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Recommender Systems Using Semantic Web Technologies
Recommender Systems (RS) have risen in popularity over the years, and their ability to ease decision-making for the user in various domains has made them ubiquitous. However, the sparsity of data continues to be one of the biggest shortcomings of the suggestions offered. Recommendation algorithms typically model user preferences in the form of a profile, which is then used to match user preferences to items of their interest. Consequently, the quality of recommendations is directly related to the level of detail contained in these profiles. Through the review of related literature, it is evident that the genre of a movie is a major factor influencing user decisions about movies. However, the degree of membership of a movie to a genre is typically unavailable. Sometimes, certain genres memberships to a movie might not be assigned at all. Such genre membership information, if available, would provide a better description of items and consequently lead to quality recommendations. To capture complete information on content pertaining to different genre in movies, we have used two approaches ?? one that utilizes the available binary genre information and augments it by inferring the genre degree using the information available in folksonomies and another that does not rely on previous movie categorization but captures genres that manifest automatically when forming keyword clusters. Folksonomies or tags are user-defined metadata for items and embed abundant information about various facets of user likes and their opinions on the quality and the type of object tagged. The degree of genre presence in a movie is inferred by examining the various tags conferred on them by various users. Leveraging on tags to guide the genre degree determination exploits crowd sourcing to enrich item content description. Fuzzy logic naturally models human logic, allowing for the nuanced representation of features of objects and thus is utilized to derive such gradual representation as well as for modelling user profiles. Fuzzy user and object representations are leveraged for the design of both content-based as well as collaborative recommender systems. Experimental evaluations establish the effectiveness of the proposed approaches as compared to other baselines. We call this the Fuzzy User-Based Recommendation Approach (FUBRA). Keywords related to a movie indirectly contain information related to the various narrative styles. User profiles are also constructed based on user preferences for such keyword clusters. We call this the Keyword Clustering-Based Recommendation Approach (KCBRA).These profiles are then utilized to perform both Content-Based (CB) filtering as well as Collaborative Filtering (CF). This approach scores over the direct keyword-matching, genre-based user profiling method and the traditional CF methods under sparse data scenarios as established by various experiments. -
Redefining Photography in the Era of Artificial Intelligence
[No abstract available] -
Changing Ways of Watching Content But Has Anything Changed?
[No abstract available] -
Rethinking Fate or Maktub in Paulo Coelhos The Alchemist through Taoism
Brazilian author Paulo Coelhos The Alchemist is believed to be a work that inspires readers to reflect upon their dreams and pursue them. While it is a matter of discussion as to what makes the novel so, one of the apparent reasons is the compelling presence of philosophical ideas like Taoism. However, the presence of Taoismthe idea of going with the universes flow - contradicts Coelhos use of the idea of fate or Maktub present in the same work. While Maktub stands for a pre-determined destiny, this research paper closely analyses how Taoist principles in The Alchemist contradict the authors use of the concept of fate or destiny through the actions and dialogues of notable characters. 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. -
Relevance of Symbols in Paulo Coelho's The Alchemist
Brazilian author, Paulo Coelho is known for his tales that inspire readers to overcome conflicts and move toward the 'ultimate truth'. The popularity of such inspirational writings (both fictional and non-fictional) in the new age has given rise to a new literature style. Coelho's fiction, though inspirational, describes journeys that are physical and psychological at the same time. Symbols guide him in his journeys, forming a significant part of the novels. While these novels are said to appear inspirational for depressed souls with a profound philosophical and spiritual dilemma, the study of symbols found in these novels appears significant. This research aims to read closely the novel The Alchemist by Paulo Coelho and evaluate the symbols in it. The research shall attribute the commonly accepted meanings to the symbols and assess the impact of such 'accepted' meanings on the same novel through Peirce's model of semiotic analysis. 2022 Aesthetics Media Services. All rights reserved. -
