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Text-learning and related intelligent agents: a survey

D. Mladenic
1999 IEEE Intelligent Systems and their Applications  
Recent developments at the intersection of information retrieval and machine learningas well as work in intelligent agents and intelligent user interfaces-offer novel solutions for helping users quickly  ...  A number of systems have emerged for helping users browse the Web, some based on content analysis using mostly text from Web documents, and others relying on other information about document relevancy,  ...  I am grateful to Nada Lavrac and the magazine's editors for their valuable comments and suggestions on the latest version of this article.  ... 
doi:10.1109/5254.784084 fatcat:6u562ljgsregjohgj3jqeopaoq

E-Service Intelligence: An Introduction [chapter]

Jie Lu, Da Ruan, Guangquan Zhang
2007 Studies in Computational Intelligence  
It covers the stateboth theorems and applications of e-service intelligence.  ...  This chapter offers a thorough introduction and systematic overview of the new field e-service intelligence mainly based on computational intelligence techniques.  ...  pattern based web mining Knowledge discovery Getting knowledge in e-learning systems through genetic algorithms Online knowledge discovery through Q&A systems by case-based reasoning Social mechanism  ... 
doi:10.1007/978-3-540-37017-8_1 fatcat:wdrvcikn5fagbit4fkp7ma6nvm

Design And Development Of Context-Aware Recommendation Strategy For E-Learning

Shaina Raza, Syed Raza Bashir, Muhammad Tahir Hameed, Muhammad Jawwad Zaheer
2015 VFAST Transactions on Software Engineering  
This paper proposes the design and development of a context-aware methodology that comprises a Learning Object Repository (LOR), context-aware recommendation engine and a user-friendly interface.  ...  Third contribution of the research is a mapping algorithm. Finally, it provides directions for the future research in this area.  ...  algorithm and case-based reasoning [24] data mining  Bayesian belief network (Kumar, 2005 , p. 685-687)  Apriori prefix span algorithm ,Nearest neighborhood algorithm and preference matrix [46]   ... 
doi:10.21015/vtse.v7i2.340 fatcat:g2srjkrg7nhnhpiko5sigkj54a

Fashion Recommendation Systems, Models and Methods: A Review

Samit Chakraborty, Md. Saiful Hoque, Naimur Rahman Jeem, Manik Chandra Biswas, Deepayan Bardhan, Edgar Lobaton
2021 Informatics  
On e-commerce platforms, where numerous choices are available, an efficient recommendation system is required to sort, order, and efficiently convey relevant product content or information to users.  ...  The available studies do not provide a rigorous review of fashion recommendation systems and the corresponding filtering techniques.  ...  The authors would like to acknowledge Gregory Key (Volunteer International Advisor and Mentor, North Carolina State University) for proofreading this manuscript.  ... 
doi:10.3390/informatics8030049 fatcat:2djpad5hwraqnb6v24pg4b4a5m

An Analytical Framework for Web Information Filtering Techniques

Narges Sadat Khozooii, Saman Haratizadeh, Mohammad Reza Keyvanpour
2013 International Journal of Hybrid Information Technology  
The growth of information and unstructured and semi structured nature of web information, cause some challenges for people to find their potential useful information for long-time needs.  ...  We hope this proposed framework will lead to empirical and technical comparison of web information filtering structures and development of more efficient structures at future.  ...  Acknowledgements This work is supported by Alzahra university of Tehran, computer engineering department. The authors are grateful to anonymous referees of this paper for their constructive comments.  ... 
doi:10.14257/ijhit.2013.6.6.31 fatcat:2akfujc4bbgsdagzpumyikmgtm

Smart Recommendation Services in Support of Patient Empowerment and Personalized Medicine [chapter]

Haridimos Kondylakis, Lefteris Koumakis, Manolis Tsiknakis, Kostas Marias, Eirini Genitsaridi, Gabriella Pravettoni, Alessandra Gorini, Ketti Mazzocco
2013 Smart Innovation, Systems and Technologies  
Their efforts, and those of the contributors, will provide the reader with a view of the current state of the field and serve as a roadmap for future research.  ...  We hope that they all will find it useful in their works and researches. We are grateful to the authors and the reviewers for their excellent contributions and visionary ideas.  ...  The simplest way of obtaining information about users is through the data they submit via forms or other user interfaces provided for this purpose.  ... 
doi:10.1007/978-3-319-00375-7_4 fatcat:c3aqzd4mkvfkhfcv5u2lgp74gm

A Guesstimate on Web Usage Mining Algorithms and Techniques

Prabha .K, Suganya .T
2017 International Journal of Advanced Research in Computer Science and Software Engineering  
The World Wide Web (WWW) is becoming one of the most preferred and widespread mediums of learning.  ...  The performance of web information retrievals and web based data warehousing are boosted with the extraction of information from the web using web mining tools.  ...  Self organized maps, graph partitioning, ant based technique, K-means with genetic algorithms, EM-CFuzzy means algorithm are the algorithms used for clustering the sessions.  ... 
doi:10.23956/ijarcsse/v7i6/0284 fatcat:2zntqhjoovf7xdrqmbffjuibte

AutoML to Date and Beyond: Challenges and Opportunities [article]

