An Efficient Recommendation System in E-commerce using Passer learning optimization based on Bi-LSTM

Recommendation system services have become crucial for users to access personalized goods or services as the global e-commerce market expands. They can increase business sales growth and lower the cost of user information exploration. Recent years have seen a signifi-cant increase in researchers actively using user reviews to solve standard recommender system research issues. Reviews may, however, contain information that does not help consumers de-cide what to buy, such as advertising or fictitious or fake reviews. Using such reviews to offer suggestion services may reduce the effectiveness of those recommendations. In this research, the recommendation in e-commerce is developed using passer learning optimization based on Bi-LSTM to solve that issue (PL optimized Bi-LSTM). Data is first obtained from the product recommendation dataset and pre-processed to remove any values that are missing or incon-sistent. Then, feature extraction is performed using TF-IDF features and features that support graph embedding. Before submitting numerous features with the same dimensions to the Bi-LSTM classifier for analysis, they are integrated using the feature concatenation approach. The Collaborative Bi-LSTM method employs these features to determine if the model is a recommended product. The PL optimization approach, which efficiently adjusts the classifier's parameters and produces an extract output that measures the f1-score, MSE, precision, and recall, is the basis of this research's contributions. As compared to earlier methods, the pro-posed PL-optimized Bi-LSTM achieved values of 88.58%, 1.24%, 92.69%, and 92.69% for dataset 1, 88.46%, 0.48%, 92.43%, and 93.47% for dataset 2, and 92.51%, 1.58%, 91.90%, and 90.76% for dataset 3

Enhanced Particle Swarm Optimization Algorithms With Robust Learning Strategy For Global Optimization

Particle Swarm Optimization (PSO) is a metaheuristic search (MS) algorithm inspired by the social interactions of bird flocking or fish schooling in searching for food sources. Pengoptimuman Kawanan Zarah (PSO) merupakan satu algoritma pencarian metaheuristik (MS) yang diinspirasi oleh interaksi sosial kumpulan burung atau kawanan ikan semasa pencarian sumber makanan

Applied (Meta)-Heuristic in Intelligent Systems

Engineering and business problems are becoming increasingly difficult to solve due to the new economics triggered by big data, artificial intelligence, and the internet of things. Exact algorithms and heuristics are insufficient for solving such large and unstructured problems; instead, metaheuristic algorithms have emerged as the prevailing methods. A generic metaheuristic framework guides the course of search trajectories beyond local optimality, thus overcoming the limitations of traditional computation methods. The application of modern metaheuristics ranges from unmanned aerial and ground surface vehicles, unmanned factories, resource-constrained production, and humanoids to green logistics, renewable energy, circular economy, agricultural technology, environmental protection, finance technology, and the entertainment industry. This Special Issue presents high-quality papers proposing modern metaheuristics in intelligent systems

Mathematical Problems in Rock Mechanics and Rock Engineering

With increasing requirements for energy, resources and space, rock engineering projects are being constructed more often and are operated in large-scale environments with complex geology. Meanwhile, rock failures and rock instabilities occur more frequently, and severely threaten the safety and stability of rock engineering projects. It is well-recognized that rock has multi-scale structures and involves multi-scale fracture processes. Meanwhile, rocks are commonly subjected simultaneously to complex static stress and strong dynamic disturbance, providing a hotbed for the occurrence of rock failures. In addition, there are many multi-physics coupling processes in a rock mass. It is still difficult to understand these rock mechanics and characterize rock behavior during complex stress conditions, multi-physics processes, and multi-scale changes. Therefore, our understanding of rock mechanics and the prevention and control of failure and instability in rock engineering needs to be furthered. The primary aim of this Special Issue “Mathematical Problems in Rock Mechanics and Rock Engineering” is to bring together original research discussing innovative efforts regarding in situ observations, laboratory experiments and theoretical, numerical, and big-data-based methods to overcome the mathematical problems related to rock mechanics and rock engineering. It includes 12 manuscripts that illustrate the valuable efforts for addressing mathematical problems in rock mechanics and rock engineering

Women in Science 2013

“Women in Science” summarizes research done by Smith College’s Summer Research Fellowship (SURF) Program participants. Ever since its 1967 start, SURF has been a cornerstone of Smith’s science education. In 2013, 167 students participated in SURF, supervised by 57 faculty mentor-advisors drawn from the Clark Science Center’s fourteen science, mathematics, and engineering departments and programs, and associated centers and units. At summer’s end, SURF participants were asked to summarize their research experiences for this publication.https://scholarworks.smith.edu/clark_womeninscience/1000/thumbnail.jp

