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A Large-Scale Rich Context Query and Recommendation Dataset in Online Knowledge-Sharing [article]

Bin Hao, Min Zhang, Weizhi Ma, Shaoyun Shi, Xinxing Yu, Houzhi Shan, Yiqun Liu, Shaoping Ma
2021 arXiv   pre-print
In this paper, a new large-scale dataset collected from a knowledge-sharing platform is presented, which is composed of around 100M interactions collected within 10 days, 798K users, 165K questions, 554K  ...  Multiple experiments show the dataset can be used to evaluate algorithms in general top-N recommendation, sequential recommendation, and context-aware recommendation.  ...  online knowledge-sharing community called Zhihu.  ... 
arXiv:2106.06467v1 fatcat:km3z66zbcrcmhppc4yjfuihiha

Context-based friend suggestion in online photo-sharing community

Ting Yao, Chong-Wah Ngo, Tao Mei
2011 Proceedings of the 19th ACM international conference on Multimedia - MM '11  
Meanwhile, the graph is initialized in a way that users with higher visual similarity to a given query have better chance to be recommended.  ...  With the popularity of social media, web users tend to spend more time than before for sharing their experience and interest in online photo-sharing sites.  ...  in online photo-sharing site.  ... 
doi:10.1145/2072298.2071909 dblp:conf/mm/YaoNM11 fatcat:fd3c3yuahjdtjo2oiu3mxyflj4

Extracting Emergent Semantics from Large-Scale User-Generated Content [chapter]

Ioannis Kompatsiaris, Sotiris Diplaris, Symeon Papadopoulos
2012 Advances in Intelligent and Soft Computing  
This paper presents a survey of novel technologies for uncovering implicit knowledge through the analysis of user-contributed content in Web2.0 applications.  ...  A showcase of such an emergent semantics extraction application, namely ClustTour, is also presented, and open issues and future challenges in this new field are discussed.  ...  data mining, and multimedia understanding, where for example, social media sites can be used as a rich source of weakly labelled data for solving large-scale artificial intelligence problems.  ... 
doi:10.1007/978-3-642-28664-3_3 dblp:conf/ictinnovations/KompatsiarisDP11 fatcat:ehsp5zztzfh4pcciwkvsxhc5au

Enhancing Location-Based Social Media Network Services with Semantic Technologies: A Review

Olayinka Adeleye, Opeyemi Ajibola, Precious Odiase
2017 FUOYE Journal of Engineering and Technology  
Today's location-based social media services have gone beyond mere sharing users'real-time locationsvia internet, they now serve as the bridge between the real world and the online world.  ...  However, unprecedented amount of noise and unstructured data exist on these networks, making knowledge representation, point of interest recommendation and precision of search engine results cumbersome  ...  It exploits regularities in structured and large dataset and also deals with highly sparse related data.  ... 
doi:10.46792/fuoyejet.v2i1.50 fatcat:3w7rfefp3ndrvnfbnxsrnb37pi

CLEF 2014

Linda Cappellato, Mark Sanderson, Elaine Toms, Robert Villa, Paul Clough, Nicola Ferro, Mark Hall, Martin Halvey, Allan Hanbury, Evangelos Kanoulas, Wessel Kraaij, Mihai Lupu
2014 SIGIR Forum  
We would also like to acknowledge the support provided by Microsoft Research and the University of Sheffield.  ...  Acknowledgments The success of CLEF 2014 would not have been possible without the contributions of the members of the Programme Committee, the Organizing Committee, Lab Organizers, students volunteers and  ...  Focusing on a short search query in isolation is a very difficult task; query understanding is much easier if the "context" in which the query arises, e.g., previous queries the searcher has issued, the  ... 
doi:10.1145/2701583.2701589 fatcat:oellkoy6zfehfg7hgyaumipvzy

Recommendation System based on Semantic Scholar Mining and Topic modeling: A behavioral analysis of researchers from six conferences [article]

Hamed Jelodar, Yongli Wang, Mahdi Rabbani, Ru-xin Zhao, Seyedvalyallah Ayobi, Peng Hu, Isma Masood
2018 arXiv   pre-print
Recommendation systems have an important place to help online users in the internet society.  ...  In fact, We apply probabilistic topic modeling based on Gibbs sampling algorithms for a semantic mining from six conference publications in computer science from DBLP dataset.  ...  For evaluation and test, Used a large dataset from a bibliography sharing service (CiteULike) [7] . Table 1 , shown some impressive work based on LDA for paper recommendation.  ... 
arXiv:1812.08304v1 fatcat:ql264icqmnamzbyz45fweujuxi

Multimedia Semantics: Interactions Between Content and Community

Hari Sundaram, Lexing Xie, Munmun De Choudhury, Yu-Ru Lin, Apostol Natsev
2012 Proceedings of the IEEE  
The presence of near ubiquitous low-cost computing and communication technologies have enabled people to access and share information at unprecedented scale, which necessitates new research for making  ...  We examine the inter-relationship between content and social context through the prism of three key questions. First, how do we extract context in which social interactions occur?  ...  Analyzing large scale video propagation enables us to study the social dimensions of rich-media sharing, especially user influence and event dynamics.  ... 
doi:10.1109/jproc.2012.2191529 fatcat:tayhtgkr6jfz7l2efpic4ygaqy

