Unique Tastes Research Articles

Personalized Recommendation Intelligent Fuzzy Clustering Model for theTourism

Personalized recommendations in tourism have transformed the way travellers explore new destinations, offering tailored experiences that align with individual preferences and interests. As the travel industry increasingly harnesses data analytics and artificial intelligence, tourists can now receive customized suggestions that reflect their unique tastes, whether they seek adventure, relaxation, cultural immersion, or culinary exploration. This paper explores the implementation and effectiveness of intelligent tourism management strategies using fuzzy clustering and personalized recommendations. By analyzing various scenarios, including baseline, personalized recommendations, dynamic pricing, crisis management, and enhanced resource allocation, the study demonstrates how advanced data-driven techniques can significantly improve key performance indicators such as visitor satisfaction, total revenue, repeat visitation rates, and operational efficiency. The simulation results reveal that personalized recommendations and optimized resource allocation are particularly effective in enhancing visitor experiences and economic outcomes. Conversely, the analysis underscores the critical need for robust crisis management strategies to maintain performance during adverse events. This research provides valuable insights into the transformative potential of intelligent systems in modern tourism management, offering a pathway towards more resilient and competitive tourism destinations. For instance,personalized recommendations increased average visitor satisfaction from 7.2 to 8.5, total revenue from $500,000 to $600,000, and the repeat visitation rate from 35% to 45%. The dynamic pricing strategy improved visitor satisfaction to 7.8 and revenue to $550,000, while enhanced resource allocation resulted in a satisfaction rate of 7.9 and revenue of $570,000. Conversely, crisis management showed the importance of preparedness, as satisfaction dropped to 6.5 and revenue to $450,000. These results underscore the critical need for robust management strategies.

Lipid profile and anthropometry indices of franchised fast-food consumers in South Western states in Nigeria

Background: Franchised fast foods are known for their unique tastes as it contains a number of spices that makes it delicious. Daily busy schedules have made consumption of franchised fast foods (FFFs) an easy option and control of our food choices even at home. Objective: This research investigated the lipid profile and anthropometric indices of consumers of franchised fast foods (FFFs) in South-Western States in Nigeria. Methods: This was a cross-sectional study in South-West Nigeria and comprised three states: Lagos, Oyo, and Ogun. 300 respondents were recruited from ten (10) purposively selected fast-food outlets in Ikeja, Abeokuta and Ibadan cities, Nigeria. Standardized method for assessing plasma lipid profile was used. A well-structured and pretested questionnaire was used for the survey. The statistical analysis was done using 95% confidence interval and an error percentage of 5%. Results: The major consumers of FFFs are single, younger adults, educated, and relatively high-income earners. Majority of male (39% and 23%) and females (33% and 41%) have excellent and good health status respectively. Significant association was observed between BMI and HDL-C (p=0.009) of male, and Significant differences existed among the BMI and all lipid profiles of female respondents (p<0.050). Conclusion: The study conclude that both genders are at risk of age-related NCDs in the future due to inadequate physical activity and dependence on FFFs. The consumption of FFFs is common among young people, high-income earners and educated people.

Telomere-to-telomere genome assembly of Eleocharis dulcis and expression profiles during corm development

Eleocharis dulcis (Burm. f.) Trin. ex Hensch., commonly known as Chinese water chestnut, is a traditional aquatic vegetable in China, and now is widely cultivated throughout the world because of its high nutritional value and unique tastes. Here, we report the assembly of a 493.24 Mb telomere-to-telomere (T2T) genome of E. dulcis accomplished by integrating ONT ultra-long reads, PacBio long reads and Hi-C data. The reference genome was anchored onto 111 gap-free chromosomes, containing 48.31% repeat elements and 33,493 predicted protein-coding genes. Whole genome duplication (WGD) and inter-genomic synteny analyses indicated that chromosome breakage and genome duplication in E. dulcis possibly occurred multiple times during genome evolution after its divergence from a common ancestor with Rhynchospora breviuscula at ca. 35.6 Mya. A comparative time-course transcriptome analysis of corm development revealed different patterns of gene expression between cultivated and wild accessions with the highest number of differentially expressed genes (DEGs, 15,870) at the middle swelling stage and some of the DEGs were significantly enriched for starch metabolic process.

