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Context Based Classification of Reviews Using Association Rule Mining, Fuzzy Logics and Ontology
2017
Bulletin of Electrical Engineering and Informatics
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In this paper, we propose a new framework called Fuzzy based contextual recommendation system. ...
For classification of customer reviews we extract the information from the reviews based on the context given by users. We use text mining techniques to tag the review and extract context. ...
Bulletin of EEI Text mining techniques [8] in contextual recommendations for products based on the user recommendations extracts the contextual information. ...
doi:10.11591/eei.v6i3.682
fatcat:mnxt35mjfzhfhh2pmtovfy4c6m
Using Opinion Mining in Context-Aware Recommender Systems: A Systematic Review
2019
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Given the importance of this type of texts and their usage along with opinion mining and contextual information extraction techniques for recommender systems, we present a systematic review on the recommender ...
systems that explore both contextual information and opinion mining. ...
of user's texts and the use of opinion mining and contextual information extraction techniques for recommender systems, we present, in this paper, a systematic review on the recommender systems that use ...
doi:10.3390/info10020042
fatcat:lgljoxtgtnahzfi55pig6ibp4q
Analysis on Increasing Customer Sales by the Use of Restaurant Recommender System
2016
International Journal of Computer Applications
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General Terms Restaurant recommender system, customer behavior, clustering, data mining. ...
In a restaurant recommender system the main focus is on the user rating or perhaps the customer satisfaction that is significant of all. ...
This serves as a semantic restaurant recommender system that blends social and contextual aspects that was used as the test base. ...
doi:10.5120/ijca2016909178
fatcat:ui4g7fjfynfhjnhc6it2co5xvq
Technical Approach in Text Mining for Stock Market Prediction: A Systematic Review
2018
Indonesian Journal of Electrical Engineering and Computer Science
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This empirical research of text mining role on financial text analysing in where stock predictive model need to improve based on rank search method. ...
Text mining methods and techniques have disclosed the mining task throughout information retrieval discipline in the field of soft computing techniques. ...
. • Content-based recommendation • Utility-based recommendation • Collaborative recommendation • Knowledge-based recommendation • Demographic recommendation As seen from the research news recommendation ...
doi:10.11591/ijeecs.v10.i2.pp770-777
fatcat:n5hf2opjczdfneo5lnhtg6eske
A semantic approach to recommending text advertisements for images
2012
Proceedings of the sixth ACM conference on Recommender systems - RecSys '12
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There are two existing approaches, advertisement search based on image annotation, and more recently, advertisement matching based on feature translation between images and texts. ...
Visual contextual advertising, a young research area, refers to finding relevant text advertisements for a target image without any textual information (e.g., tags). ...
Image annotation [4, 11] is one approach to visual contextual advertising. Intuitively, given a target image, text annotations are extracted based on a model trained by labeled images. ...
doi:10.1145/2365952.2365987
dblp:conf/recsys/ZhangTSWY12
fatcat:nhrrho4am5hijnzlpwhvtuzmdq
Editorial for the Special Issue on "Modern Recommender Systems: Approaches, Challenges and Applications"
2019
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Recommender systems are nowadays an indispensable part of most personalized systems implementing information access and content delivery, supporting a great variety of user activities [...] ...
To this end, they present a systematic and comprehensive review on recommender systems that explores both contextual information and opinion mining. ...
of users in the context of opinion mining and contextual information extraction techniques for recommender systems. ...
doi:10.3390/info10070230
fatcat:zvdlugwzyrag5epon22r3we32u
Combining Privileged Information to Improve Context-Aware Recommender Systems
[article]
2019
arXiv
pre-print
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One of the major challenges in context-aware recommender systems research is the lack of automatic methods to obtain contextual information for these systems. ...
Context-aware recommender systems (CARS) learn and predict the tastes and preferences of users by incorporating available contextual information in the recommendation process. ...
All the context-aware recommendation algorithms used in this work are based on the Item-Based Collaborative Filtering. They are presented in the next section.
D. ...
arXiv:1511.02290v3
fatcat:f6ba4lagwzdaldhxxhnoihgloe
Review Based Rating Prediction
[article]
2016
arXiv
pre-print
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We introduce a review-based recommendation approach that obtains contextual information by mining user reviews. ...
As an example application, we used our method to mine contextual data from customers' reviews of movies and use it to produce review-based rating prediction. ...
