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Cloud-Based Remote Venue Recommendation Framework

Ms. Sonawane K. C., Ms. Ponde S. S.
2017 IJARCCE  
In this work, introduced Cloud-based Bi-Objective Recommendation Framework (BORF) for mobile social networks.  ...  The results of comprehensive experiments on a large area real dataset confirm the accuracy of the proposed recommendation framework.  ...  In this paper, introduced Cloud-based Bi-Objective Recommendation Framework (BORF) for mobile social networks.  ... 
doi:10.17148/ijarcce.2017.6119 fatcat:ite6zbglgzgjndfk4a2ejoxyqa

Multi-modal Representation Learning for Successive POI Recommendation

Lishan Li, Ying Liu, Jianping Wu, Lin He, Gang Ren
2019 Asian Conference on Machine Learning  
Successive POI recommendation is a fundamental problem for location-based social networks (LBSNs).  ...  We further propose a multi-modal representation learning model based on the graph to jointly learn POI and user representations.  ...  based on MMR for POI recommendation. • We conduct extensive experimental evaluations based on a public dataset.  ... 
dblp:conf/acml/LiLWHR19 fatcat:bjujscws2vfo5bzb425dotanfi

Performing item-based recommendation for mining multi-source big data by considering various weighting parameters

Venkatesan Thillainayagam, Saravanan Kunjithapatham, Ramkumar Thirunavukarasu
2018 International Journal of Engineering & Technology  
For a multi-source data environment, the proposed strategies would be effective for validating the active user rating for a target item.  ...  In such circumstances, a multi-state business organi-zation would like to analyze their consumer preferences and enhance their decision-making activities based on the taste/preferences obtained from diversified  ...  Also it has the ability to predict whether a particular user would prefer an item or not based on the user's profile.  ... 
doi:10.14419/ijet.v7i4.16002 fatcat:dpltic57jjchjbdv5jywb6khs4

A Novel Approach for Making Recommendation using Skyline Query based on user Location and Preference

Sanket Shah, Amit Thakkar, Sonal Rami
2016 Indian Journal of Science and Technology  
Skyline query using recommendation system mainly used location-based services to find the nearest location, based on user preference.  ...  Location-based Service finds the nearest location based on user preferences but not provide location based on similarity and rating. So, the user is not satisfied by the given result.  ...  Skyline is more useful to recommend the user location based on his/her preferences.  ... 
doi:10.17485/ijst/2016/v9i30/99075 fatcat:q6qzs4qvafd45hv24tm4exiyme

A proactive personalised mobile recommendation system using analytic hierarchy process and Bayesian network

Kam Fung Yeung, Yanyan Yang, David Ndzi
2012 Journal of Internet Services and Applications  
A news recommendation application has been implemented on the developed JHPeer framework, which proactively pushes relevant news based on the users' contextual information.  ...  The paper also proposes a strategy for using Bayesian networks for recommendation services.  ...  Content-based approach pushes recommendations to a user based on user's history. Similar recommendations that a user preferred (pushed and read) in the past will be pushed.  ... 
doi:10.1007/s13174-012-0061-3 fatcat:w2iy6iradzeefi3uwukninihpi

Reputation in User Profiling for a Context-aware MultiAgent System

Virginia Fuentes, Nayat Sánchez Pi, Javier Carbó, José Manuel Molina
2006 European Workshop on Multi-Agent Systems  
These applications should be here understood as ones where mobile services, whichever they are, are provided to the final user in a distributed (agent-based) and personalized way.  ...  This paper aims at advancing one of the key elements in context-aware services that will make feasible the development of advanced applications of personalized agents: user profiles.  ...  3: High level conceptualization ontology for context-aware multi-agent system Framework Location Location Figure 4 : 4 Figure 4: Example domain application Framework Figure 5 : 5 Figure 5: Example  ... 
dblp:conf/eumas/FuentesPCM06 fatcat:j6kebcd7b5d7fkud6ivik2crim

Intelligent System for Real-Time Traffic Recommendations

Pedro Pérez, César Cárdenas, Jorge Ramírez
2014 Research in Computing Science  
This information is given to an agent-based app that, supported on the preferences and needs of the user, presents recommendations of optimal routes.  ...  This paper proposes a multi-agent system able to make recommendations of travel routes in real time.  ...  For the agent platform we use JADE. JADE (Java Agent Development Framework) is a framework based on Java for the development of distributed multiagent applications.  ... 
doi:10.13053/rcs-76-1-12 fatcat:q56ytva3nvd2jd42zkturfkbmi

Creating Personalized Recommendations in a Smart Community by Performing User Trajectory Analysis through Social Internet of Things Deployment

Guang Xing Lye, Wai Khuen Cheng, Teik Boon Tan, Chen Wei Hung, Yen-Lin Chen
2020 Sensors  
Due to this extensive connection of heterogeneous objects, generating a suitable recommendation for users becomes very difficult.  ...  The novel contribution of this study is the development of a unique personalized recommender engine that is based on the knowledge–desire–intention model and is suitable for service discovery in a smart  ...  The user or object preferences are fed into a belief system, which is based on the belief-desire-intention (BDI) model.  ... 
doi:10.3390/s20072098 pmid:32276431 pmcid:PMC7181154 fatcat:nflvgee54ze6rox2bbxlogiryi

