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The wisdom of the few

Xavier Amatriain, Neal Lathia, Josep M. Pujol, Haewoon Kwak, Nuria Oliver
2009 Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval - SIGIR '09  
In this work, we present a novel method for recommending items to users based on expert opinions.  ...  Our method is a variation of traditional collaborative filtering: rather than applying a nearest neighbor algorithm to the user-rating data, predictions are computed using a set of expert neighbors from  ...  INTRODUCTION Collaborative filtering (CF) is the current mainstream approach used to build web-based recommender systems [1] .  ... 
doi:10.1145/1571941.1572033 dblp:conf/sigir/AmatriainLPKO09 fatcat:oyoggsls4nhe5psxs4saqps364

Expert Stock Picker: The Wisdom of (Experts in) Crowds

Shawndra Hill, Noah Ready-Campbell
2011 International Journal of Electronic Commerce  
Our contribution is that we provide a method based on a genetic algorithm (GA) to learn the appropriate contributions of independent users through the use of observed past individual performance.  ...  The phrase "the wisdom of crowds" suggests that good verdicts can be achieved by averaging the opinions and insights of large, diverse groups of people who possess varied types of information.  ...  approach, will outperform using the entire crowd to vote-we used a GA to identify an investment strategy relying on a blend of expert-based wisdom and crowd-based wisdom.  ... 
doi:10.2753/jec1086-4415150304 fatcat:kta5bia4rjhstbb2ag6mgwlrtu

The wisdom of polarized crowds

Feng Shi, Misha Teplitskiy, Eamon Duede, James A. Evans
2019 Nature Human Behaviour  
Here, we explore the effect of ideological composition on team performance by analysing millions of edits to Wikipedia's political, social issues and science articles.  ...  Our analysis reveals that polarized teams consisting of a balanced set of ideologically diverse editors produce articles of a higher quality than homogeneous teams.  ...  We measured the quality of Wikipedia articles algorithmically using a prominent approach that draws on features derived from article content alone and not information about editors or their collaboration  ... 
doi:10.1038/s41562-019-0541-6 pmid:30971793 fatcat:ig5d3rntkredlbynaybwz2q3xi

Wisdom-of-the-crowds to enhance innovation: state of the art

Irina Saur-Amaral
2015 Journal of Innovation Management  
Our paper performs a systematic literature review on academic and non-academic studies on "wisdom of the crowds" or "collective intelligence" and its possible usage to enhance innovation, with or without  ...  We aggregate and critically compare contributions since 2004, when the concept was coined, in a conceptual framework meant to assist innovation professionals in sourcing various types of knowledge from  ...  base on collective intelligence/"wisdom of the crowds" usage for innovation, a framework to assist innovation professionals and scholars interested in further studying the concept.  ... 
doi:10.24840/2183-0606_003.003_0007 fatcat:kpld2qwbe5ddpg5zeifu57dbpy

Wikipedia and the Wisdom of Crowds: A Student Project

Greg Barnhisel, Marcia Rapchak
2014 Communications in Information Literacy  
Students in a senior English class examined the question of whether the 'wisdom of experts' or 'the wisdom of crowds' is more reliable and useful in a writing course by engaging in a parallel Wikipedia  ...  what they learned; simultaneously, the class as a whole collaborated on a Wikipedia entry about a local landmark's controversy.  ...  But like Student 2, her opinion changed: During class, I answered the question, "What is more reliable, the wisdom of experts, or the wisdom of crowds?"  ... 
doi:10.15760/comminfolit.2014.8.1.158 fatcat:uq75hqpql5h47caqx6rv6tlkpu

The application of artificial intelligence in software engineering: a review challenging conventional wisdom [article]

Feras A. Batarseh, Rasika Mohod, Abhinav Kumar, Justin Bui
2021 arXiv   pre-print
Lastly, this chapter aims to provide serious questions to challenging the current conventional wisdom (i.e., status quo) of the state-of-the-art, craft a call for action, and to redefine the path forward  ...  This survey chapter is a review of the most commonplace methods of AI applied to SE.  ...  There are four basic types of recommendation approaches: 1. Collaborative filtering (implementation of word-of-mouth promotion) 2.  ... 
arXiv:2108.01591v1 fatcat:5vmh7wa6mnaotdlcmzm56uunga

Social Learning and the Accuracy-Risk Trade-off in the Wisdom of the Crowd [article]

Dhaval Adjodah, Yan Leng, Shi Kai Chong, P. M. Krafft, Esteban Moro, Alex Pentland
2020 arXiv   pre-print
To answer this question, we conducted a large online Wisdom of the Crowd study where participants predicted the prices of real financial assets (e.g. S&P 500).  ...  We also observe that social learning leads to superior accuracy during one of our rounds that occurred during the high market uncertainty of the Brexit vote.  ...  Higher relative errors in round 2 are an artifact of the fact that a few dollars' error on the lower price of WTI Oil seems like a higher error compared to same absolute error on the higher prices of the  ... 
arXiv:2007.09505v1 fatcat:tlgplkt2pnbsdonimj4uze5ile

On the Emerging Supremacy of Structured Digital Data in Archaeology: A Preliminary Assessment of Information, Knowledge and Wisdom Left Behind

