Filters








62,528 Hits in 3.7 sec

Sentiment and Preference Guided Social Recommendation [chapter]

Yoke Yie Chen, Xavier Ferrer, Nirmalie Wiratunga, Enric Plaza
2014 Lecture Notes in Computer Science  
Social recommender systems harness knowledge from social experiences, expertise and interactions.  ...  In this paper we focus on two such knowledge sources: sentiment-rich user generated reviews; and preferences from purchase summary statistics.  ...  This research has been partially supported by AGAUR Scholarship (2013FI-B 00034) and Project Cognitio TIN2012-38450-C03-03.  ... 
doi:10.1007/978-3-319-11209-1_7 fatcat:znr27xiqhvgzdgd2n46g52aase

Preference and Sentiment Guided Social Recommendations with Temporal Dynamics [chapter]

Xavier Ferrer, Yoke Yie Chen, Nirmalie Wiratunga, Enric Plaza
2014 Research and Development in Intelligent Systems XXXI  
Social recommender systems that harness knowledge from user expertise and interactions to provide recommendation have great potential in capturing such trending information.  ...  We show that considering the temporal preferences of users leads to better recommendation and that user preferences change over time.  ...  This research has been partially supported by AGAUR Scholarship (2013FI-B 00034), ACIA mobility scholarship and Project Cognitio TIN2012-38450-C03-03.  ... 
doi:10.1007/978-3-319-12069-0_7 dblp:conf/sgai/FerrerCWP14 fatcat:hicvgarrgjalhnn5an65h4npmy

Aggregating social media data with temporal and environmental context for recommendation in a mobile tour guide system

Kevin Meehan, Tom Lunney, Kevin Curran, Aiden McCaughey
2016 Journal of Hospitality and Tourism Technology  
Also, performing Sentiment Analysis on social media data has not previously been integrated into a tourist recommender system.  ...  This increases the need to retain user preferences and have it available for multiple destinations.  ...  The contextual conditions represented within the application were Time, Location, Weather, Social Media Sentiment and User Preferences.  ... 
doi:10.1108/jhtt-10-2014-0064 fatcat:zsawjmipevhm7m4bj52psx7jka

Context-aware intelligent recommendation system for tourism

Kevin Meehan, Tom Lunney, Kevin Curran, Aiden McCaughey
2013 2013 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)  
However, using additional context data such as weather, time, social media sentiment and user preferences can provide a more accurate model of the user's current context.  ...  recommendation and demographic profiling.  ...  The importance of using time, weather, social media sentiment and user preferences was concluded in relation to the problem.  ... 
doi:10.1109/percomw.2013.6529508 dblp:conf/percom/MeehanLCM13 fatcat:4jrapyfewfe37llfjbgh6z6rcu

The Rating Based Recommender System using Textual Reviews: A Survey

Mohd. Danish, Meharban Ali
2019 International Journal of Trend in Scientific Research and Development  
This paper is an attempt to discuss the three social factors with some rating prediction algorithms based on user sentiment similarity, item reputation and user circle influence and review the applicable  ...  sentiment dictionary to the recommender system.  ...  To solve the issue, the sentimental factor is used to enhance social recommendation.  ... 
doi:10.31142/ijtsrd21336 fatcat:nq32wvkudvcgflotp7n6cp5ngu

Social Preference Ontologies for Enriching User and Item Data in Recommendation Systems

Christopher Krauss, Stefan Arbanowski
2014 2014 IEEE International Conference on Data Mining Workshop  
This paper introduces preference ontologies and how they help to reduce these issues by analyzing external data, in terms of texts from social networks and other web sources.  ...  Thereby we introduce a self-designed semantic engine, performing sentiment analysis and semantic keyword extraction.  ...  Prototype We implemented an Electronic Program Guide (EPG) that recommends TV programs by extracting the users preferences in Facebook.  ... 
doi:10.1109/icdmw.2014.76 dblp:conf/icdm/KraussA14 fatcat:5nwfxo2dmrbinpruytqnwksxu4

Social Group Recommendation System Based On Big Data

Ms. Nikita S. Mohite, Mr. H. P. Khandagle
2018 Zenodo  
In recent years, the use of internet and functional activities have created development to evolve the system and application of Cyber-Physical-Social Systems (CPSSs).Cyber-Physical-Social Systems (CPSSs  ...  Existing work is recommended person for example Facebook. https://journalnx.com/journal-article/20150759  ...  Acknowledgment This review paper work was guided and supported by Mr. H. P. Khandagle.  ... 
doi:10.5281/zenodo.1413849 fatcat:zwgx4gjmlfaobhr6g6pjqop4oy

Survey Paper on Recommendation System for Tourist Reviews using Aspect Based Sentiment Classification

