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Case-Studies in Mining User-Generated Reviews for Recommendation [chapter]

Ruihai Dong, Michael P. O'Mahony, Kevin McCarthy, Barry Smyth
2015 Studies in Computational Intelligence  
We describe and evaluate a number of practical case-studies for how such information can be used in an information filtering and recommendation context, from filtering helpful reviews to recommending useful  ...  User-generated reviews are now plentiful online and they have proven to be a valuable source of real user opinions and real user experiences.  ...  Acknowledgments This work is supported by Science Foundation Ireland: through the CLARITY Centre for Sensor Web Technologies under grant number 07/CE/I1147; and through the Insight Centre for Data Analytics  ... 
doi:10.1007/978-3-319-18458-6_6 fatcat:t347ktimnretvbhfubhz4ch6fm

A Three Way Hybrid Movie Recommendation Syste

Karan Soni, Rinky Goyal, Bhagyashree Vadera, Siddhi More
2017 International Journal of Computer Applications  
In this paper, the focus is on combining a content-based algorithm, a User-based collaborative filtering algorithm, and review based text mining algorithm in the application of a tailored movie recommendation  ...  Here the propose is to generate polarity ratings to Characteristics of a movie instead of generating a wholesome rating to an available text based review to gain better insights about preferences of users  ...  On the other hand, online movie reviews have become a common source for users to share and collect data about movies, but there have been very few studies that accurately integrate text mining techniques  ... 
doi:10.5120/ijca2017913026 fatcat:aeoo2vmgqzdphfica54ffqtppi

Mining User/Movie Preferred Features Based on Reviews for Video Recommendation System [article]

Xuan-Son Vu, Seong-Bae Park
2017 arXiv   pre-print
In this work, we present an approach for mining user preferences and recommendation based on reviews. There have been various studies worked on recommendation problem.  ...  There is a prob- lem in one aspect mining is lacking for stating user preferences.  ...  Therefore, in this work, we focus on mining user reviews to state user preferences for recommendation.  ... 
arXiv:1702.02737v1 fatcat:4yf3efihbzhizoisji4vdbf3lu

From Opinions to Recommendations [chapter]

Michael P. O'Mahony, Barry Smyth
2018 Lecture Notes in Computer Science  
We will draw on a number of concrete case-studies to provide different examples of how opinions can be extracted and used in practice.  ...  More recently, new sources of recommendation knowledge in the form of social media information and other kinds of user-generated content have emerged as viable alternatives.  ...  Case Study 2 -Opinionated Recommendation The previous case-study described an approach to leveraging the text of shortform user-generated product reviews directly for recommendation.  ... 
doi:10.1007/978-3-319-90092-6_13 fatcat:uowzrllfgfemzmftmtygm5ok7e

Harnessing the Experience Web to Support User-Generated Product Reviews [chapter]

Ruihai Dong, Markus Schaal, Michael P. O'Mahony, Kevin McCarthy, Barry Smyth
2012 Lecture Notes in Computer Science  
In particular, we describe two approaches to helping users during the review writing process and evaluate each as part of a blind live-user study.  ...  Today, online reviews for products and services have become an important class of user-generated content and they play a valuable role for countless online businesses by helping to convert casual browsers  ...  Recommendation Feedback and Case Retention Each recommendation cycle refreshes the current set of suggestions for the user.  ... 
doi:10.1007/978-3-642-32986-9_7 fatcat:unnvgvvbkvfulloo2chnbn5dzm

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
The author identifies possibilities of expanding the capabilities of baseline models & the advantages and drawbacks of each model with selected use cases in this review.  ...  When the purpose of various Recommendation Systems differs, the required type of recommendations also differs for each use case.  ...  Extracting User Review Sentiment for Recommendations There have been studies to understand the influence of user sentiment on the use of user reviews.  ... 
arXiv:2205.01802v1 fatcat:tqwuaethzzhi7bxawnxttwt4jm

Taxonomical Classification of Web Usage Mining Applications and its Ontological Representation

Satyaveer Singh, Mahendra Singh Aswal
2018 Asian Journal of Computer Science and Technology  
Further, the ontology for various categories of the web usage mining applications has been developed and to prove the completeness of proposed taxonomy, a rigorous case study has been performed.  ...  recommendations and consumer behavior studies, etc.  ...  WEB USAGE MINING APPLICATIONS: CASE STUDY To prove the completeness of proposed taxonomy, a rigorous case study has been performed.  ... 
doi:10.51983/ajcst-2018.7.3.1902 fatcat:cchl3c7ny5cujfqztevpf7ouxu

Guest editor's introduction: special issue on analyzing and mining social networks for decision support and recommender systems

I-Hsien Ting
2016 Journal of Intelligent Information Systems  
In addition to the invited papers, we also called for public submissions.  ...  The authors alter traditional context-aware-recommender systems (CAR) to interactive CAR (iCAR) in order to improve the recommendation accuracy. A car rental  ...  In the paper, Nepal 2015 earthquake was used as a case study to demonstrate the proposed process.  ... 
doi:10.1007/s10844-016-0425-4 fatcat:4lkr2wgnvbfjfc5hh5pz7ag2jm

