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Content-Based Music Recommendation Using Non-Stationary Bayesian Reinforcement Learning
This paper presents a music recommendation system for the offline libraries of songs that employs the concepts of reinforcement learning to obtain satisfactory recommendations based on the various content-based parameters. In order to obtain insights about the effectiveness of the generated recommendations, parallel instances of single-play multi-arm bandit algorithms are maintained. In conjunction to this, the concepts of Bayesian learning are considered to model the user preferences by assuming the environment's reward generating process to be non-stationary and stochastic. The system is designed to be simple, easy to implement, and on-par with user satisfaction within the bounds of the input data capabilities. Copyright 2021, IGI Global. -
Content suggestion in e-learning
Self ??directed e-learning focuses on the independent learner one who engages in education at his own space free from curricular obligation. In this research, user's access interests were introduced into the design of a recommendation framework by using web browsing behaviour of the user. According to the user's access interest the recommendation framework can provide users with personalised information. The research thesis is to determine if users access interest can be extracted and to associate users access interest with other attributes to design a recommendation framework that attempts to recommend the information items, here the research papers to a researcher searching for interesting topics of research in her field. The proposed system is very useful to the new researchers as initially they are not aware of the research areas where they can work on. This system assists the researcher in searching the papers they are interested to search. The documents of interest to the user are used to build the user profile and this profile is used to re-rank the web search results. The paper presents the overall architecture of the proposed system and its implementation via a prototype design. In this dissertation an attempt is made to design a system prototype which will recommend the information items to the user according to the user access interest, which is captured from the web browsing behaviour of the user. The content similarity of the information items is also taken into consideration. The information items are suggested to the user based on the relevance. The organization of the thesis is done into various chapters. Introduction contains the brief introduction about personalisation services in e-learning scenario, recommender systems in e-learning. Literature review discusses about the web-based self-directed e-learning and the works done in the field of recommender systems in e-learning. Chapter 3 discusses the methodology adopted to design the system. In chapter 4 results are being analysed and discussed. Chapter 5 gives the future enhancement that can be done to the system design. -
Content Based Scientific Article Recommendation System Using Deep Learning Technique
The emergence of the era of big data has increased the ease with which scientific users can access academic articles with better efficiency and accuracy from a pool of papers available. With the exponential increase in the number of research papers that are getting published every year, it has made scholars face the problem of information overload where they find it difficult to conduct comprehensive literature surveys. An article recommendation system helps in overcoming this issue by providing users with personalized recommendations based on their interests and choices. The common approaches used for recommendation are Content-Based Filtering (CBF) and Collaborative Filtering (CF). Even though there is much advancement in the field of article recommendation systems, a content-based approach using a deep learning technology is still in its inception. In this work, a C-SAR model using Gated Recurrent Unit (GRU) and association rule mining Apriori algorithm to provide a recommendation of articles based on the similarity in the content were proposed. The combination of a deep learning technique along with a classical algorithm in data mining is expected to provide better results than the state-of-art model in suggesting similar papers. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Content Based Deep Factorization Framework for Scientific Article Recommender System
With the advancement in technology and the tremendous number of citations available in the digital libraries, it has become difficult for the research scholars to find a relevant set of reference papers. The accelerating rate of scientific publications results in the problem of information overload because of which the scholars spend their 70% of the time finding relevant papers. A citation recommendation system resolves the issue of spending a good amount of time and other resources for collecting a set of papers by providing the user with personalised recommendations of the articles. Existing state of art models do not take high-low order feature interactions into consideration, due to which the recommendations are not up to the desired level of performance. In this paper, we propose a content-based model which combines Deep Neural Network (DNN) and Factorization Machines (FM) where no pre-trainings are required for providing the citation recommendations. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
CONTENT ANALYSIS ON THE REPRESENTATION OF SOUTH INDIAN-NESS IN BOLLYWOOD SONGS
Cinema is an ever growing industry. As new generations keep increasing the family tree, so does new celebrities emerge in this film fraternity. There is no end to cinema. But there is always a deadline that every celebrity meets. One wrinkle and out you go! That is precisely the formula applied in this industry. The whole research is analysed in terms of the South Indian-ness that is present in nineteen Bollywood Songs. According to the researcher, South Indian-ness means the south Indian factors that touched upon in the Bollywood movies. Those factors can be the languages, traditional attires, locations, music, etc. There are certain features that make a place unique from the others. That is the basic difference that is created which has lead to two terms ?? North India and South India. Without these differences we would have been called as ??India. -
CONTENT ANALYSIS ON NEW GENERATION MALAYALAM CINEMA