Villains and Their Logic in Contemporary Films
[No abstract available] -
Application of demand response programs for residential loads to minimize energy cost
Demand response (DR) programs generally is a domineering strength reserve in the upcoming electric power methods. Professional clients, industrial customers, received the key consideration on the precise demand response programs. On the other hand, little clients, like residential customers, provides more the variable answer in most of these functions. The primary purpose of this paper is usually to check out recent demand response programs, and examine various benefits along with significance connected with demand response on residential customers. 2016 IEEE. -
Digital Game Addiction and Children
Nowadays the usage of digital games has increased a lot. Console games, PC games, and online games are all examples of digital games. Aside from these, it has been observed that digital games are also played with portable technologies such as mobile phones and tablets. Childrens play equipment, play habits, and play perceptions have all changed as a result of these changes. As a result, digital games have a significant influence on children. This chapter focuses on the effects of digital games on children and how children became addicted to digital games. It also discusses how to avoid overusing digital games. It also explains the meaning of digital games and discusses their history and future. 2023, IGI Global. -
Equality Versus Discretion in Imposing Death Penalty in The Criminal Justice System : A Comparative Analysis Between India, UK and USA
The criminal justice system has two phases, namely, pre-conviction and postconviction, which are based on some theories which have to be exercised by the four major organs of administration of the criminal justice system, namely police (investigation), prosecution, defence and judiciary as well as correctional institutions. For this purpose, every legal system permits this mechanism to exercise equality and discretion at various phases such that justice is served according to the procedure established by law as it is required. The attempts to maintain a balance between the two in the sphere of criminal justice had begun long ago, although not succeeded yet by various countries. In the United States, more equality is emphasised in the postconviction stage. It focuses on offence egalitarianism quotrather than quotoffender egalitarianismquot. In Europe, the position is almost contrary. In India, strict adherence specifically to neither equality nor discretion at any step cannot be traced out. However, when it comes to sentencing cruel and heinous crimes, almost all countries fix a definite punishment where there is a broad scope for judicial discretion, often ending up squeezing the discretion to attain the idealistic concept of equality. This Study aims to discuss and point out the merits and demerits of the said system with suggestions. -
Multi-variate LSTM with attention mechanism for the Indian stock market
The advent of attention mechanism has surpassed numerous benchmarks and enabled widespread progress in the realm of natural language processing (NLP). Nevertheless, they have not been adequately leveraged in a time-series context. Accordingly, this paper aims to address this issue by proposing a hybrid, deep-learning model that integrates attention mechanisms and multi-variate long short-term memory (LSTM) for financial forecasting in the Indian stock market. Our model yields superior results as compared to baseline and state-of-the-art models evaluated using MAE and RMSE. Moreover, we employed a modern evaluation criterion based on the methodology advocated by DieboldMariano, known as the DieboldMariano test (DM test), as a new criterion for evaluation based on statistical hypothesis tests. DM test has been applied in this study to distinguish the significant differences in forecasting accuracy between LSTM with attention and other models. From the results and according to DM-test it is observed that the differences between the forecasting performances of models are significant and that attention mechanism could enhance the accuracy in predicting stock prices by allowing the model to prioritize and concentrate on the most important features and patterns in the data while avoiding overfitting and noise. 2025 The Author(s) -
Entropy diagnostics for cryptographic key material from random circuit sampling
