Personalization of Web Search Using Social Signals ∗
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Metadata for Semantic and Social Applications
etadata is a key aspect of our evolving infrastructure for information management, social computing, and scientific collaboration. DC-2008M will focus on metadata challenges, solutions, and innovation in initiatives and activities underlying semantic and social applications. Metadata is part of the fabric of social computing, which includes the use of wikis, blogs, and tagging for collaboration and participation. Metadata also underlies the development of semantic applications, and the Semantic Web — the representation and integration of multimedia knowledge structures on the basis of semantic models. These two trends flow together in applications such as Wikipedia, where authors collectively create structured information that can be extracted and used to enhance access to and use of information sources. Recent discussion has focused on how existing bibliographic standards can be expressed as Semantic Metadata for Web vocabularies to facilitate the ingration of library and cultural heritage data with other types of data. Harnessing the efforts of content providers and end-users to link, tag, edit, and describe their Semantic and information in interoperable ways (”participatory metadata”) is a key step towards providing knowledge environments that are scalable, self-correcting, and evolvable. Social Applications DC-2008 will explore conceptual and practical issues in the development and deployment of semantic and social applications to meet the needs of specific communities of practice. Edited by Jane Greenberg and Wolfgang Klas DC-2008 -
Análisis De Klout Y Peerindex
HERRAMIENtas WEB para LA MEDICIÓN DE LA INFLUENCIA digital: ANÁLISIS DE KLOUT Y PEERINDEX Javier Serrano-Puche Javier Serrano-Puche, profesor de teoría de la comunicación en la Universidad de Navarra, in- vestiga los fundamentos teóricos de la comunicación, y sobre todo del periodismo, con interés por el ámbito digital 2.0. En especial estudia las redes sociales, tanto por sus implicaciones para la expresión de la identidad personal como en la conformación de la esfera pública. Es autor de La verdad recobrada en la escritura (2011), una biografía intelectual de Leonardo Sciascia. Sobre este escritor siciliano también ha publicado numerosos ensayos en diversas revistas españolas y extranjeras. Universidad de Navarra Departamento de Comunicación Pública Edif. Biblioteca, 31080 Pamplona, España [email protected] Resumen Cada vez más es reconocida la relevancia en el entorno digital de los “líderes de opinión” o usuarios influyentes: aquellos que por medio de su actividad online (publicación de tweets y entradas en blogs, actualización de su estado en las redes sociales, recomendación de lecturas…), cumplen con la función de crear contenidos o de filtrarlos hacia personas sobre las que tienen ascendencia. Por eso han proliferado las herramientas que evalúan la influencia de una persona o marca a través de la monitorización de su uso de los medios sociales. Se analizan las dos más importantes: Klout y PeerIndex. Se explican los parámetros que constituyen la base de sus algoritmos de medición, así como sus carencias. La comprensión de cómo se ejerce y cómo puede medirse la influencia digital es una de las cuestiones más interesantes del fenómeno 2.0. -
The Scoring of America: How Secret Consumer Scores Threaten Your Privacy and Your Future
World Privacy Forum The Scoring of America: How Secret Consumer Scores Threaten Your Privacy and Your Future By Pam Dixon and Robert Gellman April 2, 2014 Brief Summary of Report This report highlights the unexpected problems that arise from new types of predictive consumer scoring, which this report terms consumer scoring. Largely unregulated either by the Fair Credit Reporting Act or the Equal Credit Opportunity Act, new consumer scores use thousands of pieces of information about consumers’ pasts to predict how they will behave in the future. Issues of secrecy, fairness of underlying factors, use of consumer information such as race and ethnicity in predictive scores, accuracy, and the uptake in both use and ubiquity of these scores are key areas of focus. The report includes a roster of the types of consumer data used in predictive consumer scores today, as well as a roster of the consumer scores such as health risk scores, consumer prominence scores, identity and fraud scores, summarized credit statistics, among others. The report reviews the history of the credit score – which was secret for decades until legislation mandated consumer access -- and urges close examination of new consumer scores for fairness and transparency in their factors, methods, and accessibility to consumers. About the Authors Pam Dixon is the founder and Executive Director of the World Privacy Forum. She is the author of eight books, hundreds of articles, and numerous privacy studies, including her landmark Medical Identity Theft study and One Way Mirror Society study. She has testified before Congress on consumer privacy issues as well as before federal agencies. -
A Comparison of Information Seeking Using Search Engines and Social Networks