Provisioning and Usage of Provenance Data in the WebIsALOD Knowledge Graph

Sven Hertling, Heiko Paulheim
2018 International Semantic Web Conference  
In this paper, we describe several alternatives and design decisions for providing statement-level provenance information at large scale for the WebIsALOD dataset.  ...  The WebIsALOD dataset provides a linked data endpoint to the WebIsA database, which harvests millions of subsumption relations from a large scale Web crawl using text patterns.  ...  , and that the experience shared in this paper might serve as helpful advice for implementing provenance in a way that suits the dataset at hand.  ... 
dblp:conf/semweb/HertlingP18a fatcat:lqqw43kdfbh3jfgfk2z37ytchm

GLOBIL: WWF's Global Observation and Biodiversity Information Portal

A. C. Shapiro, L. Nijsten, S Schmitt, P Tibaldeschi
2015 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
WWF is bridging this gap by putting extensive spatial data into an easy to use online mapping environment, to allow visualization, manipulation and analysis of large data sets by any user.  ...  <br><br> GLOBIL is currently being used in the worldwide marine campaign as an advocacy tool for establishing more marine protected areas, and a monitoring interface to track the progress towards ocean  ...  This data is accessible to anyone, allowing the easy manipulation and querying of a large, complicated dataset which normally requires long download time and processing and technical knowledge and software  ... 
doi:10.5194/isprsarchives-xl-7-w3-511-2015 fatcat:7hkrzgr6b5bafnwnnauz37mnzi

SMP Challenge: An Overview of Social Media Prediction Challenge 2019 [article]

Bo Wu, Wen-Huang Cheng, Peiye Liu, Bei Liu, Zhaoyang Zeng, Jiebo Luo
2020 arXiv   pre-print
We also collected and released a large-scale SMPD benchmark with over 480K posts from 69K users.  ...  In this paper, we define the challenge problem, give an overview of the dataset, present statistics of rich information for data and annotation and design the accuracy and correlation evaluation metrics  ...  SMP Challenge 2017 and 2018 was sponsored by Kwai Inc. and JD AI Research.  ... 
arXiv:1910.01795v2 fatcat:s6gas4wpgvfjxaa7e2ltiynbni

A Survey on Food Computing [article]

Weiqing Min and Shuqiang Jiang and Linhu Liu and Yong Rui and Ramesh Jain
2019 arXiv   pre-print
Large-scale food data offers rich knowledge about food and can help tackle many central issues of human society. Therefore, it is time to group several disparate issues related to food computing.  ...  large-scale food data.  ...  Prediction and Monitoring Online social networks (e.g., Twitter, Instagram and Facebook) with billions of users and shared large-scale food data, have become rich sources to conduct food-related prediction  ... 
arXiv:1808.07202v5 fatcat:qjitfexaffd3fohfb7iy3lwfyi

A Fast Effective Multi-Channeled Tag Recommender

Jonathan Gemmell, Maryam Ramezani, Thomas Schimoler, Laura Christiansen, Bamshad Mobasher
2009 European Conference on Principles of Data Mining and Knowledge Discovery  
Collaborative tagging applications allow users to annotate online resources, resulting in a complex three dimensional network of interrelated users, resources and tags often called a folksonom A pivotal  ...  In this paper we propose a composite tag recommender based upon popularity and collaborative filtering.  ...  Acknowledgments This work was supported in part by the National Science Foundation Cyber Trust program under Grant IIS-0430303 and a grant from the Department of Education, Graduate Assistance in the Area  ... 
dblp:conf/pkdd/GemmellRSCM09 fatcat:actqmh6pkzgddkrscmjxcxt674

LabBook: Metadata-driven social collaborative data analysis

Eser Kandogan, Mary Roth, Peter Schwarz, Joshua Hui, Ignacio Terrizzano, Christina Christodoulakis, Renee J. Miller
2015 2015 IEEE International Conference on Big Data (Big Data)  
Studies suggest that analytic work in an enterprise occurs in a complex ecosystem of people, data, and software working in a coordinated manner.  ...  We describe a specific use case and discuss several design issues concerning the capture, representation, querying and use of metadata.  ...  Data discovery becomes easier as datasets are recommended to users in a manner that reflects their work, needs, and context. VI.  ... 
doi:10.1109/bigdata.2015.7363784 dblp:conf/bigdataconf/KandoganRSHTCM15 fatcat:ajrr5ey2ezdl5ftb3d7zmta3ny


Yi Hsuan Yang, Po Tun Wu, Ching Wei Lee, Kuan Hung Lin, Winston H. Hsu, Homer H. Chen
2008 Proceeding of the 16th ACM international conference on Multimedia - MM '08  
) by leveraging the rich context cues, including the visual content, high-level concept scores, time and location metadata.  ...  Besides being effective and unsupervised, the proposed methods are efficient and can be finished at query time, which is vital for practical online applications.  ...  To our best knowledge, ContextSeer represents one of the first attempts searching over large-scale (0.5 million) shared consumer photos.  ... 
doi:10.1145/1459359.1459387 dblp:conf/mm/YangWLLHC08 fatcat:s7nthtjrxne4ndwzuebmcyu6cm

Understanding Large-Scale Social Relationship Data by Combining Conceptual Graphs and Domain Ontologies

Zhao Huang, Liu Yuan, Benjamin Miranda Tabak
2021 Discrete Dynamics in Nature and Society  
However, it still faces challenges to represent and manage the large-scale social relationship data in a formal manner.  ...  People worldwide communicate online and create a great amount of data on social media.  ...  Acknowledgments is study was supported by research grants funded by the National Natural Science Foundation of China (Grant nos. 61771297 and 61907029) and Natural Science Foundation of Shaanxi, China  ... 
doi:10.1155/2021/2857611 fatcat:rgjvr5fhxvarbjlfo4g2hg7qaq
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