Shubhra Kanti Karmaker Santu, Md. Mahadi Hassan, Micah J. Smith, Lei Xu, ChengXiang Zhai, Kalyan Veeramachaneni
2021 arXiv   pre-print
As big data becomes ubiquitous across domains, and more and more stakeholders aspire to make the most of their data, demand for machine learning tools has spurred researchers to explore the possibilities  ...  Next, we introduce our novel level-based taxonomy for AutoML systems and define each level according to the scope of automation support provided.  ...  uses genetic algorithms for hyperparameter tuning.  ... 
arXiv:2010.10777v4 fatcat:arixmky6erdvhnmboe2sfgbb7a

Artificial intelligence in recommender systems

Qian Zhang, Jie Lu, Yaochu Jin
2020 Complex & Intelligent Systems  
AbstractRecommender systems provide personalized service support to users by learning their previous behaviors and predicting their current preferences for particular products.  ...  learning, genetic algorithms, evolutionary algorithms, neural networks and deep learning, and active learning.  ...  ) fields for user profiling and preference discovery.  ... 
doi:10.1007/s40747-020-00212-w fatcat:ev3cyoy2mjeuhmq3rymkx2shsy

Survey of Machine Learning Techniques in Textual Document Classification

S.W. Mohod, Dr. C.A.Dhote
2014 IOSR Journal of Computer Engineering  
The aim of this paper is to present the important techniques and methodologies that are employed for text documents classification, at the same time making awareness of some of the interesting challenges  ...  The importance of Machine learning approach has felt because of which the study has been taken up for text document classification based on the statistical event models available.  ...  In [17] authors introduced the genetic algorithm for text categorization and used to build and optimize the user template, and also introduced simulated annealing to improve the shortcomings of genetic  ... 
doi:10.9790/0661-16131721 fatcat:cbiobxubajhc7f66jabrgvbiwm

A systematic review and research perspective on recommender systems

Deepjyoti Roy, Mala Dutta
2022 Journal of Big Data  
Then, the algorithmic analysis on various recommender systems is performed and a taxonomy is framed that accounts for various components required for developing an effective recommender system.  ...  AbstractRecommender systems are efficient tools for filtering online information, which is widespread owing to the changing habits of computer users, personalization trends, and emerging access to the  ...  This research will provide a guideline for future research in the domain of recommender systems. However, this research has some limitations.  ... 
doi:10.1186/s40537-022-00592-5 fatcat:t6fomj2vpff5ticjzwvezqw2di

Web Information Personalization: Challenges and Approaches [chapter]

Cyrus Shahabi, Yi-Shin Chen
2003 Lecture Notes in Computer Science  
To date, recommendation systems and personalized web search systems are the most successful examples of Web personalization.  ...  As the number of web pages increases dramatically, the problem of the information overload becomes more severe when browsing and searching the WWW.  ...  Recommendation Systems Various statistical and knowledge discovery techniques have been proposed and applied for recommendation systems.  ... 
doi:10.1007/978-3-540-39845-5_2 fatcat:bzlhauh3a5altctfwda6jab4qe

New Patterns And Techniques In Knowledge Discovery Through Data Mining

Tiruveedula Gopi Krishna, Dr.Mohamed Abdeldaiem Abdelhadi, M.Madhusudhana Subramanian
2013 INTERNATIONAL JOURNAL OF MANAGEMENT & INFORMATION TECHNOLOGY  
Knowledge Discovery is a concept that describes the process of automatically searching large volumes of data for patterns that can be considered knowledge about the data.  ...  And also discussed different techniques for finding and describing structural patterns in data as well.  ...  ACKNOWLEDGEMENTS I would like to thank to all my co-authors to support in Lab and to publish this paper.  ... 
doi:10.24297/ijmit.v7i1.714 fatcat:x4qnbfzb2nbzxa5xr46x3n7gdy

The State of Artificial Intelligence in Marketing With Directions for Future Research

Jing Chen, Jose Humberto Ablanedo-Rosas, Gary L. Frankwick, Fernando R. Jiménez Arévalo
2021 International Journal of Business Intelligence Research  
Bibliometric study identified leading authors, documents, universities, countries, and sources of these articles. By using SNA, we spotted an academic social network of crucial publications.  ...  Our study is one among a few studies that have used bibliometric analysis methods to analyze and visualize the citation network of the AI-marketing interface.  ...  Mining logic; Genetic diffusion stages of knowledge uncertain data with algorithms; discovery: data collection, multi-objective genetic Knowledge data mining, and fuzzy systems to be extraction; knowledge  ... 
doi:10.4018/ijbir.297062 fatcat:d254xr24jbb7lanwldly4or45u

Effective Learning of Probabilistic Models for Clinical Predictions from Longitudinal Data [article]

Shuo Yang
2018 arXiv   pre-print
With the expeditious advancement of information technologies, health-related data presented unprecedented potentials for medical and health discoveries but at the same time significant challenges for machine  ...  learning techniques both in terms of size and complexity.  ...  For example, users with common preferences could have more similar users than the users with unique tastes.  ... 
arXiv:1811.00749v1 fatcat:5tbyk62ahjh3zkosrwem7picpi
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