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Recommender Systems and the Social Web [chapter]

Amit Tiroshi, Tsvi Kuflik, Judy Kay, Bob Kummerfeld
2012 Lecture Notes in Computer Science  
The variety of social web services, each with its unique user model characteristics, could aid bootstrapping recommender systems in different ways.  ...  Recent developments have brought a new source for bootstrapping recommender systems: social web services.  ...  Figure 1 illustrates the leading social web services and their possible contribution to the user models of classical recommender systems.  ... 
doi:10.1007/978-3-642-28509-7_7 fatcat:zwwcfohadnauthnxdafspaxpgy

Improving recommendation accuracy based on item-specific tag preferences [chapter]

Fatih Gedikli
2013 Recommender Systems and the Social Web  
In recent years, different proposals have been made to exploit Social Web tagging information to build more effective recommender systems.  ...  We therefore propose new schemes to infer and exploit context-specific tag preferences in the recommendation process.  ...  RELATED WORK AND DISCUSSION In recent years, many researchers have recognized the value of Social Web tagging information for recommender systems and for example use tagging data as an additional source  ... 
doi:10.1007/978-3-658-01948-8_4 fatcat:by5dmcwndzaizfrtr2bzqpezmm

A Survey on Linked Data and the Social Web as Facilitators for TEL Recommender Systems [chapter]

Stefan Dietze, Hendrik Drachsler, Daniela Giordano
2014 Recommender Systems for Technology Enhanced Learning  
The potential of LD to facilitate TEL recommender systems research and practice is discussed in this paper.  ...  So far the outcomes of different recommender systems and personalisation approaches in the educational domain are hardly comparable due to the diversity of algorithms, learner's models, datasets and evaluation  ...  Acknowledgments This work is partly funded by the European Union under FP7 Grant Agreement No 317620 (LinkedUp) and the CIP ICT PSP eContentPlus project Open Discovery Space.  ... 
doi:10.1007/978-1-4939-0530-0_3 fatcat:72ewe3nnm5be5mygqyicy4m2gy

Social recommender systems for web 2.0 folksonomies

Stefan Siersdorfer, Sergej Sizov
2009 Proceedings of the 20th ACM conference on Hypertext and hypermedia - HT '09  
Our objective is to construct social recommender systems that predict the utility of items, users, or groups based on the multi-dimensional social environment of a given user.  ...  Our comprehensive evaluation shows the viability of our approach and emphasizes the key role of social meta knowledge for constructing effective recommendations in Web 2.0 applications. and Del.icio.us  ...  Acknowledgements This work was supported by EU FP7 projects LivingKnowledge and WeKnowIt and by DFG (German Research Foundation) funded project Multipla.  ... 
doi:10.1145/1557914.1557959 dblp:conf/ht/SiersdorferS09 fatcat:ue3v4fqo4fe5ljxrebtmjaisom

Online dating recommender systems

Jérôme Kunegis, Gerd Gröner, Thomas Gottron
2012 Proceedings of the 4th ACM RecSys workshop on Recommender systems and the social web - RSWeb '12  
In this paper, we present a novel and unified way to model this duality of the relations by using split-complex numbers, a number system related to the complex numbers that is used in mathematics, physics  ...  A typical recommender setting is based on two kinds of relations: similarity between users (or between objects) and the taste of users towards certain objects.  ...  Thus, dating recommender systems combine the characteristics of social recommender systems, in which users are recommended to each other, but in which friendships are usually undirected, and item recommender  ... 
doi:10.1145/2365934.2365942 dblp:conf/recsys/KunegisGG12 fatcat:aw5ueo443rh2zom5uh3b37gjjm

Social Sifter: An Agent-Based Recommender System to Mine the Social Web

M. Omar Nachawati, Rasheed Rabbi, Genong (Eugene) Yu, Larry Kerschberg, Alexander Brodsky
2012 Semantic Technologies for Intelligence, Defense, and Security  
A health recommender system prototype was developed using the Social Sifter architecture, which recommends treatments, prevention advice, therapies for ailments, and doctors and hospitals based on shared  ...  This paper presents the architecture for Social Sifter, an agent-based, collective intelligence system for assimilating information and knowledge across the Social Web.  ...  The Cobot system uses social conversation and social tagging (preference) to enhance the health recommendations.  ... 
dblp:conf/stids/NachawatiRYKB12 fatcat:uilqdxh7izhrpkd6vl5gs264ny

Can Social Network Be Used for Location-aware Recommendation?

Pasi Fränti, Karol Waga, Chaitanya Khurana
2015 Proceedings of the 11th International Conference on Web Information Systems and Technologies  
In this work, we study whether the social network of the user can be utilized for improving recommendations.  ...  Our goal is to give recommendations for mobile users about interesting places around his current location. The only input is the user, location and time.  ...  However, in recommendation system, the relevance of the information is more important than the social aspect.  ... 
doi:10.5220/0005495805580565 dblp:conf/webist/FrantiWK15 fatcat:zs7dtnx23jemnjule3rmjcckrq

