Personalized advertising computational techniques: A systematic literature review, findings, and a design framework
I Viktoratos, A Tsadiras - Information, 2021 - mdpi.com
This work conducts a systematic literature review about the domain of personalized
advertisement, and more specifically, about the techniques that are used for this purpose …
advertisement, and more specifically, about the techniques that are used for this purpose …
Combining community-based knowledge with association rule mining to alleviate the cold start problem in context-aware recommender systems
Abstract Successful Location-Based Services should offer accurate and timely information
consumption recommendations to their customers, relevant to their contextual situation. To …
consumption recommendations to their customers, relevant to their contextual situation. To …
Towards the significance of taxi recommender systems in smart cities
R Katarya - Concurrency and Computation: Practice and …, 2023 - Wiley Online Library
Since their launch in the early 1990's, recommender systems (RSs) have played an
essential role in information filtering and providing personalized information to users by …
essential role in information filtering and providing personalized information to users by …
A machine learning approach for solving the frozen user cold-start problem in personalized mobile advertising systems
I Viktoratos, A Tsadiras - Algorithms, 2022 - mdpi.com
A domain that has gained popularity in the past few years is personalized advertisement.
Researchers and developers collect user contextual attributes (eg, location, time, history …
Researchers and developers collect user contextual attributes (eg, location, time, history …
A systematic review of group recommender systems techniques
R Katarya - 2017 International conference on intelligent …, 2017 - ieeexplore.ieee.org
Since their origin in 1990's, recommender systems have changed the intelligence of both
human and web. Many research articles have been published in various domains of …
human and web. Many research articles have been published in various domains of …
[PDF][PDF] Studi Kelayakan Penerapan Web Map** System Menggunakan Metode Telos (Studi Kasus: Kelompok Tani Harjo dan Rahayu)
Studi kelayakan penerapan sistem dilakukan untuk menilai apakah sistem yang
dikembangkan layak untuk diimplementasikan. Pada paper ini dilakukan penilaian …
dikembangkan layak untuk diimplementasikan. Pada paper ini dilakukan penilaian …
Rule-based effective collaborative recommendation using unfavorable preference
The biggest challenge in collaborative filtering recommendation system research is data
sparsity; it mainly occurs as user rates very few items from widely available options. Data …
sparsity; it mainly occurs as user rates very few items from widely available options. Data …
Location based context aware recommender system through user defined rules
S Sharma, D Kaur - International Conference on Computing …, 2015 - ieeexplore.ieee.org
Recommender systems are a subclass of information filtering system and are widely used in
the ecommerce domain [13]. They filter huge amount of data to provide personalized …
the ecommerce domain [13]. They filter huge amount of data to provide personalized …
Context-aware tourism technologies
Nowadays travellers can benefit from the computing capabilities, collection of on board
sensors and ubiquitous Internet access provided by mobile devices. These are the three …
sensors and ubiquitous Internet access provided by mobile devices. These are the three …
Desiderata for intelligent maps: a multiperspective compilation
Interactive digital maps are useful for illustrating and analyzing geographic data and are
used for diverse purposes (eg, wayfinding, data journalism, data analysis, and citizen …
used for diverse purposes (eg, wayfinding, data journalism, data analysis, and citizen …