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Reciprocal Recommender Systems: Analysis of State-of-Art Literature, Challenges and Opportunities towards Social Recommendation [article]

Ivan Palomares, Carlos Porcel, Luiz Pizzato, Ido Guy, Enrique Herrera-Viedma
2021 arXiv   pre-print
Recommender systems arose as a data-driven personalized decision support tool to assist users in these situations: they are able to process user-related data, filtering and recommending items based on  ...  the users preferences, needs and/or behaviour.  ...  Acknowledgement We appreciate the financial support of Spanish State Research Agency -Ministry of Science and Innovation Grant PID2019-103880RB-I00.  ... 
arXiv:2007.16120v3 fatcat:ly6d45grijbpjbk7ubm4hj3yyq

ANDRUSPEX : Leveraging Graph Representation Learning to Predict Harmful App Installations on Mobile Devices [article]

Yun Shen, Gianluca Stringhini
2021 arXiv   pre-print
based on the apps that a user previously installed.  ...  In this paper we develop Andruspex, a system based on graph representation learning, allowing us to learn latent relationships between user devices and PHAs and leverage them for prediction.  ...  Acknowledgments We wish to thank the anonymous shepherd and reviewers for their feedback in improving this paper.  ... 
arXiv:2103.05476v2 fatcat:2lur6i6dhfdb7ieycdvzjbhvum

A Hybrid Recommendation Method Integrating the Social Trust Network and Local Social Influence of Users

Lilei Lu, Yuyu Yuan, Xu Chen, Zhaohui Li
2020 Electronics  
Different from the existing work, we propose a hybrid recommendation method based on the users' social trust network in this study.  ...  Second, it improves the traditional collaborative filtering (CF) method based on a Pearson Correlation Coefficient (PCC) to reduce extreme values in prediction.  ...  Finally, we elicit our work in this study based on the above existing work.  ... 
doi:10.3390/electronics9091496 fatcat:cohhwwoi7bgsjdfmjpysb3mqpu

Harnessing the Power of the General Public for Crowdsourced Business Intelligence: A Survey

Bin Guo, Yan Liu, Yi Ouyang, Vincent W. Zheng, Daqing Zhang, Zhiwen Yu
2019 IEEE Access  
Compared with the traditional business intelligence that is based on the firm-owned data and survey data, CrowdBI faces numerous unique issues, such as customer behavior analysis, brand tracking, and product  ...  This paper first characterizes the concept model and unique features and presents a generic framework for CrowdBI.  ...  Traditional methods to analyze customer behaviors is based on video monitoring.  ... 
doi:10.1109/access.2019.2901027 fatcat:a5vz6vl7urckpdsreplkvjalea

Scalable Distributed Decision-Making and Coordination in Large and Complex Systems: Methods, Techniques, and Models

Marin Lujak, Stefano Giordani, Andrea Omicini, Sascha Ossowski
2020 Complexity  
We give a comparison and critical analysis of recent research results focusing on centralized, distributed, and decentralized solution approaches.  ...  assisting previous tasks or by participating in the fleet at times based on individual interest.  ...  (ADEME) and "IntelliEDGE" project "RTI2018-095390-B-C33" funded by Spanish Ministry of Science, Innovation and Universities.  ... 
doi:10.1155/2020/1425909 fatcat:ujhkjp7xmngu3msc7vu4l5lipm

Content-based Music Recommendation: Evolution, State of the Art, and Challenges [article]

Yashar Deldjoo, Markus Schedl, Peter Knees
2021 arXiv   pre-print
Based on a thorough literature analysis, we first propose an onion model comprising five layers, each of which corresponds to a category of music content we identified: signal, embedded metadata, expert-generated  ...  In contrast to most other recommendation domains, which predominantly rely on collaborative filtering (CF) techniques, music recommenders have traditionally embraced content-based (CB) approaches.  ...  GeoShuffle augments the user's listening preferences with location-based and time-based information and generates a playlist based on the user's location, path, and historical choices.  ... 
arXiv:2107.11803v1 fatcat:4hz4hqkkmvcapbdr3wvtp2t4iu

Web Personalization and Recommendation: A Review

Nayab Zya, Mohammad Suaib, M Husain
It provides a platform for exchanging a variety of information, ranging from research papers, and instructive substance, to multimedia content, software and personal logs (blogs).  ...  The user interests and predilections play a significant role to boost effectiveness of information retrieval systems.  ...  [10] proposed a computational model for trust-based collaborative filtering with a method to generate and proliferate trust in a social network.  ... 

