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Towards a folksonomy graph-based context-aware recommender system of annotated books
The emergence of collaborative interactions has empowered users by enabling their interactions through tagging practices that create a folksonomy,...
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Using k-Means Clustering to Classify Protest Songs Based on Conceptual and Descriptive Audio Features
Protest music is a phenomenal and widely circulated form of protest art in social movements. Previous protest music research has extensively focused...
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An Audience Data-Driven Alternate Reality Storytelling Design
This case study, @LAs, made audiences the authors of exhibits as a way to unite audiences and artworks through a method of collecting their data and...
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The Role of Information Organization and Knowledge Structuring in Combatting Misinformation: A Literary Analysis
This paper seeks to explore how the three hallmark dimensions of Information Organization—(1) Access, (2) Discovery, and (3) Retrieval—each as a...
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MLSM: A Metadata Driven Learning Infused Semantics Oriented Model for Web Image Recommendation via Tags
The model proposes image recommendation method by generating tags which is the state of the art in the evolving web 3.0. Proposed model works on the...
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Coding peekaboom: a gaming mechanism for harvesting programming concepts
There are plentiful online programming resources that enable learners to develop an understanding of conceptual knowledge and practical...
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A Survey on Social Media Influence Environment and Influencers Identification
Social media users can be influenced directly by their close relationships, such as their friends, family, and colleagues. They can also be...
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A deep neural network-based hybrid recommender system with user-user networks
In today’s digital age, choosing the right product, web page, news article, or even a research paper like this one from an extensive number of...
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The role of collaborative tagging and ontologies in emerging semantic of web resources
The social web interactions have extended the sharing and the growth of web resources on the web. The collaborative web services (folksonomies)...
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Multimedia content recommendation in social networks using mood tags and synonyms
The preferences of Web information purchasers are changing. Cost-effectiveness (i.e., an emphasis on performance with respect to price) is becoming...
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An effective keyword search co-occurrence multi-layer graph mining approach
A combination of tools and methods known as "graph mining" is used to evaluate real-world graphs, forecast the potential effects of a given graph’s...
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Information Management Compliance and Governance Using SharePoint Communication Sites
Information management (IM) involves managing an organization's various processes and systems related to the acquisition, storage, and use of...
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SIITR: A Semantic Infused Intelligent Approach for Tag Recommendation
In the present-day time, Tag recommendation is of utmost importance as it heads into annotations and labeling of several entities or elements, be it...
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Correspondence between Hierarchical Knowledge Classifiers
AbstractHierarchical, descriptive, and faceted methods of constructing knowledge classifiers and also the classification of knowledge using...
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Temporal Dynamic of a Global Networked Public: A Case Study of Russian-Speaking Instagram Bloggers with Migration Background
Instagram provides users with several affordances, including enough space for bloggers to mention each other to stress the collaborative nature of...
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Tag recommendation method in folksonomy based on user tagging status
A folksonomy consists of three basic entities, namely users, tags and resources. This kind of social tagging system is a good way to index...
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A Decade of Sentic Computing: Topic Modeling and Bibliometric Analysis
Research on sentic computing has received intensive attention in recent years, as indicated by the increased availability of academic literature....
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Multilingual audio information management system based on semantic knowledge in complex environments
This paper proposes a multilingual audio information management system based on semantic knowledge in complex environments. The complex environment...
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The New Normal: Innovative Informal Digital Learning After the Pandemic
The global pandemic catalysed a large-scale shift across many sectors of education towards digital learning. This was motivated by the need to...
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Automatically Labeling Aging Scenarios with a Machine Learning Approach
Older adults have diversified needs often associated with particular aging scenarios. People started to use aging scenarios to provide better Smart...