A Comparison of Information Seeking Using Search Engines and Social Networks Meredith Ringel Morris1, Jaime Teevan1, Katrina Panovich2 1Microsoft Research, Redmond, WA, USA, 2Massachusetts Institute of Technology, Cambridge, MA, USA {merrie, teevan}@microsoft.com, [email protected] Abstract et al. 2009 or Groupization by Morris et al. 2008). Social The Web has become an important information repository; search engines can also be devised using the output of so- often it is the first source a person turns to with an informa- cial tagging systems such as delicious (delicious.com). tion need. One common way to search the Web is with a Social search also encompasses active requests for help search engine. However, it is not always easy for people to from the searcher to other people. Evans and Chi (2008) find what they are looking for with keyword search, and at describe the stages of the search process when people tend times the desired information may not be readily available to interact with others. Morris et al. (2010) surveyed Face- online. An alternative, facilitated by the rise of social media, is to pose a question to one‟s online social network. In this book and Twitter users about situations in which they used paper, we explore the pros and cons of using a social net- a status message to ask questions of their social networks. working tool to fill an information need, as compared with a A well-studied type of social searching behavior is the search engine. We describe a study in which 12 participants posting of a question to a Q&A site (e.g., Harper et al. -
Personalized Search
Personalized Search Fredrik Nygård Carlsen arXiv:1509.02207v1 [cs.IR] 7 Sep 2015 Submission date: September 2015 Supervisor: Trond Aalberg, IDI Norwegian University of Science and Technology Department of Computer Science Abstract As the volume of electronically available information grows, relevant items become harder to find. This work presents an approach to personalizing search results in scientific publication databases. This work focuses on re-ranking search results from existing search engines like Solr or ElasticSearch. This work also includes the development of Obelix, a new recommendation sys- tem used to re-rank search results. The project was proposed and performed at CERN, using the scientific publications available on the CERN Document Server (CDS). This work experiments with re-ranking using offline and online evaluation of users and documents in CDS. The experiments conclude that the personal- ized search result outperform both latest first and word similarity in terms of click position in the search result for global search in CDS. iii Acknowledgments I would first of all like to thank my supervisor, Trond Aalberg, for valuable guidance and support. Furthermore, I would like to thank the people at CERN: Head Librarian at Invenio, Jens Vigen; CDS Developer, Patrick Glauner; Head of CDS, Jean-Yves Le Meur, and Head developer at Invenio, Tibor Simko, for valuable insight and ideas. I would like to thank my friends who supported me through the entire process; Thea Christine Mathisen and Rolf Erik Lekang. iv Contents Acknowledgment . iv List of Figures ix List of Tablesx 1 Introduction3 1.1 Motivation . .3 1.2 Problem Formulation . -
Travelsofadam-Media2013.Pdf
IT’S A BLOG ABOUT Travels of Adam is a top-rated travel website & blog of unique and interesting stories from around the world. The site receives over 50,000 page views per month from 100+ countries. Readers are modern, open-minded and socially responsible individuals with a very strong interest in travel and city destinations. Adam strives to find interesting and unique stories from around the world, whether political tours, art exhibits or destination guides. WHY BLOG? Travels of Adam is consistently ranked among the top 50 travel blogs by numerous online sources and is a featured source of information on the travel industry, specifically “hipster travel.” Advertising on travelsofadam.com, it’s possible to reach a highly commercial demographic. Readers consistently use the site as a source for useful & interesting travel information. Readers have been known to purchase tours, visit recommended travel websites & change travel itineraries based on recommendations published on this website. Travels of Adam.com March 2013 EDITORIAL ART, MUSIC, DESIGN & PHOTOGRAPHY With a background in graphic design, Adam writes about museums, art galleries, exhibits and unusual architecture. Read: David Guetta live in Berlin ALTERNATIVE THINGS TO DO Popular posts include alternative city guides with information on graffiti, interesting tours, local blogs and unique restaurants. Read: Alternative things to do in Tel Aviv HOTEL & ACCOMMODATION REVIEWS POLITICAL & SOCIAL ISSUES With a section devoted entirely to hotel and other accommodation reviews, Adam is able to provide honest feedback to readers on Travel isn’t just about visiting landscapes & famous tourist sites where to stay. Adam is also the curator and founder of a growing but also learning about the local political climate and culture. -
Social Networks Influence Analysis
