295 Hits in 5.1 sec

Buyer to Seller Recommendation under Constraints [article]

Cheng Chen, Lan Zheng, Venkatesh Srinivasan, Alex Thomo, Kui Wu, Anthony Sukow
2014 arXiv   pre-print
We propose the following critical problems of recommending buyers to sellers: Constrained Recommendation (C-REC) capturing the first two challenges, and Conflict-Aware Constrained Recommendation (CAC-REC  ...  The majority of recommender systems are designed to recommend items (such as movies and products) to users.  ...  Acknowledgments We would like to thank Terapeak Inc. for providing the eBay data for this research.  ... 
arXiv:1406.0455v3 fatcat:gcdsbwlrhjb6la4dffbf7kyc4a

A Unified Approach to Online Matching with Conflict-Aware Constraints

Pan Xu, Yexuan Shi, Hao Cheng, John Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Yongxin Tong, Leonidas Tsepenekas
Online bipartite matching and allocation models are widely used to analyze and design markets such as Internet advertising, online labor, and crowdsourcing.  ...  Traditionally, vertices on one side of the market are fixed and known a priori, while vertices on the other side arrive online and are matched by a central agent to the offline side.  ...  Acknowledgements The research of Karthik Sankararaman and Pan Xu  ... 
doi:10.1609/aaai.v33i01.33012221 fatcat:sbmmuxgemjezjk5iyaze5pijny

Exploiting The Structure of Bipartite Graphs for Algebraic and Spectral Graph Theory Applications

Jérôme Kunegis
2014 Internet Mathematics  
Examples of bipartite networks (also called two-mode networks) are persons and the social groups they belong to, musical artists and the musical genres they play, and text documents and the words they  ...  In various areas of science, engineering and commerce, many types of information can be represented as networks, and thus the discipline of network analysis plays an important role in these domains.  ...  as weighted and signed graphs, and their application to the bipartite case.  ... 
doi:10.1080/15427951.2014.958250 fatcat:ljymdfjvuvbrzjz2w5atisa7ry

Context-Aware Explainable Recommendation Based on Domain Knowledge Graph

Muzamil Hussain Syed, Tran Quoc Bao Huy, Sun-Tae Chung
2022 Big Data and Cognitive Computing  
In this work, we focus on the restaurant domain as an application domain and use the Yelp dataset to evaluate the system.  ...  In this paper, we propose a novel, context-aware recommender system, based on domain KG, to respond to user-defined natural queries. The proposed recommender system consists of three stages.  ...  Informed Consent Statement: Not applicable. Data Availability Statement: Not applicable. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/bdcc6010011 fatcat:elimpdaw6vao5hhqm6bl5a47mi

Systematic Design of Trust Management Systems for Wireless Sensor Networks: A Review [article]

Raghu Vamsi. P, Krishna Kant
2014 arXiv   pre-print
These networks are more vulnerable to security attacks due to their diverse applications, lack of supervision and limitations in view of resource, processing and storage.  ...  To mitigate these problems, trust is widely used as a tool to provide better security by aiding routing protocols.  ...  Energy watcher computes energy cost as EN b = EN b + E b . Where, EN b is the average energy cost for delivering a data packet from node N to its neighbor b with one hop.  ... 
arXiv:1406.3204v2 fatcat:z2gdqcywwbgtla4ojysyagv2fm

Beyond Personalization: Research Directions in Multistakeholder Recommendation [article]

Himan Abdollahpouri, Gediminas Adomavicius, Robin Burke, Ido Guy, Dietmar Jannach, Toshihiro Kamishima, Jan Krasnodebski, Luiz Pizzato
2019 arXiv   pre-print
Recommender systems are personalized information access applications; they are ubiquitous in today's online environment, and effective at finding items that meet user needs and tastes.  ...  As the reach of recommender systems has extended, it has become apparent that the single-minded focus on the user common to academic research has obscured other important aspects of recommendation outcomes  ...  Introduction Recommender systems provide personalized information access, supporting e-commerce, social media, news, and other applications where the volume of content would otherwise be overwhelming.  ... 
arXiv:1905.01986v2 fatcat:6a4wfm6mwfhzfghdgvcsifdgbq

A Survey of Heterogeneous Information Network Analysis [article]

Chuan Shi, Yitong Li, Jiawei Zhang, Yizhou Sun, Philip S. Yu
2015 arXiv   pre-print
Recently, more and more researchers begin to consider these interconnected, multi-typed data as heterogeneous information networks, and develop structural analysis approaches by leveraging the rich semantic  ...  We will introduce basic concepts of heterogeneous information network analysis, examine its developments on different data mining tasks, discuss some advanced topics, and point out some future research  ...  E-commerce website and conflicting information of certain objects from multiple websites.  ... 
arXiv:1511.04854v1 fatcat:n2k3sulq3fbq3e34lrfrv3uoou

