Recommender Systems For Location Based Social Networks

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Recommender Systems for Location-based Social Networks

Panagiotis Symeonidis,Dimitrios Ntempos,Yannis Manolopoulos
Recommender Systems for Location based Social Networks Book PDF

Author : Panagiotis Symeonidis,Dimitrios Ntempos,Yannis Manolopoulos
Publisher : Springer Science & Business Media
Page : 109 pages
File Size : 52,9 Mb
Release : 2014-02-08
Category : Computers
ISBN : 9781493902866

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Recommender Systems for Location-based Social Networks by Panagiotis Symeonidis,Dimitrios Ntempos,Yannis Manolopoulos Pdf

Online social networks collect information from users' social contacts and their daily interactions (co-tagging of photos, co-rating of products etc.) to provide them with recommendations of new products or friends. Lately, technological progressions in mobile devices (i.e. smart phones) enabled the incorporation of geo-location data in the traditional web-based online social networks, bringing the new era of Social and Mobile Web. The goal of this book is to bring together important research in a new family of recommender systems aimed at serving Location-based Social Networks (LBSNs). The chapters introduce a wide variety of recent approaches, from the most basic to the state-of-the-art, for providing recommendations in LBSNs. The book is organized into three parts. Part 1 provides introductory material on recommender systems, online social networks and LBSNs. Part 2 presents a wide variety of recommendation algorithms, ranging from basic to cutting edge, as well as a comparison of the characteristics of these recommender systems. Part 3 provides a step-by-step case study on the technical aspects of deploying and evaluating a real-world LBSN, which provides location, activity and friend recommendations. The material covered in the book is intended for graduate students, teachers, researchers, and practitioners in the areas of web data mining, information retrieval, and machine learning.

Social Network-Based Recommender Systems

Daniel Schall
Social Network Based Recommender Systems Book PDF

Author : Daniel Schall
Publisher : Springer
Page : 126 pages
File Size : 52,5 Mb
Release : 2015-09-23
Category : Computers
ISBN : 9783319227351

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Social Network-Based Recommender Systems by Daniel Schall Pdf

This book introduces novel techniques and algorithms necessary to support the formation of social networks. Concepts such as link prediction, graph patterns, recommendation systems based on user reputation, strategic partner selection, collaborative systems and network formation based on ‘social brokers’ are presented. Chapters cover a wide range of models and algorithms, including graph models and a personalized PageRank model. Extensive experiments and scenarios using real world datasets from GitHub, Facebook, Twitter, Google Plus and the European Union ICT research collaborations serve to enhance reader understanding of the material with clear applications. Each chapter concludes with an analysis and detailed summary. Social Network-Based Recommender Systems is designed as a reference for professionals and researchers working in social network analysis and companies working on recommender systems. Advanced-level students studying computer science, statistics or mathematics will also find this books useful as a secondary text.

Point-of-Interest Recommendation in Location-Based Social Networks

Shenglin Zhao,Michael R. Lyu,Irwin King
Point of Interest Recommendation in Location Based Social Networks Book PDF

Author : Shenglin Zhao,Michael R. Lyu,Irwin King
Publisher : Springer
Page : 101 pages
File Size : 52,5 Mb
Release : 2018-07-13
Category : Computers
ISBN : 9789811313493

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Point-of-Interest Recommendation in Location-Based Social Networks by Shenglin Zhao,Michael R. Lyu,Irwin King Pdf

This book systematically introduces Point-of-interest (POI) recommendations in Location-based Social Networks (LBSNs). Starting with a review of the advances in this area, the book then analyzes user mobility in LBSNs from geographical and temporal perspectives. Further, it demonstrates how to build a state-of-the-art POI recommendation system by incorporating the user behavior analysis. Lastly, the book discusses future research directions in this area. This book is intended for professionals involved in POI recommendation and graduate students working on problems related to location-based services. It is assumed that readers have a basic knowledge of mathematics, as well as some background in recommendation systems.

Encyclopedia of GIS

Shashi Shekhar,Hui Xiong
Encyclopedia of GIS Book PDF

Author : Shashi Shekhar,Hui Xiong
Publisher : Springer Science & Business Media
Page : 1392 pages
File Size : 55,5 Mb
Release : 2007-12-12
Category : Computers
ISBN : 9780387308586

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Encyclopedia of GIS by Shashi Shekhar,Hui Xiong Pdf

The Encyclopedia of GIS provides a comprehensive and authoritative guide, contributed by experts and peer-reviewed for accuracy, and alphabetically arranged for convenient access. The entries explain key software and processes used by geographers and computational scientists. Major overviews are provided for nearly 200 topics: Geoinformatics, Spatial Cognition, and Location-Based Services and more. Shorter entries define specific terms and concepts. The reference will be published as a print volume with abundant black and white art, and simultaneously as an XML online reference with hyperlinked citations, cross-references, four-color art, links to web-based maps, and other interactive features.

