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Trend Makers and Trend Spotters in a Mobile Application

by Xiaolan Sha, Daniele Quercia, Pietro Michiardi
"... Media marketers and researchers have shown great interest in what becomes a trend within social media sites. Their interests have focused on analyzing the items that become trends, and done so in the context of Youtube, Twitter, and Foursquare. Here we move away from these three platforms and consid ..."
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and consider a new mobile social-networking application with which users share pictures of “cool ” things they find in the real-world. Besides, we shift focus from items to people. Specifically, we focus on those who generate trends (trend makers) and those who spread them (trend spotters). We analyze

Spotting trends: the wisdom of the few

by Xiaolan Sha, Sophia Antipolis, Pietro Michiardi, Sophia Antipolis, Daniele Quercia, Sophia Antipolis - In Proc. of the Recsys ’12 , 2012
"... Social media sites have used recommender systems to suggest items users might like but are not already familiar with. These items are typically movies, books, pictures, or songs. Here we consider an alternative class of items- pictures posted by design-conscious individuals. We do so in the context ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
of a mobile application in which users find “cool ” items in the real world, take pictures of them, and share those pictures online. In this context, temporal dynamics matter, and users would greatly profit from ways of identifying the latest design trends. We propose a new way of recommending trending

Applications: Trend and Prospects

by Sandeep Kumar Vashist
"... There has been a rapidly growing trend towards the use of nanomaterials (NM) in healthcare and bioanalytical sciences during the last decade. It has led to a wide range of prospective applications of NM in biosensors, diagnostics, therapeutics, drug delivery, medicine, biomedical imaging, signal enh ..."
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There has been a rapidly growing trend towards the use of nanomaterials (NM) in healthcare and bioanalytical sciences during the last decade. It has led to a wide range of prospective applications of NM in biosensors, diagnostics, therapeutics, drug delivery, medicine, biomedical imaging, signal

[MAKERS] HELLO, WORLD!

by unknown authors
"... We live in interesting times. While people have been “making ” things for quite a while, the last few years has seen the emergence of a distinctive maker and DIY (“do-it-yourself ”) culture all around the world. One interesting facet of the maker culture is its pervasiveness. One does not need a PhD ..."
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plethora of applications that the maker community is interested in. This changes over time but recently, there is great interest in small robots, flying drones and quantifying one’s daily routines and habits. In this piece, we’ll be exploring some of these broad trends.

Instance-based learning in dynamic decision making

by Cleotilde Gonzalez, Javier F. Lerch, Christian Lebiere - Cognitive Science , 2003
"... This paper presents a learning theory pertinent to dynamic decision making (DDM) called instancebased learning theory (IBLT). IBLT proposes five learning mechanisms in the context of a decision-making process: instance-based knowledge, recognition-based retrieval, adaptive strategies, necessity-base ..."
Abstract - Cited by 104 (44 self) - Add to MetaCart
how the IBLT’s learning mechanisms closely approximate the relative trend magnitude and performance of human data. Although the cognitive model is bounded within the context of a dynamic task, the IBLT is a general theory of decision making applicable to other dynamic environments.

DSS applications in forest policy and management: Analysis of current trends

by Antonios Athanasiadis, Andreopoulou Zacharoula
"... Abstract. Today, not only scientists and researchers, but public services and governments as well use DSS (Decision Support System) methods to solve forest policy and management problems in order to meet the multiple needs of the public and to achieve the greatest possible effectiveness. This paper ..."
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presents and analyses the current trends in emerging DSS applications for the sector of forest policy and management. The research relates to the scientific journal articles that propose a DSS since 2007 and until the present. The DSS are registered and classified as to their characteristics

Predicting Future Popularity Trend of Events in Microblogging Platforms

by Manish Gupta, Jing Gao, Chengxiang Zhai, Jiawei Han
"... The fast information sharing on Twitter from millions of users all over the world leads to almost real-time reporting of events. It is extremely important for business and administrative decision makers to learn events ’ popularity as quickly as possible, as it can buy extra precious time for them t ..."
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~133 million tweets show the effectiveness of the extracted features and learning approaches. The predicted popularity trend of events can be directly used for a variety of applications including recommendation systems, ad keywords bidding price decisions, stock trading decisions, dynamic ticket

Strategic facility location: A review

by Susan Hesse Owen , Mark S Daskin - European Journal of Operational Research , 1998
"... Abstract Facility location decisions are a critical element in strategic planning for a wide range of private and public ®rms. The rami®cations of siting facilities are broadly based and long-lasting, impacting numerous operational and logistical decisions. High costs associated with property acqui ..."
Abstract - Cited by 81 (7 self) - Add to MetaCart
well according to the current system state, but that will continue to be pro®table for the facility's lifetime, even as environmental factors change, populations shift, and market trends evolve. Finding robust facility locations is thus a dicult task, demanding that decision makers account

Augmented Reality: Information for Workplace Decision-Makers, Managers, Workers and Researchers

by James K. Ford, Tobias Höllerer
"... Until recently, Augmented Reality (AR) technology has rarely been discussed outside of the computer science world. It has taken years for this technology to become closer to a stable existence, and will most likely take several more years before it will be used by average citizens. However, the tech ..."
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and collaborative task completion are essential, to be aware of this technology, its abilities, and the possible impacts to common workspaces and workers. The purpose of this chapter is to inform decision-makers of AR’s history, the completed research and current applications of AR, possible impacts to managers

Learning under Ambiguity

by Larry G. Epstein, Martin Schneider - Review of Economic Studies , 2002
"... This paper considers learning when the distinction between risk and ambiguity matters. It first describes thought experiments, dynamic variants of those provided by Ellsberg, that highlight a sense in which the Bayesian learning model is extreme-it models agents who are implausibly ambitious about w ..."
Abstract - Cited by 65 (9 self) - Add to MetaCart
— as they learn. A portfolio choice application compares the effect of changes in confidence under ambiguity versus changes in estimation risk under Bayesian learning. The former is shown to induce a trend towards more stock market participation and investment even when the latter does not. 1
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