A COMPARATIVE EXAMINATION ON GENRES OF FOLK LITERATURE IN ANATOLIAN AND AZERBAIJAN FIELDS

Turkey and Azerbaijan, with their deep ties in their roots, are two states, a nation that lives together with the same history, culture, epics, heroism, losses and victories. The cultural values shared by both states are quite similar. Folk literature products, which continue as a continuation of the oral tradition in Anatolia, where the Turks have settled, are composed of genres that are jointly created by societies and that reflect their unique tastes. Folk literature genres include epic, fairy tale, folk tale, legend, folk song, mania, lullaby, lament, riddle, rhyme, idiom and proverb, applause and confusion. The mentioned species are important products that make up societies and keep them together for generations. In this study, folk literature genres in both Anatolia and Azerbaijan will be discussed, and the literary and cultural ties between the two peoples will be tried to be determined by making a comparative analysis between genres as a method. The aim of this study is to examine both prose (epic, tale, folk tale, legend) and verse types (folk song, mania, lullaby, lament, riddle, rhyme, idiom and proverb) applause and confusion) by comparing them with examples. In this context, first literary genres will be mentioned and then the features between genres will be compared.

Comparing physico‐chemical characteristics, antioxidant properties, glycemic response, and volatile profiles of eleven banana varieties

SummaryBanana with different genomic groups has a greater varietal diversity. New varieties are also developed which have unique tastes, and tolerance to biotic or abiotic stresses. Eleven varieties belonging to different genomic groups are evaluated for their nutrients, secondary metabolites, techno‐functional characteristics, antioxidant activities, glycemic indices, and shelf life. Bioactive profiling was also carried out using Gas Chromatography–Mass Spectroscopy (GCMS). Results revealed that plantain and cooking bananas recorded higher fruit weight than dessert bananas. Pulp to peel ratio was higher in the dessert variety Ney Poovan and dual‐purpose variety Popoulu compared to cooking varieties indicating the presence of a thicker skin. Higher resistant starch (39% dry weight) and lower glycemic index (45%–50%) were observed in Kaveri Saba and Monthan. Total phenolics in ripe bananas were significantly higher than in unripe stages. GCMS results showed the predominance of esters and hydrocarbons among banana varieties and the presence of unique volatiles like linoelaidic acid, 9,12‐octadecadienoic acid in Kaveri Sugantham. PCA and cluster analysis indicated that the biochemical parameters also varied with the genomic groups. The study creates new business opportunities for varieties beyond cv. Grand Naine both in the domestic and export markets.

Effects of Novel Preparation Technology on Flavor of Vegetable-Soy Sauce Compound Condiment.

Vegetables contain important bioactive substances which have unique tastes and aromas and provide beneficial effects to human health. In this study, multiflavor blended soy sauce was prepared with the juice of eight kinds of vegetables, dried shrimp boiled stock, and six kinds of commercial soy sauce as raw materials, and thermal ultrasound was used as the sterilization method. The effects of adding different formulas of vegetable and seafood stock on the basic physical and chemical parameters, nutrition, antioxidant activity, flavor, and taste of soy sauce were investigated. The results showed that the basic physicochemical indices such as pH, total acid, color, soluble solids, and amino acid nitrogen of the product with a ratio of soy sauce to vegetable-seafood stock of 1:0.5 (v/v) could meet the production standards of soy sauce, and its flavor, taste, and sensory scores were relatively good, with the highest likeability (overall acceptability). The mixed soy sauce with a ratio of 1:2 (v/v) had higher vegetable and seafood flavors, and different vegetable flavors (celery, carrot, and onion) were more obvious, but its nutritional index was relatively low. Multiflavor vegetable-soy sauce can be used for quick cooking by chefs of catering enterprises, and may be used as a seasoning bag for prefabricated dishes and convenient foods, attracting increasing attention from manufacturers and consumers.

Empowering Sentiment Analysis For Improved Fashion Choices

The world of fashion is dynamic, ever-changing, and deeply influenced by individual preferences and collective sentiment. Making confident and informed fashion choices can be a daunting task, especially in an era marked by rapid trends and diverse styles. The fashion industry is ever-evolving, with trends and styles constantly changing. Making informed fashion choices that align with personal preferences and public sentiment can be challenging. "Empowering Sentiment Analysis for improved fashion choices" presents a novel approach to address this challenge. This abstract introduces a comprehensive framework that harnesses the power of sentiment analysis, a sophisticated natural language processing technique, to provide consumers and fashion enthusiasts with invaluable insights into the realm of fashion. Sentiment analysis, commonly used in understanding public opinions and emotional tones in textual data, is adapted here to decode the fashion landscape. By analyzing textual data from fashion reviews, social media posts, and comments, sentiment analysis can discern public sentiment and opinions about specific clothing items, styles, and trends. The primary objective of this initiative is to empower individuals to make better, more informed fashion choices. Through sentiment analysis, individuals can access an in-depth understanding of the prevailing sentiments and opinions surrounding specific clothing items, styles, and trends. This knowledge equips them with the tools to align their choices with current trends, explore niche styles, or even express their uniqueness confidently. By leveraging the power of machine learning models like Logistic Regression, Naïve Bayes, Support Vector Machines, Random Forest , Ada Boosting and Deep Learning algorithms the sentiment classification models are built. Furthermore, this technology fosters inclusivity and diversity in fashion decision-making by highlighting a wide range of sentiments and opinions. It acknowledges that fashion is a highly personal and subjective domain and helps individuals discover styles that resonate with their unique tastes and values.