Random Circuit Sampling (RCS) has emerged as a leading paradigm for demonstrating quantum advantage. Beyond computational complexity, RCS provides a high-dimensional, chaotic probability distribution whose structure is characteristic of random unitary dynamics; here, we study its entropy properties in an ideal statevector baseline intended for later hardware validation. In this work, we present a reproducible validation framework for certifying cryptographic keys using a 12-qubit RCS ensemble (N = 4096 states ) within an ideal quantum simulation framework. Unlike standard Quantum Random Number Generators (QRNGs), which often rely on single-qubit optics, our protocol utilises multi-qubit entanglement to ensure nonlocality. We quantify the security of the system using a dual-metric approach: basis-dependent Min-Entropy (H? ? 9.05 bits ) for cryptographic extractability, and basis-independent Subsystem Von Neumann Entropy (S ? 3.96 bits) for quantum certification. We further demonstrate a privacy-amplification pipeline that uses a frequency-preserving, endian-corrected SHA-3 extraction to produce a 256-bit secure key (candidate key material). This study provides a transparent methodological bridge between the theoretical Quantum Supremacy regime and practical cryptographic key generation. 2026, Taru Publications. All rights reserved. -
Sensor-Integrated Smart Pump forDeep Vein Thrombosis Prevention
Deep Vein Thrombosis (DVT) is the formation of blood clots in the lower limb because of prolonged immobility. Such critical medical conditions can be avoided by regularly using compression cuffs on the limbs; however, traditional compression devices lack adaptability, cause patient discomfort, and have inconsistent pressure application. This study presents a smart wearable and portable compression system integrated with sensors to receive real-time feedback. A DC motor, controlled by an H-bridge converter, inflates the systems inflatable sleeves. The DC motor speed controls the pumping pressure, and a solenoid valve controls the inflation rate. Pressure, temperature, and moisture sensors are embedded in the inner part of the cuff to monitor the physiological parameters. An Arduino-based control system was used to control the inflation rate, air pressure, and duration of compression, optimally ensuring patient comfort. The designed pump was tested and shown adaptability when the sensor data changes. An AI-based control framework is also proposed in this work to enhance the performance and to make the pump autonomous and user-friendly. The response of the proposed AI-based control was validated through simulations of the model developed from fundamentals. The simulation results suggest that the AI-based DVT pump is more adaptable to the physiological parameter variations, even when the parameters change rapidly. The AI-driven model provides faster and more precise control of inflation and deflation patterns, preventing overheating, over-compression, and sweating. This study highlights the feasibility of a smart, wearable DVT pump that can adapt to the compression requirements while ensuring safety and comfort. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. -
Symbols as Photographic Texts in the Travel Narratives of Paulo Coelho
Brazilian writer Paulo Coelho de Souzas The Pilgrimage, The Alchemist, Zahir, Aleph and Hippie are known for using literary symbols to describe journeys where the protagonists travel to different destinations searching for something valuable. The author resorted to multiple religions, cultures, traditions, mythologies and folklore to derive inspiration to use those symbols and frame his philosophical thoughts. As the symbols used by Coelho can be deciphered in whatever way subject to personal interpretations, one way of understanding them can be from the perspectives of their already established meanings in religions, cultures, traditions, mythologies and folklore. Such a way of understanding limits the possible meanings that can be derived from those symbols. Moreover, another sign system is known for conveying limited meanings, usually called photographs. Though absolute material accuracy is seen as the hallmark of photography, the meaning of photographs also depends upon their interpretations, and photographic truth is considered a myth. Still, photographs possess documentary properties and convey limited meanings to a large extent. This thesis studied the idea of photography, defining the same by understanding the historical developments in photography over time. Knowing the definition and properties of photographs, it looked at how photographs convey limited meanings and exhibit 'iconic' properties in general. After isolating and studying the literary symbols used by Coelho in the five travel narratives mentioned above using the Peircean model of semiotic analysis, the thesis concludes that symbols act as photographic texts to a certain limit in the five novels, as they tend to move towards becoming 'iconic' from 'symbolic' if understood from the perspectives of their existing meanings in religions, cultures, traditions,mythologies and folklore. -
Sweet, Identity, and Bengaluru!