The study analyses the influence of new generation Malayalam cinema and the trend of new generation cinema in Malayalam film industry. In the new generation films, realism has been given preference. The preferred portrayals are of death, blood, conceit, adultery, jealousy, cunningness, unfaithfulness and sorrow. It aims to analyse how the new generation affects the Malayalam cinema and its pattern of story or plot used by the industry. The researcher used content analysis to find out the similarities and common similarities from the four films. Through the content analysis and qualitative research we can find out that the plot or the way of stories were moving in the same direction. -
Content analysis on coverage of wildlife issues by popular english and kannada newspaper of Bengaluru /
The ever increasing human population and unplanned developmental work across the globe has caused a major threat to the biodiversity. Poaching, loss of wild habitat due to encroachment of forestlands have put many animal and plantspecies in the verge of extinction, the most recent being the Western black rhinoceros, a subspecies of the black rhinoceros that was declared as extinct by the International Union for Conservation of Nature and Natural Resources (IUCN) in the year 2011.The current destruction of the remaining wild habitats across the globe seeks protection and effective conservation strategies. Print Media, especially newspaper play an important role in creating awareness about wildlife issues and also mitigating in problems. -
Content analysis of Shyamprasad films /
Shyamaprasad is a renowned Malayalam film maker popular for his unique and refreshing style of film making. He is well known for the themes he employs in his films which make them stand apart. This research consists of an in depth analysis of all twelve films made by the film maker using various parameters. The parameters that are considered are themes, characters, underlying ideas, setting, conflicts and emotions. -
CONTENT ANALYSIS OF SATYAJIT RAY NOVELS FELUDA AND ITS ADAPTATION INTO FILMS ON THE BASIS OF NARRATOLOGY
Feluda or Prodosh Chandra Mitra is a fictional private investigator starring in a series of Bengali novels and short stories written by Indian Bengali film director and writer Satyajit Ray. Feluda first made his appearance in a Bengali children's magazine called Sandesh Subhas Mukhopadhyayin 1965, under the editorialship of Satyajit Ray and . His first adventure was Feludar Goendagiri. The researcher seeks to find out whether or not the books on Feluda have been done justice to when adapted into films by Satyajit Ray himself and his son Sandip Ray. This research will also throw light on the characters of Feluda series -whether they are lost or not. The researcher will conduct a qualitative research which includes an extensive study of the novels and the adapted films. -
CONTENT ANALYSIS OF FILMS BASED ON FRIENDSHIP (BOLLYWOOD FILMS)
Film depicts various instances and situations pertaining to reality. The particular dissertation is a study to know about the representation of friendship in Hindi movies. The content of the film have been studied and analysed to the portrayal of friendship in the movies and also how it is associated with the people in reality. The study has also analysed the social and other issues prevailing in the society with relation to the friendship shown in the film. It tries to analyse different situations and issues which affects friends and their friendship, shown in the films -
CONTENT ANALYSIS OF EDUCATION NEWS AND SPECIAL FEATURES - A CASE STUDY ON TIMES OF INDIA
Education, in any form of media is an aspect for the audience and it is immensely newsworthy. When the broadcast media counterparts are dominating the print scene, it is important that the newspapers introduce new sections to attract the audience and increase readership. Times of India, the leading Indian English daily is known for its innovative features and stylish presentation. The researcher will look at the serious side of the newspaper and try to establish the efforts and the ideas gone behind covering the education subject and establishing a trust between its readers on education. The researcher will try to identify and analyze the different kinds of features and articles which are constantly placed for the education section and which are different from any other daily newspaper. The paper tries to find out how effective these segments on education can be on the readers. -
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Contemporary Indian Way of Settling Down: Emerging Adults Perspective
Settling down in India historically entailed a culturally constructed notion for individuals, focusing on marriage. An exploration of the modern Indian idea of Settling down was explored in light of the driving forces of globalization and increased migration. The current study explored the concept of Settling down among emerging adults aged between 18 and 29 years who had migrated within the borders of India for education or employment purposes. To this end, semi-structured interviews were conducted. The reflexive thematic analysis method was employed for analysing the data. Emerging themes unveiled that despite marriage being endorsed by a few of the participants, co-habiting relationships were convenient and burden-free. Employment, financial independence, and professional stability emerged as the primary markers of Settling down among migrant emerging adults. It was also recognized that migration had a critical impact on peoples decisions about settling down.. 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. -
Contemporary ethnobotany of pastoralism in semi-arid Deccan region-Koppal district, Karnataka, India
The aim of the current study is on ethnobotanical survey carried out in Koppal district of Karnataka, India. Study focused on exploration of traditional knowledge and pastoral practices of particular communities where livestock rearing activity is potent and use of ethnomedicinal plants in daily livelihood. The landscape was diverse in nature covering semi-arid to modest tropical climate, and unique topography encourage for wide range of vegetation useful for caters to feed the livestock. Methodology used for the study by participant observation, interviews, and transect walks, the study identified 48 plant species from 20 families, with Fabaceae and Poaceae being the most prevalent. These families play a vital role in providing nutritious fodder for livestock and sustaining pastoralists livelihoods. The study resulted pastoralists ethno-veterinary knowledge, where specific plants are used to treat cattle ailments and reflecting their deep understanding of traditional herbal remedies. However, the research finding revealed that some traditional knowledge may be diminishing with the younger generation, stressing the importance of knowledge preservation and transfer. The study underscores the potential benefits of integrating traditional practices with scientific research to optimize the selection and utilization of valuable fodder and veterinary plants. It is evident remarks to add up in the scientific data by collaboration between indigenous communities and scientific institutions for sustainable resource management. 2023, Indian journals. All rights reserved. -
