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Information Retrieval and Social Media Mining

María N. Moreno-García
2020 Information  
The large amount of digital content available through web sites, social networks, streaming services, and other distribution media, allows more and more people to access virtually unlimited sources of  ...  Recommender systems are also one of the areas in which social data can be exploited to improve the reliability of recommendations.  ...  In the research domains of information retrieval and social media mining, the application of language processing approaches to analyze sentiments is gaining increasing interest.  ... 
doi:10.3390/info11120578 fatcat:33bnbaynlzhchghobu6lsiryse

Exploring the Key Factors that Lead to Intentions to Use AI Fashion Curation Services through Big Data Analysis

2022 KSII Transactions on Internet and Information Systems  
The purpose of this study is to investigate perceptions of and intentions to use AI fashion curation services among customers by using text mining.  ...  We conducted frequency analysis to identify the most frequently mentioned keywords using Textom.  ...  Acknowledgement This work was supported by Academic Support Project through National Research Foundation of Korea (NRF) funded by the Ministry of Humanities and Social sciences (2020S1A5B5A17088951).  ... 
doi:10.3837/tiis.2022.02.016 fatcat:3n2fmrq4cffzjhoapmu3g26ofq

An Informational Search for Review through Data Analytics

Preetha A. S, Swathi K, Jeya Selvi C | Elangovan G
2018 International Journal of Trend in Scientific Research and Development  
Spreading of large unstructured information generated by social networks provide useful results to the effective recommender.  ...  This paper suggests an approach to identify product opportunities from customer reviews in social media. Our approach explores to identify multiple reviews and get processed by sentimental analysis.  ...  Sentimental analysis plays an important role to decide a product and both the users and manufacturers get benefit Product Reviews, Sentimental Analysis, Recommended Product, Social Media Mining Data mining  ... 
doi:10.31142/ijtsrd15770 fatcat:6nhb4kbhyvcrzfyocai55uh264

Editorial: Affective and sentimental computing

Haoran Xie, Tak-Lam Wong, Fu Lee Wang, Raymond Wong, Xiaohui Tao, Ran Wang
2019 International Journal of Machine Learning and Cybernetics  
These papers not only contain various applications like social media, spam analysis, opinion mining but also survey studies about social networks and recommender systems.  ...  To this end, this special issue focuses on the recent computational models, methods, and applications in the affective and sentimental computing.  ...  These papers not only contain various applications like social media, spam analysis, opinion mining but also survey studies about social networks and recommender systems.  ... 
doi:10.1007/s13042-019-00977-8 fatcat:5lsalifn6ncbflltqltb5hcazy

Improvising personalized travel recommendation system with recency effects

Paromita Nitu, Joseph Coelho, Praveen Madiraju
2021 Big Data Mining and Analytics  
A travel recommendation system based on social media activity provides a customized place of interest to accommodate user-specific needs and preferences.  ...  A machine learning classifier identifies tweets relevant to travel. The travel tweets are then used to obtain personalized travel recommendations.  ...  [24] introduced the idea of text mining to nullify potential cold starts of personalized recommendation systems.  ... 
doi:10.26599/bdma.2020.9020026 fatcat:gwqsc6juljc35c3xazqlf4vuce

Tourism Destination Recommender System for the Cold Start Problem

2016 KSII Transactions on Internet and Information Systems  
In this paper, we therefore propose a tourism destination recommender system that employs opinion-mining technology to refine user preferences and item opinion reputations.  ...  Compared with several well-known cold start recommendation approaches, our method provides improved recommendation accuracy and quality.  ...  We intend to explore several directions in future work, including extending the model to handle the diversity of item recommendations.  ... 
doi:10.3837/tiis.2016.07.018 fatcat:7owsnihymrha3gfj5bqeed7ghm

A real-time social network-based knowledge discovery system for decision making

Asım Sinan Yüksel, Fatma Gülşah Tan
2018 Automatika  
The dataset required for the implementation of text mining techniques was created based on the venue recommendations shared on Foursquare social media platform.  ...  As a result, a contribution was made to the way the social network users make decisions without reading thousands of recommendations.  ...  It is an inconvenient process for a social media user to decide whether or not to go to a venue by reading hundreds or even thousands of recommendations.  ... 
doi:10.1080/00051144.2018.1531214 fatcat:tb5yo7uemrdrxbwnvrzujmnqre

Business Intelligence and Analytics

Ee-Peng Lim, Hsinchun Chen, Guoqing Chen
2013 ACM Transactions on Management Information Systems  
The new insights can be used for improving products and services, achieving better operational efficiency, and fostering customer relationships.  ...  In this article, we will categorize BIA research activities into three broad research directions: (a) big data analytics, (b) text analytics, and (c) network analytics.  ...  Sentiment analysis is often used in opinion mining to identify sentiment, affect, subjectivity, and other emotional states in online text.  ... 
doi:10.1145/2407740.2407741 fatcat:enjlhfzqfnfqvlv63axun5dvee