Incentives, Innovation, and Imitation: Social Learning in a Networked Group

Thesis (Ph.D.) - Indiana University, Psychology, 2010Humans' extraordinary talents for learning from their environments and from each other are the basis of cultural and technological development, but factors affecting the use of these skills such as time, information differences, group size, and material incentives are not yet completely understood. We used a series of laboratory experiments to investigate the causes, consequences, and dynamics of social learning strategies employed by groups of people in complex search environments, and how individual imitation and innovation behaviors affect results at the group level. In these experiments, participants played a simple computer-based puzzle game with others, in which guesses were composed of sets of discrete units that had both linear and interactive effects on score, and each player could view and imitate entire guesses or parts of guesses from others in the group. Players received round-based score feedback about the quality of their own guesses, and in some cases, others' guesses. Our results showed that participants used several social learning strategies previously studied in other species, as well as strategies studied in the context of innovation diffusion, such as imitation biases toward solutions similar to one's own, and toward increasingly popular solutions. We found that the risk of exploring in a large and complex problem space caused participants to take a conservative approach, with small amounts of innovation and imitation used to acquire good solutions and make incremental changes in the search for better ones. Finally, we found that imitation, rather than merely being used to copy others and avoid exploration, was often used by group members to improve on each others' guesses. Contextual factors that disrupted or discouraged imitation generally resulted in poorer outcomes for the entire group, because of a reduced capacity for participants to create such cumulative improvements. These results are discussed in the context of knowledge as a commons, with implications for the promotion of innovations and intellectual property policy

Socio-endocrinology revisited: New tools to tackle old questions

Animals’ social environments impact their health and survival, but the proximate links between sociality and fitness are still not fully understood. In this thesis, I develop and apply new approaches to address an outstanding question within this sociality-fitness link: does grooming (a widely studied, positive social interaction) directly affect glucocorticoid concentrations (GCs; a group of steroid hormones indicating physiological stress) in a wild primate? To date, negative, long-term correlations between grooming and GCs have been found, but the logistical difficulties of studying proximate mechanisms in the wild leave knowledge gaps regarding the short-term, causal mechanisms that underpin this relationship. New technologies, such as collar-mounted tri-axial accelerometers, can provide the continuous behavioural data required to match grooming to non-invasive GC measures (Chapter 1). Using Chacma baboons (Papio ursinus) living on the Cape Peninsula, South Africa as a model system, I identify giving and receiving grooming using tri-axial accelerometers and supervised machine learning methods, with high overall accuracy (~80%) (Chapter 2). I then test what socio-ecological variables predict variation in faecal and urinary GCs (fGCs and uGCs) (Chapter 3). Shorter and rainy days are associated with higher fGCs and uGCs, respectively, suggesting that environmental conditions may impose stressors in the form of temporal bottlenecks. Indeed, I find that short days and days with more rain-hours are associated with reduced giving grooming (Chapter 4), and that this reduction is characterised by fewer and shorter grooming bouts. Finally, I test whether grooming predicts GCs, and find that while there is a long-term negative correlation between grooming and GCs, grooming in the short-term, in particular giving grooming, is associated with higher fGCs and uGCs (Chapter 5). I end with a discussion on how the new tools I applied have enabled me to advance our understanding of sociality and stress in primate social systems (Chapter 6)

11th International Coral Reef Symposium Proceedings

A defining theme of the 11th International Coral Reef Symposium was that the news for coral reef ecosystems are far from encouraging. Climate change happens now much faster than in an ice-age transition, and coral reefs continue to suffer fever-high temperatures as well as sour ocean conditions. Corals may be falling behind, and there appears to be no special silver bullet remedy. Nevertheless, there are hopeful signs that we should not despair. Reef ecosystems respond vigorously to protective measures and alleviation of stress. For concerned scientists, managers, conservationists, stakeholders, students, and citizens, there is a great role to play in continuing to report on the extreme threat that climate change represents to earth’s natural systems. Urgent action is needed to reduce CO2 emissions. In the interim, we can and must buy time for coral reefs through increased protection from sewage, sediment, pollutants, overfishing, development, and other stressors, all of which we know can damage coral health. The time to act is now. The canary in the coral-coal mine is dead, but we still have time to save the miners. We need effective management rooted in solid interdisciplinary science and coupled with stakeholder buy in, working at local, regional, and international scales alongside global efforts to give reefs a chance.https://nsuworks.nova.edu/occ_icrs/1000/thumbnail.jp

Construction morphology:issues in Akan complex nominal morphology

Akan, like any other language, has both regular and irregular complex nominals (CNs). However, previous studies of Akan nominals have been constructive in approach, mostly adhering to a strict form of the principle of compositionality and assuming that the morphological, phonological and semantic properties of CNs can be accounted for fully by tweaking those of their constituents. Consequently, CNs whose properties cannot be so accounted for are either ignored or forced into the mould of regular ones. In this study, I do three things. First, I present a detailed empirically-based assessment of attested CNs in Akan based on a dataset of 1000 CNs drawn from a variety of written sources. This shows that Akan CNs may be grouped into four; compounds, affix-derived CNs, those formed by tonal changes and “lexicalized” forms, which have the form of phrases but occur as CNs and are mostly only partially compositional. Secondly, I present a detailed discussion of the formal and semantic properties of all the attested compounds and a subset of the lexicalized nominals. Thirdly, on the basis of the latter discussion, I examine what the formation and structure of CNs reveal about the interaction between morphology and syntax and about the architecture of the grammar. The analyses show that the formation of CNs in Akan may at once involve morphological and syntactic structure in a way that renders untenable the view that morphology and syntax constitute two completely different modules of the grammar which may be assumed to interact only because the output of the former is the input to the latter. The present study provides support for the constructional view of the grammar