Results 81 to 90 of about 275,529 (157)
Edge-Weighted Personalized PageRank: Breaking A Decade-Old Performance Barrier [PDF]
Personalized PageRank is a standard tool for finding vertices in a graph that are most relevant to a query or user. To personalize PageRank, one adjusts node weights or edge weights that determine teleport probabilities and transition probabilities in a ...
David Bindel +3 more
core
Image target importance recognition method based on visual model and correlation algorithm [PDF]
Existing urban object detection and analysis methods still lack effective mechanisms to compute and rank semantic relevance between objects in urban scenes.
Z. Ren, L. Huo, T. Shen, F. Kong
doaj +1 more source
Due to the rapid growth of online and technology development, every people have an own mobile to search their doubts and easily find it out within a second. Hypertext induced topic search (HITS) is a link analyzed algorithm utilized to find reliable websites that satisfy broad‐topic queries.
John Vaseekaran S. +2 more
wiley +1 more source
On the Feasibility of Low-rank Approximation for
Personalized PageRank expresses backlink-based page quality around user-selected pages in a similar way to PageRank over the entire Web. Algorithms for computing personalized PageRank on the fly are either limited to a restricted choice of page selection
Personalized Pagerank Andr +3 more
core
Cross-document knowledge retrieval requires the retrieval and synthesis of evidence scattered across multiple passages linked by implicit or explicit inter-document references.
Yassine Yazidi +2 more
doaj +1 more source
Relation semantic fusion in subgraph for inductive link prediction in knowledge graphs [PDF]
Inductive link prediction (ILP) in knowledge graphs (KGs) aims to predict missing links between entities that were not seen during the training phase. Recent some subgraph-based methods have shown some advancements, but they all overlook the relational ...
Hongbo Liu +4 more
doaj +2 more sources
Traditional failure mode and effects analysis (FMEA) often overlooks interdependencies among failure modes (FMs), leading to incomplete risk assessments. This paper presents an enhanced FMEA framework that integrates Bayesian networks (BNs) and risk propagation operators to address FM interactions, introducing propagation (P) as a novel risk factor (RF)
Fei Teng +4 more
wiley +1 more source
An Application of Personalized PageRank Vectors: Personalized Search Engine
. We introduce a tool which is an application of personalized pagerank vectors such as personalized search engines. We use pre-computed pagerank vectors to rank the search results in favor of user preferences.
Mehmet S. Aktas, Mehmet A. Nacar
core
Intelligent Decision‐Making Driven by Large AI Models: Progress, Challenges and Prospects
ABSTRACT With the rapid development of large AI models, large decision models have further broken through the limits of human cognition and promoted the innovation of decision‐making paradigms in extensive fields such as medicine and transportation. In this paper, we systematically expound on the intelligent decision‐making technology and prospects ...
You He +9 more
wiley +1 more source
ABSTRACT Globally, the systemic marginalisation of Indigenous Peoples has led to significant health disparities rooted in the legacy of colonisation and ongoing settler colonialism. Objective This scoping review aimed to collate oral health promotion training programmes tailored for Indigenous Health Workers (IHW), who play a pivotal role in improving ...
Madison Cachagee +6 more
wiley +1 more source

