An OWA‐Based Ranking Approach for University Books Recommendation
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.21937
Abstract: Generally the book recommendation approaches are personalized in nature, that is, they utilize the users’ purchasing behavior to recommend them the book similar to their preferences. The main problem with the personalized recommendation is its… read more here.
Keywords: recommendation; owa based; ranking approach; approach ... See more keywords
Exploring the impact of SEO-based ranking factors for voice queries through machine learning
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DOI: 10.1007/s10462-024-10780-9
Abstract: The use of voice search is proliferating and expected to grow into the foreseeable future; this is why websites increasingly optimize their content associated with voice-based search to improve their ranking. In this era of… read more here.
Keywords: based ranking; voice; seo based; machine learning ... See more keywords
Fluid Antenna for Importance-Based Ranking (FAIR) Semantic Communications
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DOI: 10.1109/lcomm.2025.3532638
Abstract: This letter explores the applications of fluid antenna in wireless semantic communications, aiming to fill up a gap in existing research. In particular, this letter applies Fluid Antenna for Importance-based Ranking (FAIR) systems, which can… read more here.
Keywords: based ranking; ranking fair; importance based; fluid antenna ... See more keywords
Assertion Ranking Using RTL Source Code Analysis
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DOI: 10.1109/tcad.2019.2921374
Abstract: We present a systematic and efficient ranking method to quantify the goodness of an assertion. We model dependencies among design variables as a directed graph called a variable dependency graph. We define assertion importance and… read more here.
Keywords: based ranking; assertion ranking; coverage based; assertion ... See more keywords
A Hierarchical Parallel Graph Summarization Approach Based on Ranking Nodes
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DOI: 10.3390/app13084664
Abstract: Graph summarization techniques are vital in simplifying and extracting enormous quantities of graph data. Traditional static graph structure-based summarization algorithms generally follow a minimum description length (MDL) style, and concentrate on minimizing the graph storage… read more here.
Keywords: based ranking; graph summarization; summarization; graph ... See more keywords