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A location-based news article recommendation with explicit localized semantic analysis

Jeong-Woo Son, A-Yeong Kim, Seong-Bae Park
2013 Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval - SIGIR '13  
For this purpose, we propose the Explicit Localized Semantic Analysis (ELSA), an ESA-based topical representation of documents.  ...  The interest of users in handheld devices is strongly related to their location. Therefore, the user location is important, as a user context, for news article recommendation in a mobile environment.  ...  CONCLUSION This paper proposed a localized news article recommendation with the Explicit Localized Semantic Analysis (ELSA).  ... 
doi:10.1145/2484028.2484064 dblp:conf/sigir/SonKP13 fatcat:qzn7se5vnje5nnuwnwlf7yczvq

Importance of Context in Prediction Systems of Mobile Applications

2020 International journal of recent technology and engineering  
Location based Services, Location based advertisement and several types of context have also been discussed in the paper. A general architecture of context-aware systems has also been proposed.  ...  Many systems often take into consideration the location of the user because the situation of the user generally changes with the location.  ...  [6] aims at recommending news articles to a user based on their interests. It proposes Explicit Localized Semantic Analysis (ELSA) which is and ESA-based topical representation of documents.  ... 
doi:10.35940/ijrte.f9449.038620 fatcat:6tski7rxljhldpdbff7a3bhovq

Location-Aware Personalized News Recommendation Based on Behavior and Popularity Technique

Hengane Shubham
2020 International Journal for Research in Applied Science and Engineering Technology  
The contribution work is to implement location-aware personalized news recommendation with explicit semantic analysis (LP-ESA), which recommends news using both the users' personal interests and their  ...  Then, considers the scope of the user's preferences for historical news, and propose a method to calculate the desire weight of historic news consistent with the user's analyzing behavior and the popularity  ...  The paper [14] proposed a localized news article recommendation with the Explicit Localized Semantic Analysis (ELSA).The proposed method recommends the news articles that are appropriate to the location  ... 
doi:10.22214/ijraset.2020.27921 fatcat:arvlxufr6faczfwznrfsvzumr4

Novel Semantic-Based Probabilistic Context Aware Approach for Situations Enrichment and Adaptation

Abderrahim Lakehal, Adel Alti, Philippe Roose
2022 Applied Sciences  
It proposes a new context-aware semantic-based probabilistic situations injection and adaptation using an ontology approach and Bayesian-classifier.  ...  A comparison with existing recommendation approaches shows that the proposed approach is more efficient and decreases the execution time.  ...  ., role-based, localization-based and rule-based on localization and role) before the recommendation process to achieve a high quality of recommendation considering three context categories (user preference  ... 
doi:10.3390/app12020732 fatcat:7ltj3bog3jdzdfy5swysvapyfa

Mining social networks for local search and location-based recommender systems

Fabio Gasparetti, Damianos Gavalas, Sergio Ilarri, Francesco Ricci, Zhiwen Yu
2019 Personal and Ubiquitous Computing  
Publisher's note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.  ...  Acknowledgments We would like to thank the authors of all the submitted papers for having considered this special issue and the Personal and Ubiquitous Computing journal as a potential publication venue  ...  their research activities in relation to the topics of the special issue, such as the project TIN2016-78011-C4-3-R (AEI/FEDER, UE) and the Government of Aragon (Group Reference T35_17D, COSMOS group) with  ... 
doi:10.1007/s00779-019-01241-0 fatcat:4uhdujarjbe47maeang2j6aa5e

SOCIAL METRICS APPLIED TO SMART TOURISM

O. Cervantes, E. Gutiérrez, F. Gutiérrez, J. A. Sánchez
2016 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Our approach is based on flow centrality metrics typically used in social network analysis: flow betweenness, flow closeness and eccentricity.  ...  This data can be used to personalize recommendations in a smart tourism application.  ...  ., 2013) the problem of recommending new venues to users who participate in location-based social networks (LBSNs) is studied.  ... 
doi:10.5194/isprs-annals-iv-4-w1-117-2016 fatcat:lm2x7iadhvca3bw3rjrfqhfdl4

SOCIAL METRICS APPLIED TO SMART TOURISM

O. Cervantes, E. Gutiérrez, F. Gutiérrez, J. A. Sánchez
2016 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Our approach is based on flow centrality metrics typically used in social network analysis: flow betweenness, flow closeness and eccentricity.  ...  This data can be used to personalize recommendations in a smart tourism application.  ...  ., 2013) the problem of recommending new venues to users who participate in location-based social networks (LBSNs) is studied.  ... 
doi:10.5194/isprs-annals-iii-4-w1-117-2016 fatcat:a3ihp3n7s5d75put4fioprkmsm

Enhancing Location-Based Social Media Network Services with Semantic Technologies: A Review

Olayinka Adeleye, Opeyemi Ajibola, Precious Odiase
2017 FUOYE Journal of Engineering and Technology  
processes.In this paper, we presentreview of various semantic technologies that could bedeployed to enhance location-based social media services with emphasis on architectures, tools, supporting technologies  ...  Location-based social media application can now recommend point of interest to users based on geographical information and user's profile gatheredon social media networks.  ...  Uzun, Salem and Kupper, (2014) , also exploited location semantics to achieve a proactive LBSs by extending an existing LBS with a semantically modelled user-specific location profile and context data  ... 
doi:10.46792/fuoyejet.v2i1.50 fatcat:3w7rfefp3ndrvnfbnxsrnb37pi

