Results 31 to 40 of about 73,191 (271)

Real-Time Recommendation of Streamed Data [PDF]

, 2015
This tutorial addressed two trending topics in the field of recommender systems research, namely A/B testing and real-time recommendations of streamed data.
Heintz, Tobias, Hopfgartner, Frank, Kille, Benjamin, Turrin, Roberto   +3 more
core   +1 more source

Generic system architecture for context-aware, distributed recommendation [PDF]

, 2017
In the existing literature on recommender systems, it is difficult to find an architecture for large-scale implementation. Often, the architectures proposed in papers are specific to an algorithm implementation or a domain.
Shah, Neel Harish
core   +1 more source

Exploiting synergy between ontologies and recommender systems [PDF]

, 2002
Recommender systems learn about user preferences over time, automatically finding things of similar interest. This reduces the burden of creating explicit queries.
Alani, Harith, Middleton, Stuart E., Roure, David C. De, Shadbolt, Nigel R.   +3 more
core   +3 more sources

Improving electronic customers' profile in recommender systems using data mining techniques [PDF]

Management Science Letters, 2011
Recommender systems are tools for realization one to one marketing. Recommender systems are systems, which attract, retain, and develop customers. Recommender systems use several ways to make recommendations.
Mohammad Julashokri, Mohammad Fathian, Mohammad Reza Gholamian, Ahmad Mehrbod   +3 more
doaj  

Geosocial recommender systems [PDF]

, 2015
Daily life is full of location-related decisions: where to go on vacation, which house to buy, which job to apply for, etc. These decisions are not only influenced by the characteristics of this holiday home, house, or company, but also by the region it is located in.
openaire   +2 more sources

The transformative power of recommender systems in enhancing citizens’ satisfaction: Evidence from the Moroccan public sector [PDF]

Innovative Marketing
The study aims to specifically evaluate the potential impact of implementing AI-powered recommender systems on citizen satisfaction within Moroccan public services.
Ouissale El Gharbaoui, Hayat El Boukhari, Abdelkader Salmi   +2 more
doaj   +1 more source

The state-of-the-art in personalized recommender systems for social networking [PDF]

, 2011
With the explosion of Web 2.0 application such as blogs, social and professional networks, and various other types of social media, the rich online information and various new sources of knowledge flood users and hence pose a great challenge in terms of ...
Cox, Clive, Josang, Audun, Li, Yuefeng, Xu, Yue, Zhou, Xujuan   +4 more
core   +3 more sources

Quantum Recommendation Systems

, 2016
22 ...
Kerenidis, Iordanis, Prakash, Anupam
openaire   +5 more sources

Artificial Neural Networks and Particle Swarm Optimization Algorithms for Preference Prediction in Multi-Criteria Recommender Systems

Informatics, 2018
Recommender systems are powerful online tools that help to overcome problems of information overload. They make personalized recommendations to online users using various data mining and filtering techniques.
Mohamed Hamada, Mohammed Hassan
doaj   +1 more source

Improving information filtering via network manipulation [PDF]

, 2012
Recommender system is a very promising way to address the problem of overabundant information for online users. Though the information filtering for the online commercial systems received much attention recently, almost all of the previous works are ...
, , An Zeng, Fuguo Zhang, Herlocker J. L., Qiu T., Salton G., Yang H., Zeng A., Zeng A., Zhou T.   +10 more
core   +2 more sources