University of North Florida UNF Digital Commons UNF Graduate Theses and Dissertations Student Scholarship 2017 Social Networks Influence Analysis Doaa Gamal University of North Florida, [email protected] Follow this and additional works at: https://digitalcommons.unf.edu/etd Part of the Computer Sciences Commons Suggested Citation Gamal, Doaa, "Social Networks Influence Analysis" (2017). UNF Graduate Theses and Dissertations. 723. https://digitalcommons.unf.edu/etd/723 This Master's Thesis is brought to you for free and open access by the Student Scholarship at UNF Digital Commons. It has been accepted for inclusion in UNF Graduate Theses and Dissertations by an authorized administrator of UNF Digital Commons. For more information, please contact Digital Projects. © 2017 All Rights Reserved SOCIAL NETWORKS INFLUENCE ANALYSIS by Doaa H. Gamal A thesis submitted to the School of Computing in partial fulfillment of the requirements for the degree of Master of Science in Computing and Information Sciences UNIVERSITY OF NORTH FLORIDA SCHOOL OF COMPUTING Spring, 2017 Copyright (©) 2017 by Doaa H. Gamal All rights reserved. Reproduction in whole or in part in any form requires the prior written permission of Doaa H. Gamal or designated representative. ii This thesis titled “Social Networks Influence Analysis” submitted by Doaa H. Gamal in partial fulfillment of the requirements for the degree of Master of Science in Computing and Information Sciences has been Approved by the thesis committee: Date Dr. Karthikeyan Umapathy Thesis Advisor and Committee Chairperson Dr. Lakshmi Goel Dr. Sandeep Reddivari Accepted for the School of Computing: Dr. Sherif A. Elfayoumy Director of the School Accepted for the College of Computing, Engineering, and Construction: Dr. -
A Federated Search and Social Recommendation Widget
A Federated Search and Social Recommendation Widget Sten Govaerts1 Sandy El Helou2 Erik Duval3 Denis Gillet4 Dept. Computer Science1,3 REACT group2,4 Katholieke Universiteit Leuven Ecole Polytechnique Fed´ erale´ de Lausanne Celestijnenlaan 200A, Heverlee, Belgium 1015 Lausanne, Switzerland fsten.govaerts1, [email protected] fsandy.elhelou2, denis.gillet4g@epfl.ch ABSTRACT are very useful, but their generality can sometimes be an ob- This paper presents a federated search and social recommen- stacle and this can make it difficult to know where to search dation widget. It describes the widget’s interface and the un- for the needed information [2]. Federated searching over derlying social recommendation engine. A preliminary eval- collections of topic-specific repositories can assist with this uation of the widget’s usability and usefulness involving 15 and save time. When the user sends a search request, the subjects is also discussed. The evaluation helped identify us- federated search widget collects relevant resources from dif- ability problems that will be addressed prior to the widget’s ferent social media sites [3], repositories and search engines. usage in a real learning context. Before rendering aggregated results, the widget calls a per- sonalized social recommendation service deemed as crucial Author Keywords in helping users select relevant resources especially in our federated search, social recommendations, widget, Web, per- information overload age [4,5]. The recommendation ser- sonal learning environment (PLE), Pagerank, social media, vice ranks these resources according to their global popu- Web 2.0 larity and most importantly their popularity within the social network of the target user. Ranks are computed by exploiting attention metadata and social networks in the widget. -
Unicorn: a System for Searching the Social Graph
Unicorn: A System for Searching the Social Graph Michael Curtiss, Iain Becker, Tudor Bosman, Sergey Doroshenko, Lucian Grijincu, Tom Jackson, Sandhya Kunnatur, Soren Lassen, Philip Pronin, Sriram Sankar, Guanghao Shen, Gintaras Woss, Chao Yang, Ning Zhang Facebook, Inc. ABSTRACT rative of the evolution of Unicorn's architecture, as well as Unicorn is an online, in-memory social graph-aware index- documentation for the major features and components of ing system designed to search trillions of edges between tens the system. of billions of users and entities on thousands of commodity To the best of our knowledge, no other online graph re- servers. Unicorn is based on standard concepts in informa- trieval system has ever been built with the scale of Unicorn tion retrieval, but it includes features to promote results in terms of both data volume and query volume. The sys- with good social proximity. It also supports queries that re- tem serves tens of billions of nodes and trillions of edges quire multiple round-trips to leaves in order to retrieve ob- at scale while accounting for per-edge privacy, and it must jects that are more than one edge away from source nodes. also support realtime updates for all edges and nodes while Unicorn is designed to answer billions of queries per day at serving billions of daily queries at low latencies. latencies in the hundreds of milliseconds, and it serves as an This paper includes three main contributions: infrastructural building block for Facebook's Graph Search • We describe how we applied common information re- product. In this paper, we describe the data model and trieval architectural concepts to the domain of the so- query language supported by Unicorn. -
