Research - Revision history

Kelab at 10:35, 15 March 2026

2026-03-15T10:35:47Z

← Older revision		Revision as of 19:35, 15 March 2026
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	== Physics-informed Neural Network for Spatial Reasoning ==		== Physics-informed Neural Network for Spatial Reasoning ==
	* Target application: Anomaly detection		* Target application: Anomaly detection

			== Computational social choice ==
			* Game theoretical approach
			* Socio-temporal method

	== TubePlunger: Understanding Political Polarities of Korean Political YouTube Channels ==		== TubePlunger: Understanding Political Polarities of Korean Political YouTube Channels ==

Kelab at 10:34, 15 March 2026

2026-03-15T10:34:21Z

← Older revision		Revision as of 19:34, 15 March 2026
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			== Physics-informed Neural Network for Spatial Reasoning ==
			* Target application: Anomaly detection

			== TubePlunger: Understanding Political Polarities of Korean Political YouTube Channels ==
			* Collecting data from Korean Political Youtube Channels.
			* Measuring and visualizing user activity.
			* Annotating comments sentiment.
			* Project website [15]

	== Finding Li Bai ==		== Finding Li Bai ==

	* Project website [1]		* Project website [1]
	* Video []		* Video []
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	== AI-enabled Dynamic Game Balancing ==		== AI-enabled Dynamic Game Balancing ==

	* Project website [2]		* Project website [2]
	* Video []		* Video []

	== Search Engine Optimization ==		== Search Engine Optimization ==

	* Project website [3]		* Project website [3]
	* Video []		* Video []

	== OurMovieSimilarity: Cognitive Similarity-based Recommendation ==		== OurMovieSimilarity: Cognitive Similarity-based Recommendation ==

	* How to measure the cognitive similarity between users?		* How to measure the cognitive similarity between users?
	* This research aims to explore the cognitive similarity between users, then we can define the most similar user for the active user. The cognition of users is defined as their priority when they identify similar items. In particular, a movie domain is used as a case study to prove our model.		* This research aims to explore the cognitive similarity between users, then we can define the most similar user for the active user. The cognition of users is defined as their priority when they identify similar items. In particular, a movie domain is used as a case study to prove our model.
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	* Project website [[http://recsys.cau.ac.kr:8095/ 14]]		* Project website [[http://recsys.cau.ac.kr:8095/ 14]]
	* Video []		* Video []

	~~== TubePlunger: Understanding Political Polarities of Korean Political YouTube Channels ==~~

	* Collecting data from Korean Political Youtube Channels.
	* Measuring and visualizing user activity.
	* Annotating comments sentiment.
	* Project website [15]

Kelab: /* SocioScope: a Framework for Capturing Internet of Social Knowledge */

2022-08-29T02:37:48Z

SocioScope: a Framework for Capturing Internet of Social Knowledge

← Older revision		Revision as of 11:37, 29 August 2022
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	* Video [9]		* Video [9]

	== ~~SocioScope~~: a Framework for Capturing Internet of Social Knowledge ==		== SocioPedia: a Framework for Capturing Internet of Social Knowledge ==

	* ~~Social data is one of important material for representing social activities. However~~, ~~efficiently collecting social data from multiple sources~~ is ~~extremely hard due its big~~-~~data attributes~~. ~~Moreover, discovering hidden patterns between social data~~ to ~~understand our society is actually~~ a ~~big challenge. Especially, knowledge around us is not stable but dynamically change over~~ time, ~~therefore, we need~~ to ~~refresh it promptly. SocioScope is created as an automatically tool to overcome aforementioned problems~~. ~~In addition~~, ~~other researchers can utilize SocioScope as~~ a ~~framework for reducing their effort time with essential tasks (i.e., collecting data, pre~~-~~processing data~~, and ~~analyzing~~ data).		* We introduce SocioPedia, which is a real-time knowledge graph completion system using up-to-date extracted knowledge from social networks. SocioPedia aims to perform a real-time automatic light-weight data collection, extract reliable and highly interconnected up-to-date knowledge. Furthermore, SocioPedia provides a user-friendly and intuitive environment, which is optimized for user classes of knowledge graph contributors and domain experts/data analysts.
	* Project website[http://recsys.cau.ac.kr:8086/sociopedia/ <nowiki>[10]</nowiki>]		* Project website[http://recsys.cau.ac.kr:8086/sociopedia/ <nowiki>[10]</nowiki>]
	* Video [https://www.youtube.com/watch?v=EwslZdP_JUc&t=1s <nowiki>[11]</nowiki>]		* Video [https://www.youtube.com/watch?v=EwslZdP_JUc&t=1s <nowiki>[11]</nowiki>]

