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Two-Way Grouping by One-Way Topic Models [chapter]

Eerika Savia, Kai Puolamäki, Samuel Kaski
2009 Lecture Notes in Computer Science  
We suggest approximating the Two-Way Model with two URP models; one that groups users and one that groups documents. Their two predictions are combined using a product of experts model.  ...  This combination of two one-way models achieves even better prediction performance than the original Two-Way Model.  ...  Inspired by this theoretical guarantee, we suggest approximating the Two-Way Model with two User Rating Profile models (URP, [20] ); one that groups users and one that groups documents.  ... 
doi:10.1007/978-3-642-03915-7_16 fatcat:fzrq6kmoqfamnlmgf42j4nlika

Modeling and Multiway Analysis of Chatroom Tensors [chapter]

Evrim Acar, Seyit A. Çamtepe, Mukkai S. Krishnamoorthy, Bülent Yener
2005 Lecture Notes in Computer Science  
Chatroom tensors are generated by a simulator which collects and models actual communication data.  ...  First, it extends data analysis to multiple dimensions by constructing n-way data arrays known as high order tensors.  ...  Given a topic-tuple T 1 , · · · , T n of n topics, the model computes the number of messages m j,k posted by user j on topic k.  ... 
doi:10.1007/11427995_21 fatcat:bmj6tbl7lfd4rk24lxpx6sgyru

Topickr

Radu Andrei Negoescu, Daniel Gatica-Perez
2008 Proceeding of the 16th ACM international conference on Multimedia - MM '08  
Although users and groups are conceptually different, in practice they can be represented in the same way: a bag-of-tags, which is amenable for probabilistic topic modeling.  ...  One very important aspect in Flickr is the ability of users to organize in self-managed communities called groups.  ...  Acknowledgements This research has been supported by the Swiss National Science Foundation through the MULTI project. The authors would also like to thank Dr.  ... 
doi:10.1145/1459359.1459505 dblp:conf/mm/NegoescuG08 fatcat:mwfjdqz4sngdpogj7lsf4na3ee

Flickr group recommendation based on tensor decomposition

Nan Zheng, Qiudan Li, Shengcai Liao, Leiming Zhang
2010 Proceeding of the 33rd international ACM SIGIR conference on Research and development in information retrieval - SIGIR '10  
Over the last few years, Flickr has gained massive popularity and groups in Flickr are one of the main ways for photo diffusion.  ...  The proposed model measures the latent associations between users and groups by considering both semantic tags and social relations. Experimental results show the usefulness of the proposed model.  ...  ] or incorporating data into two dimensions [3] to construct topic models.  ... 
doi:10.1145/1835449.1835591 dblp:conf/sigir/ZhengLLZ10 fatcat:6mnlave3unfu3eumis2uergvtq

Building Tag-Aware Groups for Music High-Order Ranking and Topic Discovery

Dimitrios Rafailidis, Alexandros Nanopoulos, Yannis Manolopoulos
2010 International Journal of Multimedia Data Engineering and Management  
Here, we focus on the analysis of social tagging data to reveal coherent groups characterized by their users, tags and music objects, e.g. songs and artists.  ...  We experiment with real data and our results show that each Tag-Aware group corresponds to a specific music topic and additionally, a three way ranking analysis is performed inside each group.  ...  We observed that our implementation is capable of dividing the initial unorganized triplets to music topics, by producing 20 concrete Tag-Aware groups. To ensure that effective results are  ... 
doi:10.4018/jmdem.2010070101 fatcat:xldse6g4mbgfppjb4rhfvgskaa

Some ways of increasing the efficiency of teaching data structures

Zarema S. Seidametova
2021 International Conference on Information and Communication Technologies in Education, Research, and Industrial Applications  
In the first experiment, study groups were prepared on the subjects (1) and ( 2 ) by the same level of teaching technique with or without visualization tools.  ...  Unlike the first experiment, in the second experiment, we used flipped classroom concepts for one study group and a standard way of teaching for another group.  ...  Unlike the first experiment, in the second experiment, we used flipped classroom concept for one study group and a standard way of teaching for another group.  ... 
dblp:conf/icteri/Seidametova21 fatcat:wbo2uermbzcxtipfqcvj35jsl4

Modeling Flickr Communities Through Probabilistic Topic-Based Analysis

Radu-Andrei Negoescu, Daniel Gatica-Perez
2010 IEEE transactions on multimedia  
topic modeling.  ...  On a dataset containing users of 10 000 Flickr groups and over 1 milion photos, we show how this common topic-based representation allows for a novel analysis of the groups-users Flickr ecosystem, which  ...  An intuitive way to describe a text document is by considering the different topics it talks about.  ... 
doi:10.1109/tmm.2010.2050649 fatcat:lhcv7fclaffxpk6hl6w7ofx664

The Intelligent Helpdesk: Supporting Peer-Help in a University Course [chapter]