Piraye Hacıgüzeller, James Stuart Taylor, Sara Perry
2021 Open Archaeology  
We ground our argument in a case study of a range of texts produced by practitioners working on the Çatalhöyük Research Project.  ...  We attempt to map short excerpts from these texts to structured data via the CIDOC Conceptual Reference Model.  ...  JST prepared the majority of the figures and tables with additions from PH. SP took the lead in the revision process on the basis of the comments of two anonymous reviewers.  ... 
doi:10.1515/opar-2020-0220 fatcat:ifjxgysjtjc7peetbbzu2fl2da

Towards Fully Distributed and Privacy-Preserving Recommendations via Expert Collaborative Filtering and RESTful Linked Data

Jae-wook Ahn, Xavier Amatriain
2010 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology  
Expert Collaborative Filtering is an approach to recommender systems in which recommendations for users are derived from ratings coming from domain experts rather than peers.  ...  We also describe a number of technologies and an architectural solution based on REST and the use of Linked Data that can be used to implement a completely distributed and privacy-preserving recommender  ...  Acknowledgements This work has been partly funded by an ICREA grant from the Catalan Government.  ... 
doi:10.1109/wi-iat.2010.53 dblp:conf/webi/AhnA10 fatcat:hkoyhg37prfthejlujyq775wsu

A brief survey of computational approaches in Social Computing

Irwin King, Jiexing Li, Kam Tong Chan
2009 2009 International Joint Conference on Neural Networks  
Sentiment Analysis and Opinion Mining Opinion mining focuses on extracting people's opmion from the web.  ...  Collaborative Filtering Collaborative filtering is the process of identifying information interest of a specific user based on the information provided by other similar users.  ... 
doi:10.1109/ijcnn.2009.5178967 dblp:conf/ijcnn/KingLC09 fatcat:x4bvi2roovezlmjb4fdjpjowya

Metadata Enrichment for Digital Heritage: Users as Co-Creators

Getaneh Alemu
2018 The international information & library review  
Developments in standards-based metadata approaches, Linked Data and discovery can help to uniquely identify, structure, aggregate, analyse and present socially-constructed metadata.  ...  It is argued, metadata enriching improves the search-ability, browse-ability, find-ability, preserveability, usability and management of digital heritage.  ...  paper, hierarchical, structured and standards-based metadata on the one hand and bottom-up, collaborative and Web 2.0 approaches of user metadata co-creation on the other are not in opposition.  ... 
doi:10.1080/10572317.2018.1449426 fatcat:t64uoha43zbhzbd4m4qbrylo5e

The other side of the social web

Peter Brusilovsky
2012 Proceedings of the 18th Brazilian symposium on Multimedia and the web - WebMedia '12  
A number of research groups worldwide explore what we call social information access techniques that help users get to the right information using "collective wisdom" distilled from actions of those who  ...  This invited talk offers a brief introduction into this important research stream and reviews recent works on social information access performed at the University of Pittsburgh's PAWS Lab lead by the  ...  Collaborative filtering technologies were designed as an extension of traditional information filtering that has been long based on user explicit feedback [9] .  ... 
doi:10.1145/2382636.2382638 dblp:conf/webmedia/Brusilovsky12 fatcat:rvu6v5eyprb3ffx2bygvw5bq4a

Crowdsourcing the assembly of concept hierarchies

Kai Eckert, Mathias Niepert, Christof Niemann, Cameron Buckner, Colin Allen, Heiner Stuckenschmidt
2010 Proceedings of the 10th annual joint conference on Digital libraries - JCDL '10  
We finally use these methods to construct a concept hierarchy based on the feedback acquired from AMT workers.  ...  The approach combines statistical text processing methods with expert feedback and logic programming to create a dynamic semantic representation of the discipline of philosophy.  ...  Acknowledgments During the preparation of this manuscript, Cameron Buckner and Colin Allen were supported by an award from the National Endowment for the Humanities Division of Preservation and Access.  ... 
doi:10.1145/1816123.1816143 dblp:conf/jcdl/EckertNNBAS10 fatcat:mlsibdp4rbbffpgwuqtiabmf7y

PLEM: a Web 2.0 driven Long Tail aggregator and filter for e‐learning

Mohamed Amine Chatti, Anggraeni, Matthias Jarke, Marcus Specht, Katherine Maillet
2010 International Journal of Web Information Systems  
Based on these concepts, the paper proposes a filtering mechanism that taps the collective intelligence to help learners find quality in the Long Tail, thus overcoming the problem of knowledge overload  ...  Based on these concepts, the paper proposes a filtering mechanism that taps the collective intelligence to help learners find quality in the Long Tail, thus overcoming the problem of knowledge overload  ...  The PLEM filtering module uses a distributed voting mechanism to locate quality learning resources and services as well as appropriate communities and experts, based on a collective decision.  ... 
doi:10.1108/17440081011034466 fatcat:azovfjvk7fhmfbvyb5tykwe6ui

Expert Finding in Community Question-Answering for Post Recommendation

Akshi Kumar, Saurabh Raj Sangwan
2018 International Journal of Engineering & Technology  
metric, PageRankTM for finding experts in the community building a Trust-based system and then uses collaborative filtering to find similar experts based on their level of expertise and their topics of  ...  Once we have the top- k similar experts to a given expert, that expert is recommended with posts to collaborate upon, based on activities done by his top-k neighbor experts.  ...  "Ask the Expert" services on Web has been a recent fad where people seek guidance and opinion from certified professionals to resolve financial, career, relationship and health issues.  ... 
doi:10.14419/ijet.v7i3.4.16764 fatcat:nddfy4f4ezbkhhvavd5sfowiye
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