Context-Aware Recommender Systems for Social Networks: Review, Challenges and Opportunities

Areej Bin Suhaim, Jawad Berri
2021 IEEE Access  
She also has a master degree in information systems from KSU. She is currently pursuing the Ph.D. degree with the Department of Information Systems from KSU.  ...  In order to have a clear vision of the research potential in the field, we considered research articles published between 2015 and 2020 and used a research portal giving access to major scientific research  ...  In the second procedure, each hashtag obtains its embedding from a global context. Gorrab et al. [70] proposed hashtags and users recommender system based on hashtags' semantic analysis.  ... 
doi:10.1109/access.2021.3072165 fatcat:i3igbxd44jhrzcyvynevpidcwq

community2vec: Vector representations of online communities encode semantic relationships

Trevor Martin
2017 Proceedings of the Second Workshop on NLP and Computational Social Science  
These results could help improve community recommendation engines and also serve as a tool for sociological studies of community relatedness.  ...  Vector embeddings of words have been shown to encode meaningful semantic relationships that enable solving of complex analogies.  ...  /r/sanfrancisco) that when combined with a league subreddit (e.g. /r/nba) should result in that location's local league affiliate (e.g.  ... 
doi:10.18653/v1/w17-2904 dblp:conf/acl-nlpcss/Martin17 fatcat:53eqgvlwbfb7bibgc37kv65f2e

Recommendations Based on Overlapping Communities for Location Based Social Networks (LBSNs)
English

Kavita G. Gare, Nilesh V. Alone
2015 International Journal of Innovative Research in Computer and Communication Engineering  
By following the recommendations which system provides, user can be aware about the location of his/her interest and also can join new friends from overlapping community.  ...  Today, Location Based Social Networks(LBSNs) have become a rapidly growing area which attracts millions of people towards itself. LBSN sites are Foursquare, Bright kite, Gowalla, City Sense etc.  ...  INTRODUCTION With the extensive use of mobile devices and location-based services in the world, there is new way for online social interaction, namely location-based social networks (LBSNs).  ... 
doi:10.15680/ijircce.2015.0306015 fatcat:x2p2cqbycjfxlklpxy6mklravu

Interactive Movie Recommendation Through Latent Semantic Analysis and Storytelling [article]

Kodzo Wegba, Aidong Lu, Yuemeng Li, Wencheng Wang
2017 arXiv   pre-print
Our approaches of latent semantic analysis and interactive recommendation can also be extended to other network-based visualization applications, including various online recommendation systems.  ...  We propose a Latent Semantic Model (LSM) that captures the statistical features of semantic concepts on 2D domains and abstracts user preferences for personal recommendation.  ...  Our work consists of two components, a model of latent semantic analysis and an approach of interactive recommendation.  ... 
arXiv:1701.00199v1 fatcat:ai4prf3zvvd2bd4jcht7a7kwcq

Recommendations in location-based social networks: a survey

Jie Bao, Yu Zheng, David Wilkie, Mohamed Mokbel
2015 Geoinformatica  
This article presents a panorama of the recommender systems in location-based social networks with a balanced depth, facilitating research into this important research theme.  ...  We discuss the new properties and challenges that location brings to recommender systems for LBSNs.  ...  [136] recommend interesting locations and local experts in a city to users based on user location histories in a form of GPS trajectories using a HIST-based link analysis method.  ... 
doi:10.1007/s10707-014-0220-8 fatcat:3ivmtrnvkfhshl72gd33h4aola

A SITUATION-AWARE RESOURCE RECOMMENDER BASED ON FUZZY AND SEMANTIC WEB RULES

ALESSANDRO CIARAMELLA, MARIO G. C. A. CIMINO, BEATRICE LAZZERINI, FRANCESCO MARCELLONI
2010 International Journal of Uncertainty Fuzziness and Knowledge-Based Systems  
In this paper, we propose an efficient situation-aware resource recommender (SARR), which helps mobile users to timely locate resources proactively.  ...  This reasoner works in synergy with a fuzzy engine, which is in charge of handling the vagueness of some conditions in the semantic rules, computing a certainty degree for each inferred situation.  ...  Acknowledgements The presented work was supported by the MOVAS Lab, a joint project at the University of Pisa between academy and industry.  ... 
doi:10.1142/s0218488510006623 fatcat:7cdqgriduvd2fmaxn6dydwkury

Evidence recommendation in forensics based on cyclic meta-paths in heterogeneous information networks

E. Koblents, F. Alvarez
2017 8th International Conference on Imaging for Crime Detection and Prevention (ICDP 2017)  
In this article we propose a novel approach for evidence recommendation in digital forensic applications.  ...  cameras in relation to a crime.  ...  The new method has been evaluated on an EG constructed based on a real video dataset.  ... 
doi:10.1049/ic.2017.0042 dblp:conf/icdp/KoblentsA17 fatcat:z2fsl6ysybeijicx4byfdyhyue
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