Jim Greer, Gordon McCalla, John Cooke, Jason Collins, Vive Kumar, Andrew Bishop, Julita Vassileva
1998 Lecture Notes in Computer Science  
The selection of the appropriate help resource (electronic or human) is based on modelling student knowledge and on a conceptual model of the subject material.  ...  One of its components, CPR, provides a subject-oriented discussion forum and FAQ-list providing students with electronic help.  ...  In this paper we focus on the first two ways of supporting peer help. The last two ways are the topics of other ongoing research projects in our lab and are not discussed here.  ... 
doi:10.1007/3-540-68716-5_55 fatcat:coxv6zcswzbynajek7hpfwyzdu

Digital monitoring of societal discussions in Online Social Networks

Timo Wandhoefer, Peter Mutschke, Mark Thamm, York Sure
2020 Zenodo  
The goal of the project is to develop a software toolkit that allows stakeholders to get in a two-way dialog with citizens in Online Social Networks.  ...  The paper presents use cases for detecting, tracking, mining and monitoring opinions on societal topics that take place in online communities.  ...  'buzz'Toolbox demonstrator Jan '12 Comments PRO / CON Groups Dialogues Suggestions Topics Hottest group on topic 2 Emotions Approach: Toolbox Discussing societal issues like nuclear  ... 
doi:10.5281/zenodo.3781694 fatcat:bzmkp6eehnextczjuw3ayqpd6m

Topic Modeling of Everyday Sexism Project Entries

Sophie Melville, Kathryn Eccles, Taha Yasseri
2019 Frontiers in Digital Humanities  
More precisely, we come up with a map of topics for two different resolutions of our topic model and discuss the connection between the identified topics.  ...  We use topic-modeling techniques to extract emerging topics and concepts from the reports, and to map the semantic relations between those topics.  ...  This can be done in two ways: (1) by comparing how words are assigned to each pairs of topics and (2) by comparing how documents are assigned to each topic.  ... 
doi:10.3389/fdigh.2018.00028 fatcat:7yhcnlgzhjbwljmv3dhrx7gbrq

A Framework for Comparing Groups of Documents

Arun Maiya
2015 Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing  
A bipartite graph model is proposed where document groups are represented as one node set and the comparison criteria are represented as the other node set.  ...  Using this model, we present basic algorithms to extract insights into similarities and differences among the document groups.  ...  We define document groups in two ways: by program element and by calendar year.  ... 
doi:10.18653/v1/d15-1100 dblp:conf/emnlp/Maiya15 fatcat:twb2prwjibaerd7tj46nnkqv2u

Concept-Based Approach in Writing Instruction: The Effect of Concept Model

Donghong Liu, Maolin Zhang
2014 Studies in English Language Teaching  
But the control group experienced a traditional approach, "movement from the concrete to the abstract". The results manifest the facilitating effect of concept model on knowledge internalization.  ...  The experiment procedure consisted of four steps: facing problems, producing concept models, revising concept models and applying concept models.  ...  Apart from the model, the essays written by the two groups were also compared.  ... 
doi:10.22158/selt.v2n3p281 fatcat:mjhrjqlefrf6fl5s3qae5afjhq

A Framework for Comparing Groups of Documents [article]

Arun S. Maiya
2015 arXiv   pre-print
A bipartite graph model is proposed where document groups are represented as one node set and the comparison criteria are represented as the other node set.  ...  Using this model, we present basic algorithms to extract insights into similarities and differences among the document groups.  ...  Conclusion We have presented a bipartite graph model for drawing comparisons among large groups of documents.  ... 
arXiv:1508.05902v1 fatcat:s24s5boljrambfhosihbvj53xu

Who they are and what they want: Understanding the reasons for MOOC enrollment

R. Wes Crues, Nigel Bosch, Carolyn J. Anderson, Michelle Perry, Suma Bhat, Najmuddin Shaik
2018 Educational Data Mining  
The diversity in reasons that students have for enrolling in massive open online courses (MOOCs) is an often-overlooked aspect while modeling learners' behaviors in MOOCs.  ...  Furthermore, log-linear models were employed to understand the relations between the reasons students enrolled, the course they took, and their background characteristics.  ...  to three-way contingency tables of topic by course by background characteristic.  ... 
dblp:conf/edm/CruesBAPBS18 fatcat:ci2bth64h5c75jjxj7vq4hyeke

An Innovative Way to Model Twitter Topic-Driven Interactions Using Multiplex Networks

Obaida Hanteer, Luca Rossi
2019 Frontiers in Big Data  
Our model relies on grouping Twitter hashtags, in a given context, into themes/topics and then using the multiplex network model to construct a thematic multiplex where each layer corresponds to a topic  ...  We propose a way to model topic-based implicit interactions among Twitter users.  ...  In this paper, we address this gap by proposing an innovative way to model topic-driven interactions of Twitter users using the multiplex network model (Dickison et al., 2016) .  ... 
doi:10.3389/fdata.2019.00009 pmid:33693332 pmcid:PMC7931960 fatcat:ruc6jfyyr5brbcpjjq7o43y5lq
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