As an example application, we have used our methods to mine contextual data from customers' reviews of movies in Amazon's dataset and used it to produce review-based recommendations. ...
arXiv:1607.00024v4
fatcat:nkeg3cttc5dmjfenogflkgcgiu
Tackling Incompleteness in Information Extraction – A Complementarity Approach
[chapter]
2012
Lecture Notes in Computer Science
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For these purposes, a recommendation model that determines which methods can attack a specific problem is proposed. ...
In this context, complementarity is the combination of pieces of information from different sources, resulting in (i) reassessment of contextual information and suggestion generation and (ii) better assessment ...
Hence, the main contribution is threefold: (i) A recommendation model, which supports the user in selecting appropriate text mining tasks and data mining methods (in accordance with the identified incompleteness ...
doi:10.1007/978-3-642-30284-8_61
fatcat:rafr7otdezfh5bzfxw45qlu7e4
Contextual Text Mining Framework for Unstructured Textual Judicial Corpora through Ontologies
2022
Computer systems science and engineering
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This framework comprises on the judicial corpus, text mining processing resources and ontologies for mining contextual text from corpora to make text and data mining more reliable and fast. ...
This research paper presents a three tier contextual text mining framework through ontologies for judicial corpora. ...
Our research work focused on the ontology-based contextual text mining framework using the judicial corpora of the supreme court of Pakistan's previously judged case data. ...
doi:10.32604/csse.2022.025712
fatcat:ey4awnzatrattctyv4yfmewfoi
Rating Prediction of Social Sentiment from Textual Review By Recognizing Contextual Polarity
2018
Journal of Advances and Scholarly Researches in Allied Education
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However mining valuable information from these reviews for recommendation of product crucial task. ...
Both the product owner and the user can identify the quality of the product based on the sentiment graph that is generated based on the reviews for each of the product. ...
INTRODUCTION Currently, with the growing amount of online reviews available on the Internet. sentiment analysis and opinion mining, as a special text mining task for determining the subjective attitude ...
doi:10.29070/15/57054
fatcat:xk57i3243rfgfmzilqzqxqq5zm
Context-Aware and Sequential Pattern Mining based recommendations for Research Papers: A Hybrid Approach
2020
Journal of information communication technologies and robotic applications
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is used to measure predictions based on correlations between scholars and generate context-aware and sequential trend mining based recommendations for the targeted scholars. ...
Context-awareness in our methodology involves the scholar's contextual state, such as skill level and research goals; SPM is used to mine weblogs and reveal sequential access actions of scholars, and CF ...
FreeSpan classifies the database and subdatabases based on an anticipated set of items and then mines [78] . ...
doi:10.51239/jictra.v0i0.240
fatcat:zqmy7hk2yzhwvfjiqsisk36dwa
Context extraction from reviews for Context Aware Recommendation using Text Classification techniques
2013
2013 ACS International Conference on Computer Systems and Applications (AICCSA)
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In this paper, we investigate the use of Text Classification techniques to extract contextual information from user reviews for Context Aware Recommendation. ...
To extract context from user reviews with text classification techniques, we recommend to use raw text rather than employing stemming, to use the normalized frequency based weighting rather than the presence ...
We recommend to use TFIDF or normalized frequency based weighting rather than presence based weighting. ...
doi:10.1109/aiccsa.2013.6616512
dblp:conf/aiccsa/LahlouBMK13
fatcat:gdscwytgrfd7bfscsxxq37kety
Location-aware computing to mobile services recommendation: Theory and practice
2020
Journal of Ambient Intelligence and Smart Environments
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In the paper entitled "Improved location filtering using a context-aware approach", Iuon-Chang Lin, Chen-Yang Cheng and Yen-Ting Lin present a recommender system that recommends the route based on mining ...
network monitoring based on Mobile CrowdSensing. ...
In the paper entitled "Improved location filtering using a context-aware approach", Iuon-Chang Lin, Chen-Yang Cheng and Yen-Ting Lin present a recommender system that recommends the route based on mining ...
doi:10.3233/ais-200588
fatcat:kq5kxix6u5b3fcyopk7edkfs3i
Design And Development Of Context-Aware Recommendation Strategy For E-Learning
2015
VFAST Transactions on Software Engineering
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The existing approaches in this regard focus on learners' ratings, history, behavior and interests, rather ignored the knowledge gain and learning outcomes by the learners. ...
The practice of retrieving and recommending Learning Objects (LOs) to the learners according to their specific needs and requirements has been a very active research area in e-learning. ...
Context-Aware Recommender Systems (CARS) has evolved recently to demonstrate the potential contextual recommendations in web-based learning [55] . ...
doi:10.21015/vtse.v7i2.340
fatcat:g2srjkrg7nhnhpiko5sigkj54a
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