Using Opinion Mining in Context-Aware Recommender Systems: A Systematic Review

Camila Sundermann, Marcos Domingues, Roberta Sinoara, Ricardo Marcacini, Solange Rezende
2019 Information  
Moreover, the advent of Web 2.0 and the growing popularity of social and e-commerce media sites have encouraged users to naturally write texts describing their assessment of items.  ...  Context-aware recommender systems have been widely investigated in both academia and industry because they can make recommendations based on a user's current context (e.g., location and time).  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/info10020042 fatcat:lgljoxtgtnahzfi55pig6ibp4q

Failure-aware kidney exchange

John P. Dickerson, Ariel D. Procaccia, Tuomas Sandholm
2013 Proceedings of the fourteenth ACM conference on Electronic commerce - EC '13  
Finally, we show that failure-aware matching can increase overall system efficiency and simultaneously increase the expected number of transplants to highly-sensitized patients, in both static and dynamic  ...  We address the problem of cycles and chains in proposed matches failing after the matching algorithm has committed to them.  ...  Acknowledgments Dickerson, Procaccia, and Sandholm: Failure-Aware Kidney Exchange  ... 
doi:10.1145/2492002.2482596 dblp:conf/sigecom/DickersonPS13 fatcat:ijauivndtfhxbii3ahi2wozvr4

Recommender systems

Linyuan Lü, Matúš Medo, Chi Ho Yeung, Yi-Cheng Zhang, Zi-Ke Zhang, Tao Zhou
2012 Physics reports  
In addition to algorithms, physical aspects are described to illustrate macroscopic behavior of recommender systems. Potential impacts and future directions are discussed.  ...  We emphasize that recommendation has a great scientific depth and combines diverse research fields which makes it of interests for physicists as well as interdisciplinary researchers.  ...  Acknowledgments This work was partially supported by the EU FET-Open Grant 231200 (project QLectives) and National Natural Science Foundation of China (Grant Nos. 11075031, 11105024, 61103109 and 60973069  ... 
doi:10.1016/j.physrep.2012.02.006 fatcat:cywkeyu2wjdzhdqkg2545v5f7a

Collaborative Knowledge-Enhanced Recommendation with Self-Supervisions

Zhiqiang Pan, Honghui Chen
2021 Mathematics  
Moreover, we introduce the self-supervised learning to maximize the mutual information between the interaction- and knowledge-aware user preferences by deriving additional supervision signals.  ...  Specifically, CKER proposes a collaborative graph convolution network (CGCN) to learn the user and item representations from the connection between items in the constructed interaction graph and the connectivity  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/math9172129 fatcat:wrshbg7qyrh6blkhjl4ibencpe

What is scalability in multi-agent systems?

Omer F. Rana, Kate Stout
2000 Proceedings of the fourth international conference on Autonomous agents - AGENTS '00  
Our main contribution is to highlight the importance of combining performance engineering with agent oriented design methodologies, to design and build large agent based applications.  ...  In this paper we address issues such as whether scalability is a theme that can be investigated in isolation to a particular agent development environment or application, and more importantly, whether  ...  In an e-commerce application employing negotiating agents, or one based on the market-place paradigm, is it possible to determine how many agents can be supported without significant delays to the user  ... 
doi:10.1145/336595.337033 dblp:conf/agents/RanaS00 fatcat:4zx4euezujalhmkef3aer2w5d4

Explainable Recommendation: A Survey and New Perspectives [article]

Yongfeng Zhang, Xu Chen
2020 arXiv   pre-print
Explainable recommendation tries to address the problem of why: by providing explanations to users or system designers, it helps humans to understand why certain items are recommended by the algorithm,  ...  We also devote a chapter to discuss the explanation perspectives in broader IR and AI/ML research.  ...  Any opinions, findings and conclusions expressed in this material are those of the authors and do not necessarily reflect those of the sponsors.  ... 
arXiv:1804.11192v10 fatcat:scsd3htz65brbiae35zd3nixe4

Understanding the Trustworthiness Management in the Social Internet of Things: A Survey [article]

Subhash Sagar and Adnan Mahmood and Quan Z. Sheng and Jitander Kumar Pabani and Wei Emma Zhang
2022 arXiv   pre-print
Trust plays a significant role to achieve the common goal of trustworthy collaboration and cooperation among the objects and provide systems' credibility and reliability.  ...  behaviour similar to that of humans.  ...  [68] , e-commerce [69] , etc.).  ... 
arXiv:2202.03624v2 fatcat:g64bzqgjrzfxfbjcrous7qn4ue

Ranking in evolving complex networks

Hao Liao, Manuel Sebastian Mariani, Matúš Medo, Yi-Cheng Zhang, Ming-Yang Zhou
2017 Physics reports  
The aim of this review is to survey the existing ranking algorithms, both static and time-aware, and their applications to evolving networks.  ...  The problem of ranking the nodes and the edges in complex networks is critical for a broad range of real-world problems because it affects how we access online information and products, how success and  ...  Acknowledgments We wish to thank Alexander Vidmer for providing us with data and tools used for the analysis presented in Section 7.2, and for his early contribution to the text of that Section.  ... 
doi:10.1016/j.physrep.2017.05.001 fatcat:kau2iijcrram3opqza6ehacvka
« Previous Showing results 1 — 15 out of 295 results