Results 51 to 60 of about 25,654,881 (342)

Collaborative Recommendation System For Agriculture Sector [PDF]

ITM Web of Conferences, 2020
Agriculture is one of the most important sector in India and the farmers are one of the most essential members of society. The major economy of the country comes from the agricultural sector. Though there is no end to the woes of Indian Farmers.
Jaiswal Sapna, Kharade Tejaswi, Kotambe Nikita, Shinde Shilpa   +3 more
doaj   +1 more source

Dominance of AI and Machine Learning Techniques in Hybrid Movie Recommendation System Applying Text-to-number Conversion and Cosine Similarity Approaches

Journal of Computer Science and Technology Studies
This research explored movie recommendation systems based on predicting top-rated and suitable movies for users. This research proposed a hybrid movie recommendation system that integrates both text-to-number conversion and cosine similarity approaches ...
Md Rokibul Hasan, Janatul Ferdous MSc
semanticscholar   +1 more source

A Personalization-Oriented Academic Literature Recommendation Method

Data Science Journal, 2015
As the number of digital academic items increases dramatically, it is more and more difficult for a student or researcher to find the expected references in a large academic literature database.
Zhongya Wang, Ying Liu, Jiajun Yang, Zheng Zheng, Kaichao Wu   +4 more
doaj   +1 more source

Movie recommendation system using machine learning [PDF]

International Journal of Research in Industrial Engineering, 2020
Nowadays, the recommendation system has made finding the things easy that we need. Movie recommendation systems aim at helping movie enthusiasts by suggesting what movie to watch without having to go through the long process of choosing from a large set ...
F. Furtado, A. Singh
doaj   +1 more source

Using fuzzy logic to handle the semantic descriptions of music in a content-based retrieval system [PDF]

, 2006
This paper explores the potential use of fuzzy logic for semantic music recommendation. We show that a set of affective/emotive, structural and kinaesthetic descriptors can be used to formulate a query which allows the retrieval of intended music.
Leman, Marc, Lesaffre, Micheline
core  

A Quality Improvement Initiative to Standardize Pneumocystis jirovecii Pneumonia Prophylaxis in Pediatric Patients With Solid Tumors

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric patients with extracranial solid tumors (ST) receiving chemotherapy are at an increased risk for Pneumocystis jirovecii pneumonia (PJP). However, evidence guiding prophylaxis practices in this population is limited. A PJP‐related fatality at our institution highlighted inconsistent prescribing approaches and concerns about
Kriti Kumar, Denise M. Connolly, Ellen Kellington, Elyse Zelunka, Karla Kerrigan, Furqan Shaikh, Paul C. Nathan, Meredith S. Irwin, Sarah Cohen‐Gogo   +8 more
wiley   +1 more source

Performing Hybrid Recommendation in Intermodal Transportation – the FTMarket System’s Recommendation Module [PDF]

, 2009
Diverse recommendation techniques have been already proposed and encapsulated into several e-business applications, aiming to perform a more accurate evaluation of the existing information and accordingly augment the assistance provided to the users ...
Lazanas, Alexis
core   +1 more source

Psychosocial Outcomes in Patients With Endocrine Tumor Syndromes: A Systematic Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction The combination of disease manifestations, the familial burden, and varying penetrance of endocrine tumor syndromes (ETSs) is unique. This review aimed to portray and summarize available data on psychosocial outcomes in patients with ETSs and explore gaps and opportunities for future research and care.
Daniël Zwerus, Floortje Strobbe, Annemarie A. Verrijn Stuart, Hanneke M. van Santen, Gerlof D. Valk, Sasja A. Schepers, Rachel S. van Leeuwaarde   +6 more
wiley   +1 more source

Hybrid CNN-based Recommendation System

مجلة بغداد للعلوم
Recommendation systems are now being used to address the problem of excess information in several sectors such as entertainment, social networking, and e-commerce. Although conventional methods to recommendation systems have achieved significant success
Muhammad Alrashidi, Roliana Ibrahim, Ali Selamat   +2 more
doaj   +1 more source

Research Progress on Sequence Recommendation Based on Deep Learning and Large Language Model [PDF]

Jisuanji kexue yu tansuo
The recommendation system aims to solve the problem of overloading in the information retrieval system, and is committed to recommending personalized interest to users. The behavior of human interaction with the system has a certain order. When providing
XU Fengru, LI Bohan, XU Shuai
doaj   +1 more source