An Efficient Approach of Travel Recommendation Model from High Dimensional Databases – A Survey

S. P. Gayathri
2018 International Journal for Research in Applied Science and Engineering Technology  
Based on users' traveling preferences elicited from their travel experiences exposed on social media sites by sharing geo tagged photos, we propose a new method for recommending tourist locations that  ...  We obtain user-specific travel preferences from his/her travel history in one city and use these to recommend tourist locations in another city.  ...  user to make recommendation and user preferences using preference to selected user algorithm top-k rank location are reappearance recommend as the user.  ... 
doi:10.22214/ijraset.2018.4225 fatcat:girdkmqwnrf6vfwl3mxsxzcbem

Collaborative Location Recommendation by Integrating Multi-dimensional Contextual Information

Lina Yao, Quan Z. Sheng, Xianzhi Wang, Wei Emma Zhang, Yongrui Qin
2018 ACM Transactions on Internet Technology  
Based on the model, we further improve the recommendation accuracy by utilizing the internal relations within users and locations to regularize the latent factors.  ...  In this paper, we propose a collaborative ltering method based on Tensor Factorization, a generalization of the Matrix Factorization approach, to model the multi-dimensional contextual information.  ...  It predicts a user's preferences on a target location by taking her preferences on similar locations into account [35] and Jaccard similarity for calculating the preference of similar users. FA.  ... 
doi:10.1145/3134438 fatcat:cqyd6inu7jemlnputrltmwvao4

MTPR: A Multi-Task Learning Based POI Recommendation Considering Temporal Check-Ins and Geographical Locations

Bin Xia, Yuxuan Bai, Junjie Yin, Qi Li, Lijie Xu
2020 Applied Sciences  
In this paper, we propose a multi-task learning model based POI recommender system which exploits a structure of generative adversarial networks (GAN) simultaneously considering temporal check-ins and  ...  However, due to the differences between LBSNs and conventional recommendation tasks, besides the user feedback, the spatio-temporal information is also significant to precisely capture the user preferences  ...  Third, it is necessary to simultaneously consider the user preference and geographical influence in POI recommendations, which should be a multi-objective optimization to balancing the trade-off between  ... 
doi:10.3390/app10196664 fatcat:7inzkhfcr5afppwphjcvkup5vu

Personalized Web Service Recommendation Method Based on Hybrid Social Network and Multi-Objective Immune Optimization

Huashan Cao
2021 Journal of Information Processing Systems  
on a hybrid social network and multi-objective immune optimization.  ...  Then, according to the proposed service recommendation framework, multi-objective immune optimization is used to fuse multiple attributes and provide personalized web services for users without adjusting  ...  This paper establishes a web service recommendation framework based on HSN and proposes a personalized web service recommendation method based on an HSN and multi-objective immune optimization.  ... 
doi:10.3745/jips.01.0071 dblp:journals/jips/Cao21 fatcat:ush73ks6h5bdtggz5yydjd7zg4

Multi-Objective Optimization Based Location and Social Network Aware Recommendation

Makbule Gulcin Ozsoy, Faruk Polat, Reda Alhajj
2014 Proceedings of the 10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing  
In this paper, a location and social network aware recommender system enhanced with multi objective filtering is proposed and described.  ...  Social networks, personal blog pages, on-line transaction web-sites, expertise web pages and location based social networks provide an attractive platform for millions of users to share opinions, comments  ...  Multi Objective Recommender Systems Most of the recommender systems are based on single criterion, such that they aim to evaluate a given item based on overall rating.  ... 
doi:10.4108/icst.collaboratecom.2014.257382 dblp:conf/colcom/OzsoyPA14 fatcat:7h3fgffewnexhpqjrhxt74ar6y

An Architecture for Developing Educational Recommender Systems

Maritza Bustos-López, Raquel Vásquez-Ramírez, Giner Alor-Hernández
2015 Research in Computing Science  
Recommender systems are a tool to help student find information quickly and recommend new items of interest to the active student based on their preferences.  ...  These features are important components to achieve the objectives that have educational recommender systems in order to provide accurate information to students according to their preferences, user profile  ...  These initiatives suffer from several drawbacks, such as: (a) Some works are based on the use of learning object as items to be recommended; (b) the multi-domain works use only one algorithm for the all  ... 
doi:10.13053/rcs-106-1-2 fatcat:funsqzfqvvcdxh54mh45vi7hhe

Global Multi-Source Information Fusion Management and Deep Learning Optimization for Tourism

Xue Yu
2022 Journal of Organizational and End User Computing  
Then, the interest point recommendation framework based on convolutional neural network (IPRC) is established.  ...  The semantic and emotional information in the comment text is extracted to identify user preferences, and the score of interest points in the target location is predicted combined with the influence factors  ...  Location based services (LBS) is a value-added service based on the user's location.  ... 
doi:10.4018/joeuc.294902 fatcat:o5dym52ibrhfvgdsoiruz3efy4
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