Mining Human Mobility in Location-Based Social Networks

Huiji Gao,Huan Liu
Mining Human Mobility in Location Based Social Networks Book PDF

Author : Huiji Gao,Huan Liu
Publisher : Springer Nature
Page : 99 pages
File Size : 41,8 Mb
Release : 2022-06-01
Category : Computers
ISBN : 9783031019081

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Mining Human Mobility in Location-Based Social Networks by Huiji Gao,Huan Liu Pdf

In recent years, there has been a rapid growth of location-based social networking services, such as Foursquare and Facebook Places, which have attracted an increasing number of users and greatly enriched their urban experience. Typical location-based social networking sites allow a user to "check in" at a real-world POI (point of interest, e.g., a hotel, restaurant, theater, etc.), leave tips toward the POI, and share the check-in with their online friends. The check-in action bridges the gap between real world and online social networks, resulting in a new type of social networks, namely location-based social networks (LBSNs). Compared to traditional GPS data, location-based social networks data contains unique properties with abundant heterogeneous information to reveal human mobility, i.e., "when and where a user (who) has been to for what," corresponding to an unprecedented opportunity to better understand human mobility from spatial, temporal, social, and content aspects. The mining and understanding of human mobility can further lead to effective approaches to improve current location-based services from mobile marketing to recommender systems, providing users more convenient life experience than before. This book takes a data mining perspective to offer an overview of studying human mobility in location-based social networks and illuminate a wide range of related computational tasks. It introduces basic concepts, elaborates associated challenges, reviews state-of-the-art algorithms with illustrative examples and real-world LBSN datasets, and discusses effective evaluation methods in mining human mobility. In particular, we illustrate unique characteristics and research opportunities of LBSN data, present representative tasks of mining human mobility on location-based social networks, including capturing user mobility patterns to understand when and where a user commonly goes (location prediction), and exploiting user preferences and location profiles to investigate where and when a user wants to explore (location recommendation), along with studying a user's check-in activity in terms of why a user goes to a certain location.

Advances in Intelligent Web Mastering

Katarzyna M. Wegrzyn-Wolska,Piotr S. Szczepaniak
Advances in Intelligent Web Mastering Book PDF

Author : Katarzyna M. Wegrzyn-Wolska,Piotr S. Szczepaniak
Publisher : Springer Science & Business Media
Page : 413 pages
File Size : 44,6 Mb
Release : 2007-06-15
Category : Computers
ISBN : 9783540725749

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Advances in Intelligent Web Mastering by Katarzyna M. Wegrzyn-Wolska,Piotr S. Szczepaniak Pdf

This book contains papers presented at the 5th Atlantic Web Intelligence Conference, AWIC’2007, held in Fontainbleau, France, in June 2007, and organized by Esigetel, Technical University of Lodz, and Polish Academy of Sciences. It includes reports from the front of diverse fields of the Web, including application of artificial intelligence, design, information retrieval and interpretation, user profiling, security, and engineering.

Recommendation and Search in Social Networks

Özgür Ulusoy,Abdullah Uz Tansel,Erol Arkun
Recommendation and Search in Social Networks Book PDF

Author : Özgür Ulusoy,Abdullah Uz Tansel,Erol Arkun
Publisher : Springer
Page : 289 pages
File Size : 51,7 Mb
Release : 2015-02-12
Category : Computers
ISBN : 9783319143798

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Recommendation and Search in Social Networks by Özgür Ulusoy,Abdullah Uz Tansel,Erol Arkun Pdf

This edited volume offers a clear in-depth overview of research covering a variety of issues in social search and recommendation systems. Within the broader context of social network analysis it focuses on important and up-coming topics such as real-time event data collection, frequent-sharing pattern mining, improvement of computer-mediated communication, social tagging information, search system personalization, new detection mechanisms for the identification of online user groups, and many more. The twelve contributed chapters are extended versions of conference papers as well as completely new invited chapters in the field of social search and recommendation systems. This first-of-its kind survey of current methods will be of interest to researchers from both academia and industry working in the field of social networks.