Kelab at 02:36, 29 August 2022

2022-08-29T02:36:33Z

← Older revision		Revision as of 11:36, 29 August 2022
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	* Social data is one of important material for representing social activities. However, efficiently collecting social data from multiple sources is extremely hard due its big-data attributes. Moreover, discovering hidden patterns between social data to understand our society is actually a big challenge. Especially, knowledge around us is not stable but dynamically change over time, therefore, we need to refresh it promptly. SocioScope is created as an automatically tool to overcome aforementioned problems. In addition, other researchers can utilize SocioScope as a framework for reducing their effort time with essential tasks (i.e., collecting data, pre-processing data, and analyzing data).		* Social data is one of important material for representing social activities. However, efficiently collecting social data from multiple sources is extremely hard due its big-data attributes. Moreover, discovering hidden patterns between social data to understand our society is actually a big challenge. Especially, knowledge around us is not stable but dynamically change over time, therefore, we need to refresh it promptly. SocioScope is created as an automatically tool to overcome aforementioned problems. In addition, other researchers can utilize SocioScope as a framework for reducing their effort time with essential tasks (i.e., collecting data, pre-processing data, and analyzing data).
	* ~~Demo~~ [http://recsys.cau.ac.kr:8086/sociopedia/ <nowiki>[10]</nowiki>]		* Project website[http://recsys.cau.ac.kr:8086/sociopedia/ <nowiki>[10]</nowiki>]
	* Video [https://www.youtube.com/watch?v=EwslZdP_JUc&t=1s <nowiki>[11]</nowiki>]		* Video [https://www.youtube.com/watch?v=EwslZdP_JUc&t=1s <nowiki>[11]</nowiki>]

Kelab: /* SocioScope: a Framework for Capturing Internet of Social Knowledge */

2022-08-29T02:26:08Z

SocioScope: a Framework for Capturing Internet of Social Knowledge

← Older revision		Revision as of 11:26, 29 August 2022
Line 48:		Line 48:

	* Social data is one of important material for representing social activities. However, efficiently collecting social data from multiple sources is extremely hard due its big-data attributes. Moreover, discovering hidden patterns between social data to understand our society is actually a big challenge. Especially, knowledge around us is not stable but dynamically change over time, therefore, we need to refresh it promptly. SocioScope is created as an automatically tool to overcome aforementioned problems. In addition, other researchers can utilize SocioScope as a framework for reducing their effort time with essential tasks (i.e., collecting data, pre-processing data, and analyzing data).		* Social data is one of important material for representing social activities. However, efficiently collecting social data from multiple sources is extremely hard due its big-data attributes. Moreover, discovering hidden patterns between social data to understand our society is actually a big challenge. Especially, knowledge around us is not stable but dynamically change over time, therefore, we need to refresh it promptly. SocioScope is created as an automatically tool to overcome aforementioned problems. In addition, other researchers can utilize SocioScope as a framework for reducing their effort time with essential tasks (i.e., collecting data, pre-processing data, and analyzing data).
	* Demo [10]		* Demo [http://recsys.cau.ac.kr:8086/sociopedia/ <nowiki>[10]</nowiki>]
	* Video [11]		* Video [https://www.youtube.com/watch?v=EwslZdP_JUc&t=1s <nowiki>[11]</nowiki>]

	== StoryQ: from Quantizing to Understanding Stories ==		== StoryQ: from Quantizing to Understanding Stories ==

Kelab: Created page with " == Finding Li Bai == * Project website [1] * Video [] * Description == AI-enabled Dynamic Game Balancing == * Project website [2] * Video [] == Search Engine Optimization == * Project website [3] * Video [] == OurMovieSimilarity: Cognitive Similarity-based Recommendation == * How to measure the cognitive similarity between users? * This research aims to explore the cognitive similarity between users, then we can define the most similar user for the active user. T..."

