Search Results - (( developing consumer purchase algorithm ) OR ( java implication based algorithm ))

Analysis of online CSR message authenticity on consumer purchase intention in social media on Internet platform via PSO-1DCNN algorithm by Li, Man, Liu, Fang, Abdullah, Zulhamri

“…In this context, it has become an important topic to study the relationship between the authenticity of online CSR communication messages and consumers’ purchase intentions. This work proposes an algorithm based on PSO-1DCNN joint optimization to analyze the impact of online CSR information authenticity on consumers’ purchase intention in social media on the Internet platform. …”
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A collaborative filtering recommender system for infrequently purchased product using slope-one algorithm and association rule mining by Zolhani, Nur Azleen

“…Meanwhile, in tourism it is quite challenging in making recommendation because hotels are occasionally being booked or purchased by consumer. This is due to the fact that travelling are expensive and time consuming. …”
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Customer behavior analysis based on purchasing history and reviews using automated decision-making systems by Allur, Naga Sushma, Deevi, Durga Praveen, Dondapati, Koteswararao, Chetlapalli, Himabindu, Kodadi, Sharadha, Perumal, Thinagaran

“…Techniques: Then, the decision-making process is used to analyze the customer’s data using the regression algorithm. Result: This results in the proposed model, the relationship of the many business models, the formation of the purchases that affect consumer needs, and the strategies that can be developed. …”
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Decision tree and rule-based classification for predicting online purchase behavior in Malaysia / Maslina Abdul Aziz, Nurul Ain Mustakim and Shuzlina Abdul Rahman by Abdul Aziz, Maslina, Mustakim, Nurul Ain, Abdul Rahman, Shuzlina

“…The absence of specific predictive models and the complexity of socio-cultural diversity further complicate the efforts toward understanding consumer preferences. Therefore, this research tries to fill in some of the gaps by applying decision tree and rule-based algorithms to classify online purchasing behavior amongst Malaysian consumers. …”
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Modeling purchase intention towards edible bird's nest products among Malaysians by Mohamad Shukri, Nurul Nabilah Huda, Mohd Nawi, Nolila, Abdullah, Amin Mahir, Man, Norsida

“…This study aims to determine factors that influence consumers’ intention in purchasing EBN products. The number of complete response from the survey were 1310 samples. …”
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Smart Brokering for Household Items by Lee , Jia Zhen

“…This project proposes the development of a Smart Brokering System for product price survey activity so that to ease consumers in their daily routine in selecting the household products. …”
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Smart bidding modern antique eShop by Soon, Yu Siang

“…So does the antique shop, as this Modern antique shop that we are going to develop, will be one of a complete e-shop that will convenient the consumer by applying different kind of feature and algorithm in the proposed system. …”
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Intent-IQ: customer’s reviews intent recognition using random forest algorithm by Mazlan, Nur Farahnisrin, Ibrahim Teo, Noor Hasimah

“…Two machine learning model is chosen to build the classification models which are Random Forest (RF) algorithm and Multinomial Naïve Bayes (MNB) algorithm. …”
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The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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Classification and visualization of e-commerce product reviews comparison using support vector machine / Nuwairah Aimi Ahmad Kushairi by Ahmad Kushairi, Nuwairah Aimi

“…Online customers or shoppers rely on these reviews as decision-making to purchase products. It becomes time-consuming to read through the reviews, especially when it is not product related. …”
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SRcS: Smartphone Recommendation System using genetic algorithm / Nursalsabiela Affendy Azam by Affendy Azam, Nursalsabiela

“…Thus, the objective of the system is to design and develop a progressive web application (PWA) recommendation system for purchasing a smartphone by using genetic algorithm and test the system functionality. …”
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From AI to Experience How Personalization Shapes Online Shopping Journeys in E-Marketplaces by Raeni Dwi, Santy, Yoga, Wicaksana, Mohammad Fauzil, Adhim

“…Using the recent development of social commerce integration into e-commerce, particularly the merger of TikTok and Tokopedia, as a contextual backdrop, the research highlights how recommendation algorithms, chatbots, and personalized content contribute to consumer decision-making processes. …”
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Grocery Recommender System / Naajihah Mustapa by Mustapa, Naajihah

“…A collaborative filtering algorithm is selected. The development of the application is successfully developed with the result of precision 94%, recall 88%, and f-measure 91%.…”
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Development of intelligent evaluation system for product end-of-life selection strategy by Zakri, Ghazalli

“…As the world population increases exponentially, the number of products purchased and consumed is also increasing. The rapid pace of technological changes renders some products obsolete even though they are still new and in excellent condition. …”
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Internet access using encrypted membercard / Muhammad Syafiq Sopian by Sopian, Muhammad Syafiq

“…The cybercafé use token system to generate user id and password by purchasing token according to the hours of use. It brings many disbenefit to the user in term of time consuming, security and availability of equipment. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Statistical approach in analyzing fuel efficiency of diesel SUVs in Indonesia using MATLAB by Canda Lesmana Ginting, Asaeli Tongoni Lase, Farrah Anis Fazliatul Adnan, Jong Soo Rhee, Dianta Ginting

“…These results provide valuable insights for manufacturers in designing more fuel-efficient SUVs and for consumers making informed purchasing decisions. Ultimately, this research contributes to the development of more sustainable transportation solutions by highlighting the importance of optimizing vehicle design and engine specifications to reduce fuel consumption in the near term.…”
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