In today’s information-rich digital age, the volume of web content available to users has become overwhelming, making it challenging for individuals to find relevant and personalized content. Recommendation systems h...
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ISBN:
(纸本)9789819747108
In today’s information-rich digital age, the volume of web content available to users has become overwhelming, making it challenging for individuals to find relevant and personalized content. Recommendation systems have emerged as a transformative solution, catering to individual users by offering customized suggestions aligned with their unique interests. This research explores a novel approach that utilizes topic modeling techniques on web content titles for recommendation purposes. Topic modeling, a subfield of natural language processing (NLP) is utilized to automatically identify latent topics within a large corpus of text. The proposed work begins by collecting a diverse dataset of web content titles across the domains. It employs a combination of other state-of-the-art topic modeling algorithms like BERTopic modeling and statistical model to uncover the underlying topics in the titles. By leveraging this approach on web content titles, aim to extract meaningful themes and categorize the content efficiently. Then preprocess the data to remove irrelevant information, ensuring that the subsequent topic modeling process yields accurate and meaningful results. This approach not only expedites the recommendation process but also conserves computational resource. Once the topics are identified, associate them with appropriate metadata, such as user preferences, and content types. This step forms the foundation of our content-based recommendation approach. Then maps the user’s interests to the most relevant topics, enabling us to present a tailored list of web content titles. By recommending content based on underlying themes rather than just keywords, this approach surpasses traditional methods, ensuring more accurate and diverse suggestions for users. The results demonstrate the system’s ability to provide highly personalized recommendations, enhancing user satisfaction and engagement. By delving into the semantic structure of content rather than relying solely on
Epilepsy, a neurological disorder characterized by recurring seizures, presents considerable challenges in diagnosis. This study proposes a novel diagnostic approach integrating Bayesian Belief Network (BBN) and Tempo...
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In the clearing process of the provincial/regional electricity spot market, large-scale zero to one decision variables and complex constraints greatly affect the computational efficiency of solving unit commitment pro...
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The technique of electromagnetic spectrum map-ping enables the revelation of spatial distribution patterns within the electromagnetic environment. Precise visualization of the location information of electromagnetic s...
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The aim of this study is to develop machine learning algorithms for predicting pathologies of the cardiovascular system, based on the enrichment and expansion of existing data sets. Various augmentation techniques wil...
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The paper introduces a generative semantic model for representing human knowledge in a way that enables computer understanding and reasoning. The current approach to semantic modeling involves mapping between the spac...
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The proceedings contain 68 papers. The special focus in this conference is on computer Aided Verification. The topics include: Rely-Guarantee Reasoning for Causally Consistent Shared Memory;unblocking Dynamic Par...
ISBN:
(纸本)9783031377051
The proceedings contain 68 papers. The special focus in this conference is on computer Aided Verification. The topics include: Rely-Guarantee Reasoning for Causally Consistent Shared Memory;unblocking Dynamic Partial Order Reduction;3D Environment modeling for Falsification and Beyond with Scenic 3.0;a Unified Model for Real-Time systems: Symbolic Techniques and Implementation;closed-Loop Analysis of Vision-Based Autonomous systems: A Case Study;hybrid Controller Synthesis for Nonlinear systems Subject to Reach-Avoid Constraints;safe Environmental Envelopes of Discrete systems;verse: A Python Library for Reasoning About Multi-agent Hybrid System Scenarios;counterexample Guided Knowledge Compilation for Boolean Functional Synthesis;Automated Analyses of IOT Event Monitoring systems;Guessing Winning Policies in LTL Synthesis by Semantic Learning;Policy Synthesis and Reinforcement Learning for Discounted LTL;synthesizing Permissive Winning Strategy Templates for Parity Games;synthesizing Trajectory Queries from Examples;learning Assumptions for Compositional Verification of Timed Automata;online Causation Monitoring of Signal Temporal Logic;process Equivalence Problems as Energy Games;commutativity for Concurrent Program Termination Proofs;fast Termination and Workflow Nets;Lincheck: A Practical Framework for Testing Concurrent Data Structures on JVM;nekton: A Linearizability Proof Checker.
Cloud is very effective technology, which works over the Internet provides services such as servers, storage, networking, workstations, virtual environment etc. This technology supports the distributed environment wit...
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This article describes the prospects of using artificial intelligence technologies, neural networks and computersystems for linguistic purposes. systems and tools capable of analyzing linguistic units or generating t...
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The proceedings contain 68 papers. The special focus in this conference is on computer Aided Verification. The topics include: Rely-Guarantee Reasoning for Causally Consistent Shared Memory;unblocking Dynamic Par...
ISBN:
(纸本)9783031377082
The proceedings contain 68 papers. The special focus in this conference is on computer Aided Verification. The topics include: Rely-Guarantee Reasoning for Causally Consistent Shared Memory;unblocking Dynamic Partial Order Reduction;3D Environment modeling for Falsification and Beyond with Scenic 3.0;a Unified Model for Real-Time systems: Symbolic Techniques and Implementation;closed-Loop Analysis of Vision-Based Autonomous systems: A Case Study;hybrid Controller Synthesis for Nonlinear systems Subject to Reach-Avoid Constraints;safe Environmental Envelopes of Discrete systems;verse: A Python Library for Reasoning About Multi-agent Hybrid System Scenarios;counterexample Guided Knowledge Compilation for Boolean Functional Synthesis;Automated Analyses of IOT Event Monitoring systems;Guessing Winning Policies in LTL Synthesis by Semantic Learning;Policy Synthesis and Reinforcement Learning for Discounted LTL;synthesizing Permissive Winning Strategy Templates for Parity Games;synthesizing Trajectory Queries from Examples;learning Assumptions for Compositional Verification of Timed Automata;online Causation Monitoring of Signal Temporal Logic;process Equivalence Problems as Energy Games;commutativity for Concurrent Program Termination Proofs;fast Termination and Workflow Nets;Lincheck: A Practical Framework for Testing Concurrent Data Structures on JVM;nekton: A Linearizability Proof Checker.
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