Spatio Temporal Recommendation In Social Media

Author : Hongzhi Yin,Bin Cui
Publisher : Springer
Page : 114 pages
File Size : 48,7 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.

Author : John A
Publisher : Springer Nature
Page : 253 pages
File Size : 45,5 Mb
Release : 2024-06-27
Category : Electronic
ISBN : 9789819996513

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Spatiotemporal Data Analytics and Modeling by John A Pdf

Author : Junhu Wang,Gao Cong,Jinjun Chen,Jianzhong Qi
Publisher : Springer
Page : 360 pages
File Size : 49,9 Mb
Release : 2018-05-17
Category : Computers
ISBN : 9783319920139

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Databases Theory and Applications by Junhu Wang,Gao Cong,Jinjun Chen,Jianzhong Qi Pdf

This book constitutes the refereed proceedings of the 29th Australasian Database Conference, ADC 2018, held in Gold Coast, QLD, Australia, in May 2018. The 23 full papers plus 6 short papers presented together with 3 demo papers were carefully reviewed and selected from 53 submissions. The Australasian Database Conference is an annual international forum for sharing the latest research advancements and novel applications of database systems, data-driven applications, and data analytics between researchers and practitioners from around the globe, particularly Australia and New Zealand.

Author : G. Ranganathan,Robert Bestak,Ram Palanisamy,Álvaro Rocha
Publisher : Springer Nature
Page : 768 pages
File Size : 50,8 Mb
Release : 2022-01-01
Category : Technology & Engineering
ISBN : 9789811656408

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Pervasive Computing and Social Networking by G. Ranganathan,Robert Bestak,Ram Palanisamy,Álvaro Rocha Pdf

The book features original papers from International Conference on Pervasive Computing and Social Networking (ICPCSN 2021), organized by NSIT, Salem, India during 19 – 20 march 2021. It covers research works on conceptual, constructive, empirical, theoretical and practical implementations of pervasive computing and social networking methods for developing more novel ideas and innovations in the growing field of information and communication technologies.

Author : Jian Pei,Yannis Manolopoulos,Shazia Sadiq,Jianxin Li
Publisher : Springer
Page : 952 pages
File Size : 47,9 Mb
Release : 2018-05-16
Category : Computers
ISBN : 9783319914527

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Database Systems for Advanced Applications by Jian Pei,Yannis Manolopoulos,Shazia Sadiq,Jianxin Li Pdf

This two-volume set LNCS 10827 and LNCS 10828 constitutes the refereed proceedings of the 23rd International Conference on Database Systems for Advanced Applications, DASFAA 2018, held in Gold Coast, QLD, Australia, in May 2018. The 83 full papers, 21 short papers, 6 industry papers, and 8 demo papers were carefully selected from a total of 360 submissions. The papers are organized around the following topics: network embedding; recommendation; graph and network processing; social network analytics; sequence and temporal data processing; trajectory and streaming data; RDF and knowledge graphs; text and data mining; medical data mining; security and privacy; search and information retrieval; query processing and optimizations; data quality and crowdsourcing; learning models; multimedia data processing; and distributed computing.

Author : Lei Chen,Christian S. Jensen,Cyrus Shahabi,Xiaochun Yang,Xiang Lian
Publisher : Springer
Page : 662 pages
File Size : 45,6 Mb
Release : 2017-08-01
Category : Computers
ISBN : 9783319635798

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Web and Big Data by Lei Chen,Christian S. Jensen,Cyrus Shahabi,Xiaochun Yang,Xiang Lian Pdf

This two –volume set, LNCS 10366 and 10367, constitutes the thoroughly refereed proceedings of the First International Joint Conference, APWeb-WAIM 2017, held in Beijing, China in July 2017. The 44 full papers presented together with 32 short papers and 10 demonstrations papers were carefully reviewed and selected from 240 submissions. The papers are organized around the following topics: spatial data processing and data quality; graph data processing; data mining, privacy and semantic analysis; text and log data management; social networks; data mining and data streams; query processing; topic modeling; machine learning; recommendation systems; distributed data processing and applications; machine learning and optimization.