Kande Trupti V
2021 International Journal for Research in Applied Science and Engineering Technology  
Unfortunately, some user's comments are irrelevant and complex for understanding and long-winded these become hard for recommendation.  ...  Here in this paper represents a framework of aspect based sentiment classification recommendation system that will not only identify the aspects very efficiently but can perform classification task with  ...  of topics and travel preferences.  ... 
doi:10.22214/ijraset.2021.37450 fatcat:ke5mfgfz4nfnjhma76wbrfko2m

A Framework for Building Chat-based Recommender Systems

Fedelucio Narducci, Pierpaolo Basile, Andrea Iovine, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
2018 International Conference on Information and Knowledge Management  
Indeed, chat-based recommender systems implement a paradigm where users define their preferences and discover items that best fit their needs through a dialog.  ...  A chat-based recommender system can be easily integrated in platforms such as social networks, e-commerce websites, bank websites.  ...  IVA 07114250967, and PON01 00850 ASK-Health (Advanced system for the interpretations and sharing of knowledge in health care).  ... 
dblp:conf/cikm/NarducciBIGLS18 fatcat:enfkkfxmffahvhyyp4pxnbjhde

A Review on MAS-Based Sentiment and Stress Analysis User-Guiding and Risk-Prevention Systems in Social Network Analysis

Guillem Aguado, Vicente Julián, Ana García-Fornes, Agustín Espinosa
2020 Applied Sciences  
We review with special attention works using MAS technologies for user recommendation and guiding.  ...  For being able to assess what techniques are available for prevention, works in the detection of sentiment polarity and stress levels of users in SNSs will be reviewed.  ...  Later we review works in risk prevention, and MAS-based recommendation and guiding systems.  ... 
doi:10.3390/app10196746 fatcat:m2gqf3utabgtrcvhtbh53hksfq

A study of neighbour selection strategies for POI recommendation in LBSNs

Carlos Rios, Silvia Schiaffino, Daniela Godoy
2018 Journal of information science  
Our findings can be helpful both to researchers in the recommender systems area and to recommender system developers in the context of LBSNs, since they can take into account our results to design and  ...  from location-based social networks (LBSNs).  ...  Preferences based on the sentiment of tips.  ... 
doi:10.1177/0165551518761000 fatcat:alda7m43kbdubm4hwzidqiwjue

Smart Recommendation System for Off-the Shelf Medicines

Ratna Sathappan, Tholu Sai Indira, A Meenapriyadarsini
2018 International Journal of Engineering & Technology  
algorithms to track sentiment variation and to make a recommendation based on user polarity  ...  The people who have access to the internet use it for numerous reasons such as social networking, marketing, promoting, enhancing businesses, consultancy, research, gaming and the list goes on.  ...  However, these days people prefer informal mediums such as blogs, tweets or any other social networking website for that matter.  ... 
doi:10.14419/ijet.v7i2.24.12126 fatcat:ncqici77pzfypajhuvvba62i7e

Modelling clinical experience data as an evidence for patient-oriented decision support

Junyi Yang, Liang Xiao, Kangning Li
2020 BMC Medical Informatics and Decision Making  
The patient reviews are crawled from social networks and sentimentally analyzed to become structured data which are mapped to the Clinical Sentiment Ontology (CSO).  ...  An Experience Inference Engine (EIE) is developed to match similar experience cases from both patient preference features and patient conditions and ultimately, comprehensive clinical recommendations are  ...  About this supplement This article has been published as part of BMC Medical Informatics and Decision Making Volume 20 Supplement 3, 2020: Health Information Processing.  ... 
doi:10.1186/s12911-020-1121-4 pmid:32646414 fatcat:k35kuwt5oregrdmoxtqgfaakhu

Movie Recommendation Systems using Sentiment Analysis and Cosine Similarity

Raghav Mehta and Shikha Gupta
2021 International journal of modern trends in science and technology  
Here comes Recommendation Systems into picture to guide users towards the information according to their preferences.  ...  , Sentiment Analysis and Cosine Similarity  ...  INTRODUCTION The main use of Recommendation Systems is to help users to have personalised results according to their preferences.  ... 
doi:10.46501/ijmtst0701004 fatcat:5fgv67bmb5azpg64kqzqcwee5e

Buon appetito

Michele Trevisiol, Luca Chiarandini, Ricardo Baeza-Yates
2014 Proceedings of the 25th ACM conference on Hypertext and social media - HT '14  
We mine restaurant reviews to extract food words, we use sentiment analysis applied to each sentence in order to compute the individual food preferences.  ...  This paper deals with the problem of menu recommendation, namely recommending menus that a person is likely to consume at a particular restaurant.  ...  Acknowledgments This work was partially funded by Grant TIN2012-38741 (Understanding Social Media: An Integrated Data Mining Approach) of the Ministry of Economy and Competitiveness of Spain.  ... 
doi:10.1145/2631775.2631784 dblp:conf/ht/TrevisiolCB14 fatcat:pyzwpf2bozcqjldp5uy7aurawm
« Previous Showing results 1 — 15 out of 62,528 results