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MP4Rec: Explainable and Accurate Top-N Recommendations in Heterogeneous Information Networks

Makbule Gulcin Ozsoy, Diarmuid O'Reilly-Morgan, Panagiotis Symeonidis, Elias Z. Tragos, Neil Hurley, Barry Smyth, Aonghus Lawlor
2020 IEEE Access  
HETEROGENEOUS INFORMATION NETWORKS Heterogeneous information networks (HINs) are directed graphs using various types of information as nodes that are linked with the edges [11] .  ...  INTRODUCTION Heterogeneous Information Networks (HINs) consist of different node and link (relation) types.  ...  Aonghus has long experience in the areas of Machine Learning, Artificial Intelligence, Explainable AI, Natural Language Processing and Recommender Systems.  ... 
doi:10.1109/access.2020.3028587 fatcat:ejkztsrkrfc5hnsirrxmyocrqe

Heterogeneous Graph Learning for Explainable Recommendation over Academic Networks [article]

Xiangtai Chen, Tao Tang, Jing Ren, Ivan Lee, Honglong Chen, Feng Xia
2022 arXiv   pre-print
We construct a heterogeneous scholarly network to facilitate the exploring of the behavior of career moves and the recommendation of institutions for scholars.  ...  With these mechanisms, HAI provides ordered recommendations with explainability. We evaluate HAI upon a real-world dataset against baseline methods.  ...  [40] construct a heterogeneous co-occurrence network in a recommendation-oriented heterogeneous network. Ying et al.  ... 
arXiv:2202.07832v1 fatcat:ky7nsa6nxfc7taiopuhqq3vbzi

Graph Learning Approaches to Recommender Systems: A Review [article]

Shoujin Wang, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng, Mehmet Orgun, Longbing Cao, Nan Wang, Francesco Ricci, Philip S. Yu
2020 arXiv   pre-print
In this paper, we provide a systematic review of GLRS, on how they obtain the knowledge from graphs to improve the accuracy, reliability and explainability for recommendations.  ...  With the rapid development of graph learning, exploring and exploiting homogeneous or heterogeneous relations in graphs is a promising direction for building advanced RS.  ...  making reliable and explainable recommendations.  ... 
arXiv:2004.11718v1 fatcat:w6ug72c4pvgoxjcf643tmddfii

Attention-Guide Walk Model in Heterogeneous Information Network for Multi-Style Recommendation Explanation

Xin Wang, Ying Wang, Yunzhi Ling
Too many interactive factors between users and items can be used to interpret the recommendation in a heterogeneous information network.  ...  the heterogeneous information network.  ...  explanation model in heterogeneous network.  ... 
doi:10.1609/aaai.v34i04.6095 fatcat:mb636x2jbbhgxhxjyzxihj53w4

Revised_Online_Appendix – Supplemental material for Does Interpersonal Discussion Increase Political Knowledge? A Meta-Analysis

Eran Amsalem, Lilach Nir
2019 Figshare  
A Meta-Analysis by Eran Amsalem and Lilach Nir in Communication Research  ...  While discussion network size almost doubles the proportion of variance explained in political knowledge (from 0.026 to 0.045), discussion heterogeneity explains very little variance in political knowledge  ...  F4 The incremental validity of discussion network size.Note. R 2 = explained variance. ΔR 2 = increase in R 2 .  ... 
doi:10.25384/sage.9741803.v1 fatcat:bjeo57fbrrbthk66k2t234fw5m

Heterogeneous Information Network Embedding based Personalized Query-Focused Astronomy Reference Paper Recommendation

Xiaoyan Cai, Junwei Han, Shirui Pan, Libin Yang
2018 International Journal of Computational Intelligence Systems  
In this paper, we study the problem of personalized query-focused astronomy reference paper recommendation and propose a heterogeneous information network embedding based recommendation approach.  ...  In particular, we deem query researchers, query text, papers and authors of the papers as vertices and construct a heterogeneous information network based on these vertices.  ...  Heterogeneous Information Network Embedding based Personalized Query-Focused Reference Paper Recommendation Framework Heterogeneous Information Network Construction In this section, we first construct  ... 
doi:10.2991/ijcis.11.1.44 fatcat:rv3tb2j3bfgtrhd676rzrfn7ui

Survey on entity linking for domain specific with heterogeneous information networks

S. Mythrei, S. Singaravelan
2019 Informatologia  
Heterogeneous information networks (HIN) comprises multiple-type interlinked objects with various types of relationship which are becoming increasingly most popular named bibliographic networks, social  ...  media networks as well including the typical relational database data.  ...  Finally, explained the effectiveness of the proposed technique over several real datasets. /8/ explained the entity recommendation in the HIN.  ... 
doi:10.32914/i.52.3-4.5 fatcat:zd2ypopvpjfqnd3xw4tg57uuh4

Belief Changes and Expectation Heterogeneity in Buy- and Sell-Side Professionals in the Japanese Stock Market

Ryuichi Yamamoto, Hideaki Hirata
2012 Social Science Research Network  
as financial series such as stock prices and foreign exchange rates, and find that the forecasts are heterogeneous.  ...  In contrast to the assumption of the traditional rational representative agent, several papers investigate survey data of professional forecasts on macroeconomic series, such as inflation and GDP, as well  ...  Several studies examine the determinants of expectation heterogeneity in inflation and GDP or foreign exchange rates, but recent empirical research has foundered for explaining what explains forecast heterogeneity  ... 
doi:10.2139/ssrn.2001976 fatcat:udtfgtavwrdzrev5ydjkqe4brm

