Results 21 to 30 of about 1,181,006 (289)

A personalized and context-aware news offer for mobile devices [PDF]

open access: yes, 2016
For classical domains, such as movies, recommender systems have proven their usefulness. But recommending news is more challenging due to the short life span of news content and the demand for up-to-date recommendations.
A Følstad   +18 more
core   +1 more source

Social Navigation of Food Recipes [PDF]

open access: yes, 2001
The term Social Navigation captures every-day behaviour used to find information, people, and places – namely through watching, following, and talking to people. We discuss how to design information spaces to allow for social navigation.
Höök, Kristina   +3 more
core   +3 more sources

Privacy-Aware Data Publishing and Integration for Collaborative Service Recommendation

open access: yesIEEE Access, 2018
Item-based collaborative filtering (i.e., ICF) technique has been widely recruited to make service recommendations in the big data environment. However, the ICF technique only performs well when the data for service recommendation decision-making are ...
Chao Yan   +4 more
doaj   +1 more source

Research on Service Recommendation Method of Multi-network Hybrid Embed-ding Learning [PDF]

open access: yesJisuanji kexue yu tansuo, 2022
The network embedding method can map the network nodes to a low-dimensional vector space and ext-ract the feature information of each node effectively. In the field of service recommendation, some studies show that the introduction of network embedding ...
WANG Xuechun, LYU Shengkai, WU Hao, HE Peng, ZENG Cheng
doaj   +1 more source

Context Similarity Metric for Multidimensional Service Recommendation [PDF]

open access: yesInternational Journal of Electronic Commerce, 2013
Recommender systems support online customers by suggesting products and services of likely interest to them. Taking into consideration the context of customers is believed to produce better recommendations, yet it poses unique challenges. If a recommendation is generated through previous ratings, narrowing down the set of ratings to those under the ...
Liu, Liwei   +2 more
openaire   +4 more sources

'A light in a very dark place' : The role of a voluntary organisation providing support for those affected by encephalitis [PDF]

open access: yes, 2007
Voluntary organisations are seen as contributing to the ‘democratisation’ of health and social care. Little, however, is written about their role and this paper, by focusing on the work of The Encephalitis Society, provides insights into the challenges ...
Adamson J.   +19 more
core   +1 more source

IoT Service Recommendation Scheme Based on Matter Diffusion

open access: yesIEEE Access, 2020
With the development of Internet of Things(IoT), more and more smart devices and services appeared in people's life. These services make life more convenient, while it is difficult for people, especially the elderly, to find them in time, because they ...
Pingquan Wang
doaj   +1 more source

A Privacy-Preserving QoS Prediction Framework for Web Service Recommendation

open access: yes, 2015
QoS-based Web service recommendation has recently gained much attention for providing a promising way to help users find high-quality services. To facilitate such recommendations, existing studies suggest the use of collaborative filtering techniques for
He, Pinjia   +3 more
core   +1 more source

A Survey of User Profiling: State-of-the-Art, Challenges, and Solutions

open access: yesIEEE Access, 2019
Advancements in information and communication technology, and online web users have given attention to the virtual representation of each user, which is crucial for effective service personalization.
Christopher Ifeanyi Eke   +3 more
doaj   +1 more source

Approach to Building a Recommendation System for Libraries

open access: yesСовременные информационные технологии и IT-образование, 2023
The paper considers the possibility of building a hybrid recommendation system for the electronic library catalog in the form of a recommendation service. The following options for building recommendations were considered: collaborative filtering methods,
Yulia Leonova   +3 more
doaj   +1 more source

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