Using Facebook Metrics to Measure Student Engagement in Moodle
IJODeL, Vol. 2, No. 2, (December 2016) Using Facebook Metrics to Measure Student Engagement in Moodle Leonardo Magno Senior Editor, Publishing Team, Asian Development Bank, [email protected] Abstract Facebook uses engagement rates as a metric for social media managers and marketers to measure how efectively a page, a post, a comment, a brand, or a topic is able to engage the target audience. Studies have proposed the use of these metrics for other types of online measurements in applications and industries other than social media. This concept paper proposes the use of a modifed Facebook engagement rate formula to (i) measure students’ engagement with forum posts using virtual learning environments such as Moodle and (ii) get data from students regarding which topics or posts engage them more in the learning process. While virtual learning environments have their own logs and learning analytics software, and studies have explored the use of Facebook as a discrete and supplementary platform to traditional learning management systems, this paper flls the research gap by applying Facebook’s engagement rate formula to Moodle itself. Applying an existing social media audience engagement formula to an online course may provide instructors and educational institutions valuable feedback on what types of posts, comments, or topics make students interact and engage more in online learning sessions. Such an exercise may lead to new metrics which distance learning institutions could use to calibrate their content with the objective of improving students’ interaction and engagement with instructors, fellow students, and the online course in general. Keywords: Facebook, Moodle, social media, engagement rate, learning analytics Introduction Virtual learning environments like Moodle and Blackboard—sometimes referred to as online course platforms or learning management systems—come with their own analytics and reporting tools either as built-in features or as plug-in software. -
The Top 10 Alternative Search Engines (ASE) - Within Selected Categories Ranked by Webometric Indicators
The Top 10 Alternative search Engines (ASE) - within Selected Categories Ranked by Webometric Indicators Bernd Markscheff el Bastian Eine Within the scientifi c fi eld of webometrics many research objects had been analyzed and compared with the help of webometric indicators (e.g., the performance of a whole country, a research group or an indi- vidual). This paper presents a ranking of ASEs which is based on webo- metric indicators. As search engines have become an essential tool for searching for information on the web many alternative search services have specialized in fi nding topic- or format-specifi c search results. By creating a ranking of these ASEs within selected categories we present an overview of the ASEs which are currently available. Through webo- metric indicators the ASEs were compared and the most popular ASEs of the respective categories determined. Keywords: Search engines, Webometric indicators Bernd Markscheff el Chair of Information and 1. Introduction Knowledge Management Technische Universität While searching for information on the web, search en- Ilmenau gines can assist the user to fi nd satisfying results. Although, P.O. Box 100565 just a few dominate the search engine market a large num- 98684 Ilmenau ber of diff erent web search services and tools exist (Maaβ Germany et al., [1]). Beside the well known universal search engines bernd.markscheff el@ like Google, Yahoo and Bing several ASEs are specialized tuilmenau.de in providing options to search for special document types, specifi c topics or time-sensitive information (Gelernter [2]; Bastian Eine Consultant for Search Engine Originally presented at the 7th International Conference on Webometrics, Optimization and Online Informetrics and Scientometrics (WIS) and 12th COLLNET Meeting, Marketing September 20–23, 2011, Istanbul Bilgi University, Istanbul, Turkey. -
In Search of the Climate Change Filter Bubble
In Search of the Climate Change Filter Bubble A Content-based Method for Studying Ideological Segregation in Google Genot, Emmanuel; Jiborn, Magnus; Hahn, Ulrike; Volzhanin, Igor; Olsson, Erik J; von Gerber, Ylva 2020 Document Version: Early version, also known as pre-print Link to publication Citation for published version (APA): Genot, E., Jiborn, M., Hahn, U., Volzhanin, I., Olsson, E. J., & von Gerber, Y. (2020). In Search of the Climate Change Filter Bubble: A Content-based Method for Studying Ideological Segregation in Google. Manuscript submitted for publication. Total number of authors: 6 Creative Commons License: Other General rights Unless other specific re-use rights are stated the following general rights apply: Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal Read more about Creative commons licenses: https://creativecommons.org/licenses/ Take down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. LUND UNIVERSITY PO Box 117 221 00 Lund +46 46-222 00 00 In Search of the Climate Change Filter Bubble: A Content-based Method for Studying Ideological Segregation in Google Emmanuel Genot1, Magnus Jiborn2, Ulrike Hahn3, Igor Volzhanin4, Erik J.