Data Mining for Social Network Data

Nasrullah Memon,Jennifer Jie Xu,David L. Hicks,Hsinchun Chen
Data Mining for Social Network Data Book PDF

Author : Nasrullah Memon,Jennifer Jie Xu,David L. Hicks,Hsinchun Chen
Publisher : Springer Science & Business Media
Page : 216 pages
File Size : 52,7 Mb
Release : 2010-06-10
Category : Business & Economics
ISBN : 1441962875

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Data Mining for Social Network Data by Nasrullah Memon,Jennifer Jie Xu,David L. Hicks,Hsinchun Chen Pdf

Driven by counter-terrorism efforts, marketing analysis and an explosion in online social networking in recent years, data mining has moved to the forefront of information science. This proposed Special Issue on Data Mining for Social Network Data will present a broad range of recent studies in social networking analysis. It will focus on emerging trends and needs in discovery and analysis of communities, solitary and social activities, activities in open for a and commercial sites as well. It will also look at network modeling, infrastructure construction, dynamic growth and evolution pattern discovery using machine learning approaches and multi-agent based simulations. Editors are three rising stars in world of data mining, knowledge discovery, social network analysis, and information infrastructures, and are anchored by Springer author/editor Hsinchun Chen (Terrorism Informatics; Medical Informatics; Digital Government), who is one of the most prominent intelligence analysis and data mining experts in the world.

Computing with Spatial Trajectories

Yu Zheng,Xiaofang Zhou
Computing with Spatial Trajectories Book PDF

Author : Yu Zheng,Xiaofang Zhou
Publisher : Springer Science & Business Media
Page : 308 pages
File Size : 54,5 Mb
Release : 2011-10-02
Category : Computers
ISBN : 9781461416296

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Computing with Spatial Trajectories by Yu Zheng,Xiaofang Zhou Pdf

Spatial trajectories have been bringing the unprecedented wealth to a variety of research communities. A spatial trajectory records the paths of a variety of moving objects, such as people who log their travel routes with GPS trajectories. The field of moving objects related research has become extremely active within the last few years, especially with all major database and data mining conferences and journals. Computing with Spatial Trajectories introduces the algorithms, technologies, and systems used to process, manage and understand existing spatial trajectories for different applications. This book also presents an overview on both fundamentals and the state-of-the-art research inspired by spatial trajectory data, as well as a special focus on trajectory pattern mining, spatio-temporal data mining and location-based social networks. Each chapter provides readers with a tutorial-style introduction to one important aspect of location trajectory computing, case studies and many valuable references to other relevant research work. Computing with Spatial Trajectories is designed as a reference or secondary text book for advanced-level students and researchers mainly focused on computer science and geography. Professionals working on spatial trajectory computing will also find this book very useful.

Social Computing and Social Media

Gabriele Meiselwitz
Social Computing and Social Media Book PDF

Author : Gabriele Meiselwitz
Publisher : Springer
Page : 474 pages
File Size : 45,8 Mb
Release : 2016-07-04
Category : Computers
ISBN : 9783319399102

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Social Computing and Social Media by Gabriele Meiselwitz Pdf

This book constitutes the refereed proceedings of the 8th International Conference on Social Computing and Social Media, SCSM 2016, held as part of the 18th International Conference on Human-Computer Interaction, HCII 2016, held in Toronto, ON, Canada, in July 2016. The total of 1287 papers and 186 posters presented at the HCII 2016 conferences were carefully reviewed and selected from 4354 submissions. The papers thoroughly cover the entire field of Human-Computer Interaction, addressing major advances in knowledge and effective use of computers in a variety of application areas. The 43 contributions included in the SCSM 2016 proceedings were organized in the following topical sections: designing and developing social media; users behaviour in social media; social media, policy, politics and engagement; social network analysis; social media in learning and collaboration; and enterprise social media.

Mobile Social Networking

Alvin Chin,Daqing Zhang
Mobile Social Networking Book PDF

Author : Alvin Chin,Daqing Zhang
Publisher : Springer Science & Business Media
Page : 243 pages
File Size : 46,9 Mb
Release : 2013-10-30
Category : Science
ISBN : 9781461485797

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Mobile Social Networking by Alvin Chin,Daqing Zhang Pdf

The use of contextually aware, pervasive, distributed computing, and sensor networks to bridge the gap between the physical and online worlds is the basis of mobile social networking. This book shows how applications can be built to provide mobile social networking, the research issues that need to be solved to enable this vision, and how mobile social networking can be used to provide computational intelligence that will improve daily life. With contributions from the fields of sociology, computer science, human-computer interaction and design, this book demonstrates how mobile social networks can be inferred from users' physical interactions both with the environment and with others, as well as how users behave around them and how their behavior differs on mobile vs. traditional online social networks.

