RecSys Issues Ontology: A Knowledge Classification of Issues for Recommender Systems Researchers

2019 ◽  
Vol 22 (6) ◽  
pp. 1377-1418 ◽  
Author(s):  
Lawrence Bunnell ◽  
Kweku-Muata Osei-Bryson ◽  
Victoria Y. Yoon
Keyword(s):  
Recommender Systems ◽  
Knowledge Classification

scholarly journals Eye-Tracking-Based Classification of Information Search Behavior Using Machine Learning: Evidence from Experiments in Physical Shops and Virtual Reality Shopping Environments

2020 ◽  
Vol 31 (3) ◽  
pp. 675-691 ◽  
Author(s):  
Jella Pfeiffer ◽  
Thies Pfeiffer ◽  
Martin Meißner ◽  
Elisa Weiß
Keyword(s):  
Virtual Reality ◽  
Recommender Systems ◽  
Eye Movement ◽  
Information Search ◽  
Search Behavior ◽  
Movement Data ◽  
Conversion Rates ◽  
Shopping Environments ◽  
Information Search Behavior

How can we tailor assistance systems, such as recommender systems or decision support systems, to consumers’ individual shopping motives? How can companies unobtrusively identify shopping motives without explicit user input? We demonstrate that eye movement data allow building reliable prediction models for identifying goal-directed and exploratory shopping motives. Our approach is validated in a real supermarket and in an immersive virtual reality supermarket. Several managerial implications of using gaze-based classification of information search behavior are discussed: First, the advent of virtual shopping environments makes using our approach straightforward as eye movement data are readily available in next-generation virtual reality devices. Virtual environments can be adapted to individual needs once shopping motives are identified and can be used to generate more emotionally engaging customer experiences. Second, identifying exploratory behavior offers opportunities for marketers to adapt marketing communication and interaction processes. Personalizing the shopping experience and profiling customers’ needs based on eye movement data promises to further increase conversion rates and customer satisfaction. Third, eye movement-based recommender systems do not need to interrupt consumers and thus do not take away attention from the purchase process. Finally, our paper outlines the technological basis of our approach and discusses the practical relevance of individual predictors.

Analysis and Classification of Multi-Criteria Recommender Systems

2007 ◽  
Vol 10 (4) ◽  
pp. 415-441 ◽  
Author(s):  
Nikos Manouselis ◽  
Constantina Costopoulou
Keyword(s):  
Recommender Systems

scholarly journals Influential Thoughts of Muslim Thinkers about the Education System; Imam Ghazali and Ibn-Khaldun

2021 ◽  
Vol 2 (1) ◽  
pp. 17-34
Author(s):  
Amna Saleem ◽  
Huma Kausar ◽  
Fatima Ali ◽  
Sumaira Mehboob
Keyword(s):  
Education System ◽  
Educational Philosophy ◽  
Teaching Methodology ◽  
Islamic School ◽  
Ibn Khaldun ◽  
Aims Of Education ◽  
Knowledge Learning ◽  
Knowledge Classification

Islam is considered divine religion. It is based on God's revelation and the sunnah of the Holy Prophet. It's a complete code of life as religion not just worship. Islam places considerable emphasis on education, as well as on beliefs and worship. It drives people to seek knowledge as a last religion. While, the first revelation highlights the significance of seeking knowledge as the first revelation word “Iqra” which means Read (Chapter Al-alaq). The main prerequisite for developing education is established in first chapter Al alaq's five ayat (Read, knowledge, and pen). The two renowned Muslim thinkers Imam Ghazali and Ibn Khuldun have passed in history, their services in the field of education provide directions to our current education system. Keeping in view the Islamic school of thoughts Imam Ghazali and Ibn Khuldun explained a comprehensive educational philosophy which they have discussed the main foundations of philosophy i.e. metaphysics, epistemology and axiology in the light of Quran and sunnah. Moreover, they have elaborated the aims of education and introduced the techniques to achieve them. As well as they clearly defined the role and responsibilities of instructors and pupils. So, this paper designates the biography and educational thoughts of Imam Ghazali and Ibne Khuldun in detail i.e., the concept of knowledge, classification of knowledge, learning stages, teaching methodology, curriculum, concept of discipline and obligations of both instructors and pupils.