[No abstract available] -
Relationship between psychological contract and organisational commitment: an empirical investigation on airline cabin crew
The study explores the link between organisational commitment (OCO) and psychological contract (PCO) among airline cabin crews. The study also investigates the moderation effect of the type of organisation and work experience in the relationship between PCO and OCO. A theoretical model with hypothesised relationship is developed and tested empirically using structural equation modelling with the data generated by means of a questionnaire survey conducted among the airline cabin crew. The study finds that: 1) There is a direct connection between PCO and OCO in the case of both employee PCO and employer PCO; 2) type of the organisation moderates the relation between: a) employers PCO and employees PCO; b) employers PCO and OCO. We also found that the relationship between the PCO and OCO is moderated by the organisation type in the case of cabin crew working for private airlines but not for government-owned airlines. Since a favourable PCO is favourably correlated with OCO, the studys findings would assist airline operators in identifying the critical PCO dimensions that influence their OCO and helping them implement appropriate steps to increase their commitment to their staff. Copyright 2025 Inderscience Enterprises Ltd. -
Psychological contract and oragnisational commitment in the aviation sector
Psychological contract and the organisational commitment in the Aviation sector is the topic chosen for the study. The researcher tries to map the effects of four types of psychological contracts viz: transactional, transitional, behavioural and balanced on the three components of organisational commitment namely Affective, Normative and continuance. The study tries to focus whether the type of company and work experience act as moderating variables in this exploration. The study also checks whether employers Psychological Contract has any medaiating effect in the relationship between employees Psychological newlineContract and Organisational Commitment. Researchers in the past have not considered the Airline sector as far as these two variables are concerned and hence the specific reference to this industry. The study throws light on what type of psychological contracts the airline companies need to foster to get the desired organisational commitment keeping in mind the tenure of the employee and the type of industry. The researcher gathered the employees of the airlines and explained the items in the questionnaire to them and later administered the same. The critical impact of the research is that and#8215;Relational contract obligations and and#8215;Balanced contract obligations are the most important predictors of the employees organisational commitment in the Indian aviation industry. Therefore, airline companies need to adapt measures to foster these contracts inorder to boost the desired commitment. -
Antecedents and consequences of overconfidence bias of stock market investors in Kerala
Keeping in mind the dynamic changes that have been taking place in the Indian stock market, since the emergence of technology, the advancement of the internet even into the remote regions of the country and active involvement of regulators like SEBI, the proposed study is designed to determine the antecedents of overconfidence bias of stock market investors and its consequences on their investment activities. -
Artificial intelligence based system and method for management, recommendation, mapping of skill /
Patent Number: 202111054501, Applicant: Durgansh Sharma.
Artificial intelligence based system (100) and method for management, recommendation, mapping of skill comprising EmpNet (101), recommender system (102), automated machine learning system (103), skillset dataset (104), optimization system (105), industry interface system (106). The method for management, recommendation, mapping of skill comprising the steps of: a) capturing the required skillset personal data by the panchayat system (701); b) verify the skillset (702). -
Design and development of load balancing algorithm for enhance cloud computing performance
Software Applications have taken a leadership position in the field of Information Technology to reduce the human workload. In the case of distributed applications, the scalability of the application is a matter of newlineconcern in the present dynamic scenario. The fast developments in computing resources have reduced the cost of hardware and increased the processing capability of the system remarkably. Still, hosting a distributed newlineapplication in a higher end system is not recommended due to many reasons. Firstly, when there is a massive demand in the usage of the application which is beyond the limit of the system, there is no way to scale newlineit. The second reason is that when the system usage of the application is minimal, the entire infrastructure dedicated to the targeted application will remain idle. newlineDue to the wide acceptability of the industry on cloud computing, the variety of applications are designed to target the cloud platform which is one of the challenges for efficient load balancing in the cloud newlineenvironment. A fair distribution of workload among the available resources is mandatory to improve the efficiency of the cloud platform. To share the workload, a useful load balancing strategy, as well as a timely invocation of the plan, is essential. Invocation of the approach known as triggering policy can be different in centralised and distributed scenarios. Since cloud applications are running in a distributed situation, through this research newlinework, the researcher puts forward a complete framework for balancing load in different types of the request generated in Infrastructure as a Service (IaaS) platform. newlineAs a progressive model, this research work continuously focuses on improving the performance of the load balancer in the IaaS platform. Since the cloud data centres are spread across the globe, a centralised monitoring system to monitor and analyse the resource utilisation in different data newlinecentres is an essential requirement to see the load fluctuations in different clusters. -
I Refuse to Die: Remembering G N Saibaba's Rhetoric of Resistance
The inhuman and brute force that G N Saibaba suffered during and after his arrest makes one question the non-enforcement of the legal rights of a disabled person. 2025 Economic and Political Weekly. All rights reserved.