Putting Social Media and Networking Data in Practice for Education, Planning, Prediction and Recommendation

Mehmet Kaya,Şuayip Birinci,Jalal Kawash,Reda Alhajj
Putting Social Media and Networking Data in Practice for Education Planning Prediction and Recommendation Book PDF

Author : Mehmet Kaya,Şuayip Birinci,Jalal Kawash,Reda Alhajj
Publisher : Springer Nature
Page : 245 pages
File Size : 46,6 Mb
Release : 2019-12-27
Category : Science
ISBN : 9783030336981

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Putting Social Media and Networking Data in Practice for Education, Planning, Prediction and Recommendation by Mehmet Kaya,Şuayip Birinci,Jalal Kawash,Reda Alhajj Pdf

This book focusses on recommendation, behavior, and anomaly, among of social media analysis. First, recommendation is vital for a variety of applications to narrow down the search space and to better guide people towards educated and personalized alternatives. In this context, the book covers supporting students, food venue, friend and paper recommendation to demonstrate the power of social media data analysis. Secondly, this book treats behavior analysis and understanding as important for a variety of applications, including inspiring behavior from discussion platforms, determining user choices, detecting following patterns, crowd behavior modeling for emergency evacuation, tracking community structure, etc. Third, fraud and anomaly detection have been well tackled based on social media analysis. This has is illustrated in this book by identifying anomalous nodes in a network, chasing undetected fraud processes, discovering hidden knowledge, detecting clickbait, etc. With this wide coverage, the book forms a good source for practitioners and researchers, including instructors and students.

Graph-Based Social Media Analysis

Ioannis Pitas
Graph Based Social Media Analysis Book PDF

Author : Ioannis Pitas
Publisher : CRC Press
Page : 436 pages
File Size : 42,9 Mb
Release : 2016-04-19
Category : Computers
ISBN : 9781498719056

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Graph-Based Social Media Analysis by Ioannis Pitas Pdf

Focused on the mathematical foundations of social media analysis, Graph-Based Social Media Analysis provides a comprehensive introduction to the use of graph analysis in the study of social and digital media. It addresses an important scientific and technological challenge, namely the confluence of graph analysis and network theory with linear alge

Spatio-Temporal Recommendation in Social Media

Hongzhi Yin,Bin Cui
Spatio Temporal Recommendation in Social Media Book PDF

Author : Hongzhi Yin,Bin Cui
Publisher : Springer
Page : 114 pages
File Size : 49,9 Mb
Release : 2016-05-19
Category : Computers
ISBN : 9789811007484

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Spatio-Temporal Recommendation in Social Media by Hongzhi Yin,Bin Cui Pdf

This book covers the major fundamentals of and the latest research on next-generation spatio-temporal recommendation systems in social media. It begins by describing the emerging characteristics of social media in the era of mobile internet, and explores the limitations to be found in current recommender techniques. The book subsequently presents a series of latent-class user models to simulate users’ behaviors in decision-making processes, which effectively overcome the challenges arising from temporal dynamics of users’ behaviors, user interest drift over geographical regions, data sparsity and cold start. Based on these well designed user models, the book develops effective multi-dimensional index structures such as Metric-Tree, and proposes efficient top-k retrieval algorithms to accelerate the process of online recommendation and support real-time recommendation. In addition, it offers methodologies and techniques for evaluating both the effectiveness and efficiency of spatio-temporal recommendation systems in social media. The book will appeal to a broad readership, from researchers and developers to undergraduate and graduate students.

Recommender System with Machine Learning and Artificial Intelligence

Sachi Nandan Mohanty,Jyotir Moy Chatterjee,Sarika Jain,Ahmed A. Elngar,Priya Gupta
Recommender System with Machine Learning and Artificial Intelligence Book PDF

Author : Sachi Nandan Mohanty,Jyotir Moy Chatterjee,Sarika Jain,Ahmed A. Elngar,Priya Gupta
Publisher : John Wiley & Sons
Page : 448 pages
File Size : 48,7 Mb
Release : 2020-06-09
Category : Computers
ISBN : 9781119711599

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Recommender System with Machine Learning and Artificial Intelligence by Sachi Nandan Mohanty,Jyotir Moy Chatterjee,Sarika Jain,Ahmed A. Elngar,Priya Gupta Pdf

This book is a multi-disciplinary effort that involves world-wide experts from diverse fields, such as artificial intelligence, human computer interaction, information technology, data mining, statistics, adaptive user interfaces, decision support systems, marketing, and consumer behavior. It comprehensively covers the topic of recommender systems, which provide personalized recommendations of items or services to the new users based on their past behavior. Recommender system methods have been adapted to diverse applications including social networking, movie recommendation, query log mining, news recommendations, and computational advertising. This book synthesizes both fundamental and advanced topics of a research area that has now reached maturity. Recommendations in agricultural or healthcare domains and contexts, the context of a recommendation can be viewed as important side information that affects the recommendation goals. Different types of context such as temporal data, spatial data, social data, tagging data, and trustworthiness are explored. This book illustrates how this technology can support the user in decision-making, planning and purchasing processes in agricultural & healthcare sectors.