Contemplating hair: Many shades of hair oppression in India
What is it like to be a woman with wavy/curly hair in a country like India? Although hair stories are different for different women, one common hair story for all Indian women with wavy/curly hair is moments of insecurity regarding the normalcy and beauty appeal of their hair. Aside from the discrimination faced due to the texture of hair, Indian women also face restrictions and suffocations in terms of creative self-expression of hair. This chapter presents an overview of the hair culture in India from a historical perspective along with religious narratives. The nature of hair discrimination of women in India is discussed and the chapter also shed light on institutionalised illogical restrictions. The author's personal hair stories will serve as an example to underline the complexity of hair discrimination in India. 2024, IGI Global. All rights reserved. -
Consumption of antibiotics as self-medication from over-the-counter purchase: An empirical study
Objective: The primary objective of this study is to find the reasons behind the practice of self-medication (SM) by the people with over-the-counter (OTC) drugs which are usually available in all medical stores. Methods: This article presents an empirical view of SM practice with OTC drugs. The research design of the study is descriptive, and the population of the study is customers who buy OTC drugs. The target population of this research is the common public who are all having the possibility to consume OTC drugs ever. The sampling technique used for this study is a systematic random sampling, and the sample size is 144. An instrument used for collecting data is a self-administered questionnaire and personal interview with the pharmacists. The data were analyzed using descriptive statistics. Results: The study results that most of the OTC customers consider SM is not a good practice, even though they practice SM of antibiotics in certain circumstances, due to reasons such as time-saving, convenience, cost saving, avoid waiting time to consult a doctor, easy and quick availability of antibiotics in neighbourhood drug stores, etc. Conclusion: The study concludes the reasons behind the SM practice and some remedies to overcome OTC drug-related problems from SM. 2017 The Authors. Published by Innovare Academic Sciences Pvt Ltd. -
Consumption Behaviour of Poor Consumers: A Bibliometric and Content Analysis
The poor people segment has gained considerable scholarly attention, particularly after eight scholars established it as an untapped market. This study attempts to understand the nine consumption behaviours of a poor consumer. Therefore, we collate 384 scholarly papers indexed in the Scopus database, published during the period 19752020. Both evaluative and bibliometric relationship techniques, namely, Biblioshiny and VOSviewer, are utilized to understand the domains progress in the past 45 years. Besides this, content analysis is conducted via hand search to identify the most utilized research methods, popularly applied theories and most explored contexts. Results show that research in this field has grown exponentially, particularly after 2007, with research focusing on low-income consumers, bottom-of-pyramid consumers and mobile money users. The findings indicate this domain demonstrates skewed development, and there is a huge room for future studies. 2022 Fortune Institute of International Business. -
Consuming Identities in Foodways
[No abstract available] -
Consuming Appetites, Disappearing Meals: Things Becoming Food in Chana Porters The Thick and the Lean
This paper aims to highlight the complex entanglements between the material and metaphorical meanings of food in literature through a close reading of Chana Porters The Thick and the Lean (2023). The novel follows the appetites and aspirations of three women in an alternative world where good food is taboo and culinary pleasures are forbidden; instead, abstinence from eating is hailed as the ultimate form of devotion. Drawing on Emma Roes conceptualization of things becoming food, this paper examines the mechanism through which foodstuff gainsor fails to gainmeaning in Porters food-averse universe. It argues that the novel challenges conventional perceptions of female appetites by reconfiguring edibility as constituted through intercorporeal as well as discursive practices. The paper approaches this process as a form of translation, contending that Porter integrates content and form to highlight the resistive potential of food and female appetites in capitalist food systems. 2025 Taylor & Francis Group, LLC. -
Consumers Perspective Toward Fintech Disruption in Financial ServicesA Structural Equation Modeling Approach
For nearly a decade, banks have faced an unprecedented array of challenges, with shrinking revenues and intense pressure from consumers and regulators. Compounding this tough environment is a powerful new force that has emerged to challenge banks, financial technology (FinTech) firms. These innovative start-ups are striving to take a share of financial services customers, products, and revenue. Financial Consumer Demands for Tomorrows Digital Bank, investigated what consumers value from their main financial service provider and how well banks are meeting consumers needs. The study revealed a demand for value-added services that supplement traditional banking products, while also solidifying the importance of seamless, anytime/anywhere, omni-channel service channels. This study is such an attempt to analyze the consumer perspective based on the Fintech Disruption in Financial Services in Pune city among 150 respondents. The tools used for this study are ANOVA, regression analysis, and structural equation modeling (SEM). Hence, this study concludes that financial institutions have a lot on their plate: emerging competitors, shifting demographics, rising customer expectations, and changing regulations. Technology offers solutions, allowing financial institutions to cut costs and become more efficient at what they do. 2025 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.