A Venture Capital Recommendation Algorithm based on Heterogeneous Information Network

Sen Wu, Huifei Li, Lu Liu
2020 International Journal of Computers Communications & Control  
Getting hints from PathRank algorithm, this paper proposes VC-Recom, a recommendation algorithm based on heterogeneous information network, which helps investment companies find suitable startup projects  ...  According to its characteristics, venture capital can be described as a typical heterogeneous information network, which includes multiple kinds of nodes and various relations.  ...  Current heterogeneous information network recommendation algorithms often ignore the structural information of heterogeneous information networks.  ... 
doi:10.15837/ijccc.2020.1.3779 fatcat:j442gob5irar5nn2pjbmmtbige

An Overview of Heterogeneous Information Networks based on Recommendation System

Tincy Thomas, Bincy Mathew, Aswathy Manoharan, Nijo Joseph, Binny S
2022 International Journal of Engineering Technology and Management Sciences  
and links in the networks.  ...  Heterogeneous Information Networks (HINs) provide a natural way to represent different relationships among entities of different kinds, as a consequence they are valuable in many domains.  ...  Benchmarks and Open-source tools The benchmark datasets generally utilized in heterogeneous information network-based recommender system.  ... 
doi:10.46647/ijetms.2022.v06i05.096 fatcat:2457jxoh7rcndoehf5333yqqyy


Fangbo Tao, Lidan Wang, Tim Weninger, Xiao Yu, Kin Hou Lei, George Brova, Xiao Cheng, Jiawei Han, Rucha Kanade, Yizhou Sun, Chi Wang
2013 Proceedings of the 2013 international conference on Management of data - SIGMOD '13  
A database contains rich, inter-related, multi-typed data and information, forming one or a set of gigantic, interconnected, heterogeneous information networks.  ...  By integrating these functionalities, Research-Insight may not only provide with us insightful recommendations in CS research but also help us gain insight on how to perform effective data mining in large  ...  a network, we model their interactions as a set of meta-paths in a heterogeneous information network.  ... 
doi:10.1145/2463676.2463689 dblp:conf/sigmod/TaoYLBCHKSWWW13 fatcat:emvwoxwvurce3mwqs6mmmrgauu

HG4 The Value of Heterogeneity for Cost-Effectiveness Subgroup Analysis: Theoretical Framework and Application

M. Espinoza, A. Manca, K. Claxton, M.J. Sculpher
2011 Value in Health  
CONCLUSIONS: Our initial findings support the argument that explicit consideration of heterogeneity in CEA leads to a positive static and dynamic VoH.  ...  In addition, heterogeneity not only may increase the EVPI but can also reduce its magnitude. The VoH framework offers a useful guidance for a more systematic CESA.  ...  K Euro) in order to estimate the percentage of variability in DRD that could be explained by these explicit factors.  ... 
doi:10.1016/j.jval.2011.08.052 fatcat:cuzybzciybf7rcxebacrfyt2ly

Deep-Sequence–Aware Candidate Generation for e-Learning System

Aziz Ilyosov, Alpamis Kutlimuratov, Taeg-Keun Whangbo
2021 Processes  
Therefore, in this study, we developed a novel recommendation system that takes advantage of sequence and heterogeneous information in the candidate-generation process.  ...  The principle underlying the proposed recommendation model is that the new sequence based embedding layer in the model catches the sequence pattern of user history.  ...  and A.K. would like to express their sincere gratitude and appreciation to their supervisor, Taeg Keun Whangbo (Gachon University), for his support, comments, remarks, and engagement over the period in  ... 
doi:10.3390/pr9081454 fatcat:jm6mlgizc5abfdzrh3utjigszi

Heterogeneous Collaborative Filtering [article]

Yifang Liu, Zhentao Xu, Cong Hui, Yi Xuan, Jessie Chen, Yuanming Shan
2019 arXiv   pre-print
Experiment results demonstrate that our approach improve the recommendation quality in a real world social network for content creating and sharing.  ...  Recommendation system is important to a content sharing/creating social network.  ...  EXPERIMENT This section explains our evaluation of HCF for its applications on content recommendation and content dissemination, in a real-world social network -Smule.  ... 
arXiv:1909.01727v1 fatcat:3udl36rse5ez7pjbraivpu5jse

HT3 Understanding the Complexity of HTA Networks

M. Andreykiv, A. Van engen, C. Wiebinga, O. Zorzi, R. Mark
2011 Value in Health  
CONCLUSIONS: Our initial findings support the argument that explicit consideration of heterogeneity in CEA leads to a positive static and dynamic VoH.  ...  In addition, heterogeneity not only may increase the EVPI but can also reduce its magnitude. The VoH framework offers a useful guidance for a more systematic CESA.  ...  K Euro) in order to estimate the percentage of variability in DRD that could be explained by these explicit factors.  ... 
doi:10.1016/j.jval.2011.08.056 fatcat:pfn47e4vz5hjdcunezxgt2kf4u
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