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Academic Articles & Research Papers
Showing 11 of 11 academic articles
ZHANG Haobo, XUE Feng, LIU Kai • Jisuanji gongcheng
(2021)
To effectively use the user-item interaction history and auxiliary information in recommendation systems,this paper proposes an improved collaborative filtering recommendation algorithm.Based on semi-autoencoder,the features of auxiliary in...
DOAJ
Open Access (DOAJ)
DOI: 10.19678/j.issn.1000-3428.0056700
Jie Ding, Lingyan Weng, Lili Fan, Peixue Liu • PeerJ Computer Science
(2024)
Tourism demand projection is paramount for both corporate operations and destination management, facilitating tourists in crafting bespoke, multifaceted itineraries and enriching their vacation experiences. This study proposes a multi-layer...
DOAJ
Open Access (DOAJ)
DOI: 10.7717/peerj-cs.2329
Martin P. Robillard, Thomas Philipp Zimmermann, Robert J. Walker, Walid Maalej • Springer eBooks
(2014)
OPENALEX
DOI: https://doi.org/10.1007/978-3-642-45135-5
Martin P. Robillard, Robert J. Walker, Thomas Zimmermann • IEEE Software
(2009)
Software development can be challenging because of the large information spaces that developers must navigate. Without assistance, developers can become bogged down and spend a disproportionate amount of their time seeking information at th...
OPENALEX
DOI: https://doi.org/10.1109/ms.2009.161
Yue Zhao • Discover Artificial Intelligence
(2026)
Abstract The growing variety of student profiles in higher education has made it more important than ever to have smart systems that can change learning experiences on the job. Current recommendation algorithms fail to capture the complex r...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44163-026-01500-z
Qingyang Xiao, Kaiyuan Liu, Yuhui Hong, Haixu Tang • ACS in focus
(2024)
In recent years, breakthroughs in artificial intelligence (AI) have dramatically transformed many fields. Developments in neural networks primarily drive the advances. These powerful models have demonstrated unprecedented capabilities in le...
OPENALEX
DOI: https://doi.org/10.1021/acsinfocus.7e8012
Ian Goodfellow, Yoshua Bengio, Aaron C. Courville • The MIT Press eBooks
(2016)
Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human c...
OPENALEX
DOI: https://doi.org/10.1016/b978-0-12-804291-5.00010-6
Ethem Alpaydın (2016)
A concise overview of machine learning -- computer programs that learn from data -- which underlies applications that include recommendation systems, face recognition, and driverless cars....
OPENALEX
Arfat Ahmad Khan, Muhammad Asif Nauman, Rab Nawaz Bashir, Rashid Jahangir et al. • IEEE Access
(2022)
Accurate Evapotranspiration for saline soils (ETs) is important as well as challenging for the reclamation of saline soils through an effective leaching process. Evapotranspiration (ET) by FAO-56 Penman-Monteith standard method is complex, ...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2022.3206009
Ramón Sanguino, Nilgün Çağlarırmak Uslu, Pınar Karahan-Dursun, Caner Özdemir et al. • World
(2025)
Education–employment mismatch represents a persistent structural issue across Europe, especially among young people. In line with the digital transformation, green transformation and population aging, new jobs are emerging every day, and so...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/world6040143
Yu Wang • Discover Artificial Intelligence
(2026)
Abstract Adaptive digital therapies are needed with increasing rates of youth anxiety. However, existing systems lack personalization and dynamic learning. To solve this, the proposed research is to build a personalized ideological content ...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44163-026-01840-w