DSS METODE AHP DAN TOPSIS DALAM PEMILIHAN RESTORAN DI KOTA PONTIANAK

Each region has a variety of foods and unique tastes, ranging from the type of food, the prices of various foods, the strategic location of food places to the facilities provided to attract the community. As in the city of Pontianak, there are now many restaurants everywhere. However, with the number of restaurants available, it is increasingly difficult for people to determine a restaurant based on the desired criteria. Problems arise when the menus offered on the menu list are not all available, often get complaints of long service, the taste served is not in accordance with people's expectations, the products served are sometimes not in accordance with the prices offered and there are still few references to restaurants in the city. Pontianak. In this study, the authors combine the AHP and Topsis methods to find the best restaurants in Pontianak City. The AHP method is used to calculate the weight of each criterion, while the Topsis method is used to generate preference values ​​and rank recommendation results. There are 5 (five) criteria determined, namely restaurant cleanliness, food and beverage menus, facilities, services and prices. There are 5 (five) alternative restaurants in Pontianak City, A1, A2, A3, A4 and A5. Based on the research that has been done, it can be concluded that the collaboration between the AHP-Topsis method can help decision makers in choosing the best restaurant in Pontianak City. The magnitude of the preference value obtained at each restaurant becomes a reference in the restaurant's assessment. The highest preference value as the first rank is 0.751363589 on A5.

Crustaceans (shrimp, crab, and lobster): A comprehensive review of their potential health hazards and detection methods to assure their biosafety

AbstractCrustaceans are popular seafood items worldwide owing to their rich nutritional value, unique tastes, and their incorporation in a variety of cuisines. There has been a great concern about the safety of crustaceans for human consumption being more prone to hazardous contaminants due to their exposure to diverse habitats and unhealthy farming and handling practices. These hazards can arise from chemical contaminants such as heavy metals, environmental pollutants, and biotoxins or biological sources, that is, pathogenic microbes and parasites. The different types of chemical contamination of crustaceans as well as biological hazards are reviewed as major part of this review. Although there are many reviews on contaminants in fisheries, nothing is traces to crustaceans. The current review compiles the food safety hazards of crustaceans arising from both chemical and biological origins and their impact on human health in farmed versus wild origins. The different methods of contaminants detection, viz. microbiological, molecular, and analytical methods, as well as control measures viz. cooking and processing methods that can be implemented to safeguard consumer safety are also reviewed. Future perspectives have been raised toward HACCP protocol implementation during handling, processing, and storage of crustaceans and posing real‐time freshness monitoring tools such as intelligent packaging.

Vinegar: A functional ingredient for human health

Vinegar is a well-known natural food product derived from alcoholic and subsequently acetous fermentation of carbohydrate-rich foods. Vinegar is widely used in the food industry; domestically for pickling vegetables and fruits, and as an ingredient in condiments like salad dressings, ketchups, and mayonnaise; and traditionally as a food seasoning and preservative. Historically, vinegar has been used for medicinal purposes such as a cure for stomach aches, wounds, burns, rashes, and oedema conditions. Different types of vinegar are found worldwide such as rice, black, balsamic, grain, and fruit vinegars. These are produced from different raw materials, and using different fermentation methods to give unique tastes and flavours. Vinegar, while enhancing physiological functions such as lipid metabolism, blood glucose level control, and body weight management, also possesses anticancer, antibacterial, antioxidant, and anti-infection properties. It is considered as a good source material for many bioactive compounds including organic acids, melanoidins, polyphenols, ligustrazine, and tryptophol. The pharmacological and metabolic benefits of vinegar are believed to be due to these bioactive compounds present in vinegar. Acetic acid (CH3COOH) is the essential component of vinegar; it is slightly volatile and has a strong and sour aroma and flavour. Regular consumption of vinegar-containing foods is considered important for keeping many life-style related diseases like diabetes, hypertension, hyperlipidaemia, cancers, and obesity in check. Therefore, the present review aims at highlighting the health benefits associated with vinegar consumption for the physiological well-being of an individual.