2022-08-26T18:33:50Z

Created page with " == Finding Li Bai == * Project website [1] * Video [] * Description == AI-enabled Dynamic Game Balancing == * Project website [2] * Video [] == Search Engine Optimization == * Project website [3] * Video [] == OurMovieSimilarity: Cognitive Similarity-based Recommendation == * How to measure the cognitive similarity between users? * This research aims to explore the cognitive similarity between users, then we can define the most similar user for the active user. T..."

New page

== Finding Li Bai ==

* Project website [1]
* Video []
* Description

== AI-enabled Dynamic Game Balancing ==

* Project website [2]
* Video []

== Search Engine Optimization ==

* Project website [3]
* Video []

== OurMovieSimilarity: Cognitive Similarity-based Recommendation ==

* How to measure the cognitive similarity between users?
* This research aims to explore the cognitive similarity between users, then we can define the most similar user for the active user. The cognition of users is defined as their priority when they identify similar items. In particular, a movie domain is used as a case study to prove our model.
* Project website [4]
* Video []

== Dakgalbi: Scalable Recommendation Framework based on Information Fusion ==

* Data is represented as a matrix. There have many kinds of matrix based on the types of data. DakGalBi system is able to process the matrix by incremental consolidation. The more data it has received, the more accurate it produces the predictions.
* Project website [5]
* Video []

== Sports Data Analytics ==

* Project website [6]
* Video []

== BIBIDA: Big Bibliography Data Analytics ==

* Project website [7]
* Video []

== Computational Negotiation (CompNego): From the Internet of Things to the Internet of Agents ==

* With the development of the Internet of Things (IoT), a new concept is introduced, which is named Internet of Agent (IoA), this concept enables connected agents into smart agents which include three conceptual standpoints: Identification, Communication, and Interaction. Our research focuses on the interaction of smart agents in terms of computational negotiation which is able to apply various domains such as smart transportation, smart home, and so on.
* Project website [8]
* Video [9]

== SocioScope: a Framework for Capturing Internet of Social Knowledge ==

* Social data is one of important material for representing social activities. However, efficiently collecting social data from multiple sources is extremely hard due its big-data attributes. Moreover, discovering hidden patterns between social data to understand our society is actually a big challenge. Especially, knowledge around us is not stable but dynamically change over time, therefore, we need to refresh it promptly. SocioScope is created as an automatically tool to overcome aforementioned problems. In addition, other researchers can utilize SocioScope as a framework for reducing their effort time with essential tasks (i.e., collecting data, pre-processing data, and analyzing data).
* Demo [10]
* Video [11]

== StoryQ: from Quantizing to Understanding Stories ==

* This research project aims to model and analyze stories of the narrative work (i.e., artworks that contain stories) computationally. Our previous studies on this area are mainly based on the character network (i.e., social networks between characters that appear in the narrative work).
* Project website [12]

== Social RecSys ==

* This is extended from MyMovieHistory project.
* This application is personal diary about movie watching history, and you can see many information about the movies, analyzed your history using PC and Mobile.

== MyMovieHistory ==

* Collecting and analyzing personal lifelogging data on movies
* Personalized recommender services on movies
* MyMovieHistory WEBSITE

== CoCharNet: Extracting Social Networks using Character Co-occurrence in Movies ==

* Video [13]

== Meet words: Out-Of-Vocabulary (OOV) Meaning finder ==

* Project website [[http://recsys.cau.ac.kr:8095/ 14]]
* Video []

== TubePlunger: Understanding Political Polarities of Korean Political YouTube Channels ==

* Collecting data from Korean Political Youtube Channels.
* Measuring and visualizing user activity.
* Annotating comments sentiment.
* Project website [15]