Identification of Social Interactions

Lawrence E. Blume, William A. Brock, Steven N. Durlauf, Yannis M. M. Ioannides
2010 Social Science Research Network  
We also consider experimental and quasi-experimental methods.  ...  While interest in social determinants of individual behavior has led to a rich theoretical literature and many efforts to measure these influences, a mature "social econometrics" has yet to emerge.  ...  The first difficulty in bringing experimental and other empirical methods to bear on trust is that one has to know what one is measuring. Trust has proven to be a highly illusive concept.  ... 
doi:10.2139/ssrn.1660002 fatcat:l57zzv222zgmzlvptsotp2hzoa

Identification of Social Interactions [chapter]

Lawrence E. Blume, William A. Brock, Steven N. Durlauf, Yannis M. Ioannides
2011 Handbook of Social Economics  
We also consider experimental and quasi-experimental methods.  ...  Proof of Theorems 3, 4, 5 and 7 on Social Networks 947 A3.  ...  The first difficulty in bringing experimental and other empirical methods to bear on trust is that one has to know what one is measuring. Trust has proven to be a highly elusive concept.  ... 
doi:10.1016/b978-0-444-53707-2.00001-3 fatcat:ktbuizrkqba75nin4tgk62jx6q

Scatter/Gather Clustering: Flexibly Incorporating User Feedback to Steer Clustering Results

M. Shahriar Hossain, Praveen Kumar Reddy Ojili, Cindy Grimm, Rolf Muller, Layne T. Watson, Naren Ramakrishnan
2012 IEEE Transactions on Visualization and Computer Graphics  
-451069, and DBI-1053171, the US Army Research Office (award id 451069), CRA Distributed Mentor Program, AFRL through grant FA8650-09-2-3938, and AFOSR through grant FA9550-09-1-0153.  ...  ACKNOWLEDGMENTS This work is supported in part by the Institute for Critical Technology and Applied Science -Virginia Tech, the US National Science Foundation through grants CCF-0937133, CCF-0702662, DBI  ...  To prepare a k × k ′ contingency table, we simply iterate over the implicit one-to-one relationships between X and X ′ : We suitably increment the appropriate entry in the contingency table in a one-to-one  ... 
doi:10.1109/tvcg.2012.258 pmid:26357192 fatcat:t5wuvtbbjvgudpww56fgzdfbru

Visions in Theoretical Computer Science: A Report on the TCS Visioning Workshop 2020 [article]

Shuchi Chawla, Jelani Nelson, Chris Umans, David Woodruff
2021 arXiv   pre-print
a professional graphic designer.  ...  Work in this field is often recognized by its emphasis on mathematical technique and rigor.  ...  We perhaps store a graph of concepts or events based on how they are related or correlated.  ... 
arXiv:2107.02846v1 fatcat:rqtyk4obbjfwpeiovsymacxnga

Exploratory mining of collaborative social content

Mahashweta Das
2013 Proceedings of the 2013 Sigmod/PODS Ph.D. symposium on PhD symposium - SIGMOD'13 PhD Symposium  
, while LSH and FDP based methods cannot.  ...  The system elicits user preferences via a tree-shaped flowchart, where each node is a question to the user.  ...  Therefore, the prob-158 lem can be expressed as s-SUM Problem, which is a parameterized version of the well known combinatorial optimization problem SUBSET SUM and aims to find a subset of size s from  ... 
doi:10.1145/2483574.2483584 dblp:conf/sigmod/Das13 fatcat:umkl6mvkkre73mwledmv55inua

The Vessel Schedule Recovery Problem (VSRP) – A MIP model for handling disruptions in liner shipping

Berit D. Brouer, Jakob Dirksen, David Pisinger, Christian E.M. Plum, Bo Vaaben
2013 European Journal of Operational Research  
This article focuses on the formulation of a reliable measure of profitability for the involved vehicles. The measure is based on a timespatial decomposition of customer data.  ...  However, MIP models have difficulties including reality-based factors that can have a substantial impact on carsharing.  ...  -Optimal Dynamic Tax Evasion: A Portfolio Approach Francesco Menoncin, Economics, Brescia University, Via S. Faustino, 74/B, 25122, Brescia, Italy,, Rosella Levaggi  ... 
doi:10.1016/j.ejor.2012.08.016 fatcat:c27kagfnxnhjfbil2rydhjhomm

Functional Representation of Prototypes in LVQ and Relevance Learning [chapter]

Friedrich Melchert, Udo Seiffert, Michael Biehl
2016 Advances in Intelligent Systems and Computing  
discussion on Social Robots, with contributions by Elly Konijn (Vrije  ...  (University of Kent), Frank van Harmelen (Vrije Universiteit Amsterdam), Hado van Hasselt (Google DeepMind), and Manuela Veloso (Carnegie Mellon University), a Research meets Business session, a panel  ...  The thesis was supervised by Frans A. Oliehoek. This paper shows that multidisciplinary methods yield interesting results and should be further explored.  ... 
doi:10.1007/978-3-319-28518-4_28 fatcat:uwxvq6txmrba3ajulmblafgh2a

Semantic networks

Fritz Lehmann
1992 Computers and Mathematics with Applications  
The eight are: CONCEPTUAL DEPENDENCY • CONCEPTUAL GRAPHS • ECO • KL-ONE PATH-BASED INHERITANCE • PREFERENCE SEMANTICS • PSN • SNEPS In some of these there are all sorts of variants and it is quite confusing  ...  methods such as rule-based search, automatic theorem-proving, constraint satisfaction, machine learning algorithms, and others.  ...  Chaflin & Herrmann [113, 114] develop a taxonomy of 31 relations based on relational primitive components (elicited from psychological studies).  ... 
doi:10.1016/0898-1221(92)90135-5 fatcat:4nli67lrsjdzdiu56i5ixwhm2a
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