation system on the Viki video streaming service. The existing system selected videos randomly based only on country and genre, resulting in a low click-through rate of 0.09%. The improvements aimed to boost this rate by incorporating user behavior data and additional video attributes into the recommendations. Specifically, the new system recommends videos that were commonly watched by users who had viewed the target video, and also considers attributes like television network, episodes, and parts when selecting videos for recommendations. An A/B test of the new system showed a click-through rate increase of over 32%.
The document discusses the importance of trees, water, and air in sustaining life on Earth. It highlights how trees provide oxygen, prevent soil erosion, and provide food and shelter. It notes how water is essential for plant growth, human consumption, electricity generation, and as an aquatic animal habitat. It also addresses the threats of air and water pollution from factories, cars, and wasteful usage. The document encourages conserving resources through recycling water, closing taps, using storage tanks, and avoiding unnecessary flushing or washing.
Este documento presenta las Orientaciones Pedagógicas para el año escolar 2015-2016 en Venezuela. Propone una serie de jornadas y asambleas a nivel municipal, estadal y nacional para la socialización y seguimiento de las orientaciones a lo largo del año, con la participación de directores, maestros, personal administrativo, familias y estudiantes. El objetivo es garantizar la implementación coordinada de las políticas educativas definidas y superar la fragmentación en pro de una educación inclusiva y pertinente.
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