Author : Feifei Li,Kyuseok Shim,Kai Zheng,Guanfeng Liu
Publisher : Springer
Page : 601 pages
File Size : 50,8 Mb
Release : 2016-09-17
Category : Computers
ISBN : 9783319458175

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Web Technologies and Applications by Feifei Li,Kyuseok Shim,Kai Zheng,Guanfeng Liu Pdf

This LNCS double volume LNCS 9931-9932 constitutes the refereed proceedings of the 18th Asia-Pacific Conference APWeb 2016 held in Suzhou, China, in September 2016. The 79 full papers and presented together with 24 short papers and 17 demo papers were carefully reviewed and selected from 215 submissions. the focus of the conference was on following subjects: Spatio-temporal, Textual and Multimedia Data Management Social Media Data Analysis Modelling and Learning with Big Data Streaming and Real-time Data Analysis Recommendation System Data Quality and Privacy Query Optimization and Scalable Data Processing

Author : Gao Cong,Wen-Chih Peng,Wei Emma Zhang,Chengliang Li,Aixin Sun
Publisher : Springer
Page : 879 pages
File Size : 49,9 Mb
Release : 2017-10-30
Category : Computers
ISBN : 9783319691794

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Advanced Data Mining and Applications by Gao Cong,Wen-Chih Peng,Wei Emma Zhang,Chengliang Li,Aixin Sun Pdf

This book constitutes the refereed proceedings of the 13th International Conference on Advanced Data Mining and Applications, ADMA 2017, held in Singapore in November 2017. The 20 full and 38 short papers presented in this volume were carefully reviewed and selected from 118 submissions. The papers were organized in topical sections named: database and distributed machine learning; recommender system; social network and social media; machine learning; classification and clustering methods; behavior modeling and user profiling; bioinformatics and medical data analysis; spatio-temporal data; natural language processing and text mining; data mining applications; applications; and demos.

Author : A.N. Krishna,K.C. Srikantaiah,C Naveena
Publisher : Springer
Page : 700 pages
File Size : 47,9 Mb
Release : 2018-09-14
Category : Technology & Engineering
ISBN : 9789811087974

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Integrated Intelligent Computing, Communication and Security by A.N. Krishna,K.C. Srikantaiah,C Naveena Pdf

This book highlights the emerging field of intelligent computing and developing smart systems. It includes chapters discussing the outcome of challenging research related to distributed computing, smart machines and their security related research, and also covers next-generation communication techniques and the networking technologies that have the potential to build the future communication infrastructure. Bringing together computing, communications and other aspects of intelligent and smart computing, it contributes to developing a roadmap for future research on intelligent systems.

Author : Nazli Goharian
Publisher : Springer Nature
Page : 514 pages
File Size : 51,8 Mb
Release : 2024-06-27
Category : Electronic
ISBN : 9783031560279

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Advances in Information Retrieval by Nazli Goharian Pdf

Author : Christophe Debruyne,Hervé Panetto,Robert Meersman,Tharam Dillon,eva Kühn,Declan O'Sullivan,Claudio Agostino Ardagna
Publisher : Springer
Page : 977 pages
File Size : 46,9 Mb
Release : 2016-10-17
Category : Computers
ISBN : 9783319484723

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On the Move to Meaningful Internet Systems: OTM 2016 Conferences by Christophe Debruyne,Hervé Panetto,Robert Meersman,Tharam Dillon,eva Kühn,Declan O'Sullivan,Claudio Agostino Ardagna Pdf

This volume constitutes the refereed proceedings of the Confederated International Conferences: Cooperative Information Systems, CoopIS 2016, Ontologies, Databases, and Applications of Semantics, ODBASE 2016, and Cloud and Trusted Computing, C&TC, held as part of OTM 2016 in October 2016 in Rhodes, Greece. The 45 full papers presented together with 16 short papers were carefully reviewed and selected from 133 submissions. The OTM program every year covers data and Web semantics, distributed objects, Web services, databases, information systems, enterprise workow and collaboration, ubiquity, interoperability, mobility,grid and high-performance computing.

