Results 11 to 20 of about 3,592,441 (346)

Enhancing Library Digitalization: A Heterogeneous Network Embedding Approach for Personalized Book Recommendations

open access: goldIEEE Access
Book recommendations are crucial in digital library transformation, enhancing service sophistication and customization. They allow readers to access books tailored to their specific interests.
Yafeng Kong
doaj   +2 more sources

Implementation of Ksatria Story Book in Embedding Leadership Character Values in Children 5-6 Years Old

open access: diamondEarly Childhood Education Papers, 2020
One of the character problems in early childhood is the lack of ability to be responsible, communicate, and cooperate. These three main behaviors are characteristics of leadership behavior.
Sinthia Nurul Fitri, Edi Waluyo
doaj   +3 more sources

A graph neural network recommendation algorithm based on multi-scale attention and contrastive learning [PDF]

open access: yesScientific Reports
When facing sparse user–item interaction data, recommendation systems often struggle to learn high-quality representations, which in turn affects the recommendation performance.
Dongqi Pu   +4 more
doaj   +2 more sources

Oriented Book Embeddings

open access: green, 2016
9 pages, 5 ...
Stacey McAdams, Jinko Kanno
openalex   +4 more sources

The Book Embedding Problem from a SAT-Solving Perspective

open access: bronzeInternational Symposium Graph Drawing and Network Visualization, 2015
Michael A. Bekos   +2 more
openalex   +2 more sources

Book Review: Embeddings in manifolds [PDF]

open access: goldBulletin of the American Mathematical Society, 2011
J. W. Cannon
openalex   +4 more sources

Realised Volatility Forecasting: Machine Learning via Financial Word Embedding [PDF]

open access: yesSocial Science Research Network, 2021
We develop FinText, a novel, state-of-the-art, financial word embedding from Dow Jones Newswires Text News Feed Database. Incorporating this word embedding in a machine learning model produces a substantial increase in volatility forecasting performance ...
Eghbal Rahimikia, Stefan Zohren, S. Poon
semanticscholar   +1 more source

Book Embeddings of Graph Products

open access: green, 2020
A $k$-stack layout (also called a $k$-page book embedding) of a graph consists of a total order of the vertices, and a partition of the edges into $k$ sets of non-crossing edges with respect to the vertex order. The stack number (book thickness, page number) of a graph is the minimum $k$ such that it admits a $k$-stack layout.
Sergey Pupyrev
openalex   +4 more sources

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