A survey of recommendation systems

S Malik, A Rana, M Bansal - Information Resources Management …, 2020 - igi-global.com
Today's internet is able to discover almost any product or piece of information. The large
amounts of unfiltered information returned by an internet query calls for filters able to …

Vetaverse: A survey on the intersection of Metaverse, vehicles, and transportation systems

P Zhou, J Zhu, Y Wang, Y Lu, Z Wei, H Shi… - arXiv preprint arXiv …, 2022 - arxiv.org
Since 2021, the term" Metaverse" has been the most popular one, garnering a lot of interest.
Because of its contained environment and built-in computing and networking capabilities, a …

Restaurant recommendation system for user preference and services based on rating and amenities

RM Gomathi, P Ajitha, GHS Krishna… - … Intelligence in Data …, 2019 - ieeexplore.ieee.org
Recommendation systems are being enforced to offer personalized set of services to the
users. They are basically build to produce recommendations or suggestions (like …

[PDF][PDF] Vetaverse: A survey on the intersection of metaverse, vehicles, and transportation systems

P Zhou, J Zhu, Y Wang, Y Lu, Z Wei, H Shi… - arXiv preprint arXiv …, 2023 - researchgate.net
Since 2021, the term “Metaverse” has been the most popular one, garnering a lot of interest.
Because of its contained environment and built-in computing and networking capabilities, a …

Context-based awareness in location recommendation system to enhance recommendation quality: A review

S Setiowati, TB Adji, I Ardiyanto - … International Conference on …, 2018 - ieeexplore.ieee.org
Location recommendation system always involves huge volumes of data, therefore causes
the scalability issues which not only increased processing time but cause reduced accuracy …

[PDF][PDF] Revenue Factors, Service Quality and Location Affect Consumer Purchasing Decisions In Mediating Prices and Product Dealers Products Toyota PT. Hadji …

TPH Kalla - American Journal of Humanities and Social Sciences …, 2022 - ajhssr.com
This research aims to explain and analyze the influence of revenue, service quality and
location on customer purchase decisions in mediating prices and products to bridge the gap …

Recurrent ALBERT for recommendation: A hybrid architecture for accurate and lightweight restaurant recommendations

AJ Keya, SA Arpona, MM Kabir… - Cognitive Computation …, 2023 - Wiley Online Library
The online recommendation system has benefited the traditional restaurant business
economically. However, finding the best restaurant during rush time and visiting new places …

Restaurant recommendation in vehicle context based on prediction of traffic conditions

Z Wang, J Liu, S Shen, M Li - International Journal of Pattern …, 2021 - World Scientific
Restaurant recommendation is one of the most recommendation problems because the
result of recommendation varies in different environments. Many methods have been …

Ontology-based recommender system for sport events

Q Nguyen, LNT Huynh, TP Le, TC Chung - Proceedings of the 13th …, 2019 - Springer
Sport event participation has changed much recently with effective support of technology.
Advanced developments in recommender systems and World Wide Web bring chances …

Restaurant recommendation system based on novel approach using k-means and Naïve Bayes classifiers

S Joshi, J Dubey - Proceedings of the Global AI Congress 2019, 2020 - Springer
Human opinion has become the most useful metric for recommendation systems in recent
years. Before buying any product, we are looking for ratings. Growth in social media has …