Author : Jinho Kim,Kyuseok Shim,Longbing Cao,Jae-Gil Lee,Xuemin Lin,Yang-Sae Moon
Publisher : Springer
Page : 876 pages
File Size : 50,5 Mb
Release : 2017-04-25
Category : Computers
ISBN : 9783319575292

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Advances in Knowledge Discovery and Data Mining by Jinho Kim,Kyuseok Shim,Longbing Cao,Jae-Gil Lee,Xuemin Lin,Yang-Sae Moon Pdf

This two-volume set, LNAI 10234 and 10235, constitutes the thoroughly refereed proceedings of the 21st Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2017, held in Jeju, South Korea, in May 2017. The 129 full papers were carefully reviewed and selected from 458 submissions. They are organized in topical sections named: classification and deep learning; social network and graph mining; privacy-preserving mining and security/risk applications; spatio-temporal and sequential data mining; clustering and anomaly detection; recommender system; feature selection; text and opinion mining; clustering and matrix factorization; dynamic, stream data mining; novel models and algorithms; behavioral data mining; graph clustering and community detection; dimensionality reduction.

Author : Michael Maximilien,Antonio Vallecillo,Jianmin Wang,Marc Oriol
Publisher : Springer
Page : 752 pages
File Size : 42,9 Mb
Release : 2017-11-03
Category : Computers
ISBN : 9783319690353

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Service-Oriented Computing by Michael Maximilien,Antonio Vallecillo,Jianmin Wang,Marc Oriol Pdf

This book constitutes the proceedings of the 15th International Conference on Service-Oriented Computing, ICSOC 2017, held in malaga, Spain, in November 2017. The 33 full papers presented together with 20 short papers and 4 keynotes in this volume were carefully reviewed and selected from 179 submissions. The selected papers cover a wide variety of important topics in the area of service-oriented computing, including foundational issues on service discovery and service-systems design, business process modelling and management, economics of service-systems engineering, as well as services on the cloud, social networks, the Internet of Things (IoT), and data analytics. The chapter "Risk-based Proactive Process Adaptation" is available open access under a CC BY 4.0 license via link.springer.com.

Author : Vivek Kale
Publisher : CRC Press
Page : 380 pages
File Size : 47,6 Mb
Release : 2017-10-25
Category : Business & Economics
ISBN : 9781498751292

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Creating Smart Enterprises by Vivek Kale Pdf

"Vivek Kale's Creating Smart Enterprises goes smack-dab at the heart of harnessing technology for competing in today's chaotic digital era. Actually, for him, it's SMACT-dab: SMACT (Social media, Mobile, Analytics and big data, Cloud computing, and internet of Things) technologies. This book is required reading for those that want to stay relevant and win, and optional for those that don't." —Peter Fingar, Author of Cognitive Computing and business technology consultant Creating Smart Enterprises unravels the mystery of social media, mobile, analytics and big data, cloud, and Internet of Things (SMACT) computing and explains how it can transform the operating context of business enterprises. It provides a clear understanding of what SMACT really means, what it can do for smart enterprises, and application areas where it is practical to use them. All IT professionals who are involved with any aspect of a SMACT computing project will profit by using this book as a roadmap to make a more meaningful contribution to the success of their computing initiatives. This pragmatic book: Introduces the VUCA (volatility, uncertainty, complexity, and ambiguity) business ecosystem confronted by the businesses today. Describes the challenges of defining business and IT strategies and of aligning them as well as their impact on enterprise governance. Provides a very wide treatment of the various components of SMACT computing, including the Internet of Things (IoT) and its constituting technologies like RFID, wireless networks, sensors, and wireless sensor networks (WSNs). This book addresses the key differentiator of SMACT computing environments and solutions that combine the power of an elastic infrastructure with analytics. The SMACT environment is cloud-based and inherently mobile. Information management processes can analyze and discern recurring patterns in colossal pools of operational and transactional data. Analytics, big data, and IoT computing leverage and transform these data patterns to help create successful, smart enterprises.

Author : Huiji Gao,Huan Liu
Publisher : Springer Nature
Page : 99 pages
File Size : 46,7 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.