Recommender systems for smart cities

L Quijano-Sánchez, I Cantador, ME Cortés-Cediel… - Information systems, 2020 - Elsevier
Among other conceptualizations, smart cities have been defined as functional urban areas
articulated by the use of Information and Communication Technologies (ICT) and modern …

Recommender systems for e-governance in smart cities: State of the art and research opportunities

ME Cortés-Cediel, I Cantador, O Gil - Proceedings of the international …, 2017 - dl.acm.org
E-governance can be considered as the core and most important challenge of smart cities
initiatives. It refers to the use of information and communication technologies in the public …

Analysis and classification of multi-criteria recommender systems

N Manouselis, C Costopoulou - World Wide Web, 2007 - Springer
Recent studies have indicated that the application of Multi-Criteria Decision Making (MCDM)
methods in recommender systems has yet to be systematically explored. This observation …

Comparing the performance of traditional cluster analysis, self-organizing maps and fuzzy C-means method for strategic grouping

C Budayan, I Dikmen, MT Birgonul - Expert Systems with Applications, 2009 - Elsevier
Strategic group analysis comprises of clustering of firms within an industry according to their
similarities with respect to a set of strategic dimensions and investigating the performance …

Ranked k-medoids: A fast and accurate rank-based partitioning algorithm for clustering large datasets

SMR Zadegan, M Mirzaie, F Sadoughi - Knowledge-Based Systems, 2013 - Elsevier
Clustering analysis is the process of dividing a set of objects into none-overlapping subsets.
Each subset is a cluster, such that objects in the cluster are similar to one another and …

One-and-only item recommendation with fuzzy logic techniques

C Cornelis, J Lu, X Guo, G Zhang - Information sciences, 2007 - Elsevier
Recommender systems anticipate users' needs by suggesting items that are likely to interest
them. Most existing systems employ collaborative filtering (CF) techniques, searching for …

Experimental analysis of design choices in multiattribute utility collaborative filtering

N Manouselis, C Costopoulou - International Journal of Pattern …, 2007 - World Scientific
Recommender systems have already been engaging multiple criteria for the production of
recommendations. Such systems, referred to as multicriteria recommenders, demonstrated …

Sequence-based clustering for Web usage mining: A new experimental framework and ANN-enhanced K-means algorithm

S Park, NC Suresh, BK Jeong - Data & Knowledge Engineering, 2008 - Elsevier
We develop a general sequence-based clustering method by proposing new sequence
representation schemes in association with Markov models. The resulting sequence …

Developing smart city services using intent‐aware recommendation systems: A survey

W Rafique, AS Hafid, J Qadir - Transactions on Emerging …, 2023 - Wiley Online Library
Smart cities could be defined as urban areas that use Information and Communication
Technology (ICT) to solve city problems in efficient and sustainable ways. Intent‐aware …

Research of fast SOM clustering for text information

Y Liu, C Wu, M Liu - Expert Systems with Applications, 2011 - Elsevier
The state-of-the-art text clustering methods suffer from the huge size of documents with high-
dimensional features. In this paper, we studied fast SOM clustering technology for Text …