Personalized Opinion-Based Recommendation [chapter]

Ruihai Dong, Barry Smyth
2016 Lecture Notes in Computer Science  
In this paper, we build on recent work in this area to generate user and product profiles from user-generated reviews.  ...  The interests of a user can be mined from the reviews that they write and the pros and cons of products can be mined from the reviews written about them.  ...  Acknowledgments This work is supported by Science Foundation Ireland through the Insight Centre for Data Analytics under grant number SFI/12/RC/2289.  ... 
doi:10.1007/978-3-319-47096-2_7 fatcat:2hvc6mqrmffdteoxymqlcqzi3a

Explainable Recommendation: A Survey and New Perspectives [article]

Yongfeng Zhang, Xu Chen
2020 arXiv   pre-print
In this survey, we provide a comprehensive review for the explainable recommendation research.  ...  Explainable recommendation attempts to develop models that generate not only high-quality recommendations but also intuitive explanations.  ...  Acknowledgements We sincerely thank the reviewers for providing the valuable reviews and constructive suggestions. The work is partially supported by National Science Foundation (IIS-1910154).  ... 
arXiv:1804.11192v10 fatcat:scsd3htz65brbiae35zd3nixe4

Recommendation of Influenced Products Using Association Rule Mining: Neo4j as a Case Study

Sudipta Sen, Akash Mehta, Runa Ganguli, Soumya Sen
2021 SN Computer Science  
In this paper, the recommendation system has been built based on association rule mining.  ...  Generally, the potential buyers check the review of the products to take informed decision of purchase.  ...  Without a recommendation system, consumers must spend time searching for the product they like and in most of the cases it has a negative impact on the consumers.  ... 
doi:10.1007/s42979-021-00460-8 fatcat:b3xlexwk25fcdfagi5y5abrb2i

Great Explanations: Opinionated Explanations for Recommendations [chapter]

Khalil Muhammad, Aonghus Lawlor, Rachael Rafter, Barry Smyth
2015 Lecture Notes in Computer Science  
We describe this approach in the context of a case-based recommender system that harnesses opinions mined from user-generated reviews, and evaluate it on TripAdvisor Hotel data.  ...  We describe a novel approach to explanation for recommender systems, one that drives the recommendation process, while at the same time providing the user with useful insights into the reason why items  ...  Conclusions This work builds on recent research in the case-based reasoning community by bringing together ideas from CBR, opinion mining, and recommender systems.  ... 
doi:10.1007/978-3-319-24586-7_17 fatcat:4rfvl3tphnhbfcy53eeqmbwjuq

An Improvised Ontology based K-Means Clustering Approach for Classification of Customer Reviews

A. Razia Sulthana, Ramasamy Subburaj
2016 Indian Journal of Science and Technology  
Applications/Improvements: The proposed approach can be used to recommend product based on users' review.  ...  Background/Objectives: To provide a framework for improving the classification of customer reviews on products.  ...  The results obtained for our case study is given in Table 1 , Table 2 , Table 3 and Table respectively .  ... 
doi:10.17485/ijst/2016/v9i15/87328 fatcat:sc4hpaziwnfnpffmtrvuascklu

Recommendation Systems Based on Association Rule Mining for a Target Object by Evolutionary Algorithms

Hossein Hatami Varzaneh, Behzad Soleimani Neysiani, Hassan Ziafat, Nasim Soltani
2018 Emerging Science Journal  
Collaborative Filtering is known as a common way in Recommender systems which offers recommendations made by similar users in the case of entering time and previous transactions.  ...  In this field, numerous researches have been done using associative rules for recommendation systems to improve accuracy but runtime of rule-based recommendation systems is high and cannot be used in the  ...  systems since 2001 to 2013 referring to PSO proving that there had not been a newe study in this area and based on the reviews a study for improving the efficiency or the exactness has not been proposed  ... 
doi:10.28991/esj-2018-01133 fatcat:k665o3q3xrfy7kprhvcgwna2ai

Further Experiments in Opinionated Product Recommendation [chapter]

Ruihai Dong, Michael P. O'Mahony, Barry Smyth
2014 Lecture Notes in Computer Science  
In this paper we build on recent work on case-based product recommendation focused on generating rich product descriptions for use in a recommendation context by mining user-generated reviews.  ...  By mining user-generated reviews we can produce product descriptions that reflect the opinions of real users and combine notions of similarity and opinion polarity (sentiment) during the recommendation  ...  Conclusions In this paper we have extended an approach to producing product cases from user-generated reviews for the purpose of recommendation.  ... 
doi:10.1007/978-3-319-11209-1_9 fatcat:oemhb4humjcexf44losgfuqju4
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