scholarly journals The Influence of Classification on World View and Epistemology

10.28945/3279 ◽  
2008 ◽  
Author(s):  
Gholamreza Fadaie
Keyword(s):  
Classification Scheme ◽  
World View ◽  
Point Of View ◽  
Knowledge Based ◽  
Key Points ◽  
The World ◽  
Static Approach ◽  
Traditional Approaches ◽  
Knowledge Classification

Worldview as a kind of man's look towards the world of reality has a severe influence on his classification of knowledge. In other words one may see in classification of knowledge the unity as well as plurality. This article deals with the fact that how classification takes place in man's epistemological process. Perception and epistemology are mentioned as the key points here. Philosophers are usually classifiers and their point of views forms the way they classify things and concepts. Relationship and how one looks at it in shaping the classification scheme is critical. The classifications which have been introduced up to now have had several models. They represent the kind of looking at, or point of view of their founders to the world. Aristotle, as a philosopher as well as an encyclopedist, is one of the great founders of knowledge classification. Afterwards the Islamic scholars followed him while some few rejected his model and made some new ones. If we divide all classifications according to their roots we may define them as human based classification, theology based classification, knowledge based classification, materialistic based classification such as Britannica's classification, and fact based classification. Tow broad approaches have been defined in this article: static and dynamic. The static approach refers to the traditional approaches and the dynamic one refers to the eight way of looking toward objects in order to realize them. The structure of classification has had its influence on epistemology, too. If the first cut on knowledge tree is fully defined, the branches would usually be consistent with it.

Recommender System: Towards Classification of Human Intentions in E-Shopping Using Machine Learning

2019 ◽  
Vol 16 (10) ◽  
pp. 4280-4285
Author(s):  
Babaljeet Kaur ◽  
Richa Sharma ◽  
Shalli Rani ◽  
Deepali Gupta
Keyword(s):  
Machine Learning ◽  
Recommender Systems ◽  
Recommender System ◽  
Machine Learning Algorithms ◽  
Application Domain ◽  
Random Forest Algorithm ◽  
Manual Search ◽  
Online Shoppers ◽  
New Item

Recommender systems were introduced in mid-1990 for assisting the users to choose a correct product from innumerable choices available. The basic concept of a recommender system is to advise a new item or product to the users instead of the manual search, because when user wants to buy a new item, he is confused about which item will suit him better and meet the intended requirements. From google news to netflix and from Instagram to LinkedIn, recommender systems have spread their roots in almost every application domain possible. Now a days, lots of recommender system are available for every field. In this paper, overview of recommender system, recommender approaches, application areas and the challenges of recommender system, is given. Further, we study conduct an experiment on online shoppers’ intention to predict the behavior of shoppers using Machine learning algorithms. Based on the results, it is observed that Random forest algorithm performs the best with 93% ROC value.

scholarly journals Linguistic vs Encyclopaedic Knowledge. Classification of MWEs from Wikipedia Articles

2020 ◽  
Vol 20 (4) ◽  
pp. 125-140
Author(s):  
Z. Kancheva ◽  
I. Radev
Keyword(s):  
Linked Data ◽  
The Creation ◽  
Knowledge Classification

AbstractThis paper reports on the first steps in the creation of linked data through the mapping between the synsets of BTB-WordNet and the articles in Bulgarian Wikipedia. The task of expanding the BTB-WordNet with encyclopaedic knowledge is done by mapping its synsets to Wikipedia articles with many MWEs found in the articles and subjected to further analysis. We look for a way to filter the Wikipedia MWEs in the effort of selecting the ones most beneficial to the enrichment of BTB-WN.

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