Attention Span For Personalisation [article]

Joan Figuerola Hurtado
2016 arXiv   pre-print
A click on an item is arguably the most widely used feature in recommender systems. However, a click is one out of 174 events a browser can trigger.  ...  A set of mining methods is provided to extract user engagement features such as: attention span, scrolling depth and visible impressions.  ...  This is a particularly relevant feature in domains such as: news outlets, e-commerce, or social media. Scrolling events are retrieved from the engagement report in order to mine the scrolling depth.  ... 
arXiv:1608.00147v1 fatcat:cuxhmxfccbh7fnct2wc2t3ug3i

Guest editorial: Special issue on information retrieval for social media

Fei Wang, Peng Cui, Gordon Sun, Tat-Seng Chua, Shiqiang Yang
2012 Information retrieval (Boston)  
Information retrieval for social media As is known to us all, media is an instrument on communication, such as newspaper, radio or video.  ...  Moreover, because of the user activities, usually more than one type of items (e.g., image, music, text and video) are involved in a social network, and the information contained in each single item domain  ...  Acknowledgments We are very indebted to the reviewers who reviewed the papers very carefully. We would also like to thank all the authors who submitted their papers to the special issue.  ... 
doi:10.1007/s10791-012-9199-7 fatcat:6rm4dvxy2be73lam2ufjqucw3a

Combining Cluster-Based Profiling Based on Social Media Features and Association Rule Mining for Personalised Recommendations of Touristic Activities

Jonathan Ayebakuro Orama, Joan Borràs, Antonio Moreno
2021 Applied Sciences  
Association rules, which are mined from the previous visits of users documented on Twitter, are used to make the final recommendations of places to visit.  ...  The system has been applied to data of the city of Barcelona, and the results show that the use of the social media-based clustering procedure increases its performance according to several relevant metrics  ...  Improving Recommendations with Clustering and Association Rule Mining Context-aware recommender systems [4] try to improve the quality of the recommendations by incorporating data about the current state  ... 
doi:10.3390/app11146512 fatcat:n2cr6hucpzgkxpedzv4nxepndm

A Review on Pushing the Limits of Baseline Recommendation Systems with the integration of Opinion Mining Information Retrieval Techniques [article]

Dinuka Ravijaya Piyadigama, Guhanathan Poravi
2022 arXiv   pre-print
While one Recommendation System may focus on recommending popular items, another may focus on recommending items that are comparable to the user's interests.  ...  Content-based filtering, user-to-user & item-to-item Collaborative filtering, and more recently; Deep Learning methods have been brought forward by the researchers to achieve better quality recommendations  ...  Because the proposed method is highly reliant on the technique of text-mining user reviews, the final recommendations could have a positive influence if greater attention is paid to research on text-mining  ... 
arXiv:2205.01802v1 fatcat:tqwuaethzzhi7bxawnxttwt4jm

Social Web Search [chapter]

Maryam Shoaran, Alex Thomo, Jens Weber
2014 Encyclopedia of Social Network Analysis and Mining  
Synonyms social navigation, social analysis, social content search, recommender systems Glossary Social Media: online systems with high public participation and interaction rate.  ...  In the literature, social search also refers to the process of the analysis and discovery of new knowledge from social media.  ...  The framework presented in [3] Recommender Systems In online shopping, movie, and music web sites the goal is to improve the user experience by providing appropriate recommendations about new items  ... 
doi:10.1007/978-1-4614-6170-8_261 fatcat:45qgeu3gcrf6xl5jga2vs62oxu


Sotiris Diplaris, Symeon Papadopoulos, Ioannis Kompatsiaris, Ayse Goker, Andrew Macfarlane, Jochen Spangenberg, Hakim Hacid, Linas Maknavicius, Matthias Klusch
2012 Proceedings of the 21st international conference companion on World Wide Web - WWW '12 Companion  
For example, SocialSensor will analyse the dynamic and massive user contributions in order to extract unbiased trending topics and events and will use social connections for improved recommendations.  ...  The project moves beyond conventional text-based indexing and retrieval models by mining and aggregating user inputs and content over multiple social networking sites.  ...  Sensor Mining Improving the user experience on the Web goes through the automatic understanding of information streams.  ... 
doi:10.1145/2187980.2188020 dblp:conf/www/DiplarisPKGMSHMK12 fatcat:4s3gsna5qzaulat2o52kab3pca

A Survey of Big Data Techniques for Extracting Information from Social Media Data

Carla Blank, Matthew McBurney, Maria Morgan, Raed Seetan
2021 Advances in Science, Technology and Engineering Systems  
Data mined from social media can be used in a variety of methods.  ...  The goal of this paper is to explore some of the various methods of mining data from social media and the different areas of its applications.  ...  Social media data mining in reporting feedback of care can also be used by doctors and patients to improve care.  ... 
doi:10.25046/aj060322 fatcat:scyqe6eawrhe5c6febs3itztry
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