Recommender systems with social regularization

Hao Ma, Dengyong Zhou, Chao Liu, Michael R. Lyu, Irwin King
2011 Proceedings of the fourth ACM international conference on Web search and data mining - WSDM '11  
and trust-aware recommender systems; (3) We coin the term Social Regularization to represent the social constraints on recommender systems, and we systematically illustrate how to design a matrix factorization  ...  Although Recommender Systems have been comprehensively analyzed in the past decade, the study of social-based recommender systems just started.  ...  CUHK4154/10E and CUHK 4152/10E) and a Google Focused Grant Project under "Mobile 2014". The authors also would like to thank the reviewers for their helpful comments.  ... 
doi:10.1145/1935826.1935877 dblp:conf/wsdm/MaZLLK11 fatcat:6b4kh3wxhfbdriz55mt5n56nta

Exploring social activeness and dynamic interest in community-based recommender system

Bin Yin, Yujiu Yang, Wenhuang Liu
2014 Proceedings of the 23rd International Conference on World Wide Web - WWW '14 Companion  
Community-based recommender systems have attracted much research attention.  ...  However, they failed to consider users' social attributes, such as social activeness and dynamic interest, which have strong correlations to users' preference and choice.  ...  Comparisons We compare CBMF with the state-of-the-art social recommender system, as well as a basic matrix factorization model and item/user-based collaborative filtering algorithms: SVD: The user-item  ... 
doi:10.1145/2567948.2579237 dblp:conf/www/YinYL14 fatcat:pu4q37alefhclpcmonl656z7pu

User data distributed on the social web

Francesca Carmagnola, Francesco Osborne, Ilaria Torre
2010 Proceedings of the 1st International Workshop on Information Heterogeneity and Fusion in Recommender Systems - HetRec '10  
The objective is exploiting the public user data available in the Web and especially in social networks.  ...  This paper presents an approach to uniquely identify users and to retrieve their data distributed in profiles stored in different systems.  ...  In [1] the authors propose a framework to import and integrate user data from other recommender systems.  ... 
doi:10.1145/1869446.1869448 fatcat:v3xo6kzfnrbffbuv2dq44vt7zu

Assessing language discrepancies between travelers and online travel recommendation systems: Application of the Jaccard distance score to web data mining

Sangwon Park, Dae-Young Kim
2017 Technological forecasting & social change  
By using a human-centric approach to online recommender systems, this research aims to estimate the language discrepancies of which travelers and destination marketers describe the travel experiences across  ...  Some possible methodological extensions that can improve recommendation capabilities, and managerial implications of these findings are provided.  ...  The most popular 10 words from  ... 
doi:10.1016/j.techfore.2017.03.031 fatcat:lfguuzkdljabfo5vh3uzw2umz4

Improving Collaborative Filtering in Social Tagging Systems for the Recommendation of Scientific Articles

Denis Parra-Santander, Peter Brusilovsky
2010 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology  
Social tagging systems pose new challenges to developers of recommender systems.  ...  for calculating the similarity between users and their neighbors, increases the coverage of the recommendation process.  ...  INTRODUCTION The new generation of Web 2.0 systems -also known as Social Web systems -presented another challenge to researchers and practitioners in the area of recommender systems.  ... 
doi:10.1109/wi-iat.2010.261 dblp:conf/webi/Parra-SantanderB10 fatcat:oovoahgep5avfbo7g47t5vbggu

Semantically-enhanced advertisement recommender systems in social networks

Ali Pazahr, J. Javier Samper Zapater, Francisco García Sánchez, Carmen Botella, Rafael Martinez
2016 Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services - iiWAS '16  
I wish all the best for these dear people. This Thesis is included in the Spanish MINECO project ''Radio Access Technologies for Heterogeneous Wireless Networks'' (RACHEL TEC2013-47141-C4-4-R).  ...  The Social Semantic Web joins advancements, systems and strategies from the Semantic Web, social programming and the Web 2.0 [223] .  ...  In particular, the researcher designs and develops recommender systems to aid the user in contributing to the Social Semantic Web.  ... 
doi:10.1145/3011141.3011489 dblp:conf/iiwas/PazahrZSBM16 fatcat:oi4kf355ovhkvl3wckpzfjajsu

Automatically sharing web experiences through a hyperdocument recommender system

Alessandra Alaniz Macedo, Khai N. Truong, José Antonio Camacho-Guerrero, Maria da GraÇa Pimentel
2003 Proceedings of the fourteenth ACM conference on Hypertext and hypermedia - HYPERTEXT '03  
As an approach that applies not only to support user navigation on the Web, recommender systems have been built to assist and augment the natural social process of asking for recommendations from other  ...  In a typical recommender system, people provide suggestions as inputs, which the system aggregates and directs to appropriate recipients.  ...  The authors would like to thank the subjects of experiments, Gregory Abowd and Lonnie Harvel for their support.  ... 
doi:10.1145/900051.900061 dblp:conf/ht/MacedoTCP03 fatcat:lmeaetxfgnd45adqb2n5ogvy4q

A tag recommendation system for folksonomy

Ning Zhang, Yuan Zhang, Jie Tang
2009 Proceeding of the 2nd ACM workshop on Social web search and mining - SWSM '09  
Users need to type the tags whenever they post a resource, so that a good tag recommendation system can ease the process of finding some useful and relevant keywords for users.  ...  Social bookmarking tools become more and more popular nowadays and tagging is used to organize information and allow users to recall or search the resources.  ...  This paper is organized as follows: Section 2 reviews recent development in the area of social bookmark tag recommendation systems.  ... 
doi:10.1145/1651437.1651440 dblp:conf/cikm/ZhangZT09 fatcat:rfykoakxwzbondguhgse6wwfx4
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