Vinegar: A functional ingredient for human health

Vinegar is a well-known natural food product derived from alcoholic and subsequently acetous fermentation of carbohydrate-rich foods. Vinegar is widely used in the food industry; domestically for pickling vegetables and fruits, and as an ingredient in condiments like salad dressings, ketchups, and mayonnaise; and traditionally as a food seasoning and preservative. Historically, vinegar has been used for medicinal purposes such as a cure for stomach aches, wounds, burns, rashes, and oedema conditions. Different types of vinegar are found worldwide such as rice, black, balsamic, grain, and fruit vinegars. These are produced from different raw materials, and using different fermentation methods to give unique tastes and flavours. Vinegar, while enhancing physiological functions such as lipid metabolism, blood glucose level control, and body weight management, also possesses anticancer, antibacterial, antioxidant, and anti-infection properties. It is considered as a good source material for many bioactive compounds including organic acids, melanoidins, polyphenols, ligustrazine, and tryptophol. The pharmacological and metabolic benefits of vinegar are believed to be due to these bioactive compounds present in vinegar. Acetic acid (CH3COOH) is the essential component of vinegar; it is slightly volatile and has a strong and sour aroma and flavour. Regular consumption of vinegar-containing foods is considered important for keeping many life-style related diseases like diabetes, hypertension, hyperlipidaemia, cancers, and obesity in check. Therefore, the present review aims at highlighting the health benefits associated with vinegar consumption for the physiological well-being of an individual.

Texas in Transition: Considering the Production of Grapes, Wine, and Place

Given the state’s growing prominence in the United States wine industry, paired with its relative obscurity, we explore the cultural and environmental transformation of the state of Texas from the perspective of the b(l)ooming wine industry. Using a qualitative, narrative approach, focused on the two largest and most productive appellations in the state, we form a framework for understanding the historical and contemporary context for wine in Texas. Through participant observation and targeted interviews with growers, winemakers, and other wine industry insiders, we uncover how wine has become a major part of the regional identity of the Texas Hill Country and High Plains. We find that, even though the best wines made in Texas are made from lesser known and harder to market varietals, Texans have embraced the wine (culture) produced in their state. Though, as elsewhere, the industry in Texas is complex and multifaceted, it is still evolving, and industry actors are focusing on making a high quality, tasty product in order to compete with other wine industry giants. Although growers in the Hill Country and High Plains face various challenges, these circumstances demand creativity. However, the challenging circumstances and accompanying creativity are precisely what drive the unique tastes of Texas wines, a reality the Texas wine industry has begun to embrace.

Strategy for strengthening social capital for the geographical indication protection community of Arabica coffee: A case study in the South Tapanuli Regency, Indonesia

Arabica coffee is a strategic commodity in Indonesia, especially in the South Tapanuli Regency, where the population of Arabica coffee farmers is concentrated in this area; their coffee product is known for its unique tastes. This opportunity improves agricultural jobs for young millennials interested in coffee. This research aimed to determine the role of farmers’ institutional social capital in supporting Arabica coffee agribusiness and define the strategy used to strengthen social capital in the community to protect the geographical indications protection community (GIPC) of Arabica coffee in South Tapanuli Regency. The methodologies for this research were both descriptive and qualitative approaches. The research used 15 informants from GIPC. The data analysis techniques included data reduction, presentation, conclusion, and verification. Three components were found after analyzing the social capital of GIPC Arabica coffee Sipirok’s institution in supporting the growth of Arabica coffee agribusiness in South Tapanuli Regency; they were norms, trust, and social networking. Therefore, the coffee agribusiness development strategy in South Tapanuli Regency was to strengthen internal GIPC and increase administrators' and members' capacity to consensus or mutual agreement related to GIPC institutional governance.

Robot-enhanced diabetes care for middle-aged and older adults living with diabetes in the community: A small sample size mixed-method evaluation.

This study assessed robot-enhanced healthcare in practical settings for the purpose of community diabetes care. A mixed method evaluation collected quantitative and qualitative data on diabetes patients over 45 (N = 30) and community pharmacists (N = 10). It took 15-20 min for the diabetes patients to interact with the robot. Before and after the interaction, questionnaires including a diabetes knowledge test, self-efficacy for diabetes, and feasibility of use of the robot was administered. In-depth interviews with both pharmacists and patients were also conducted. After interacting with the robot, a statistically significant improvement in diabetes knowledge (p < .001) and feasibility of the robot (p = .012) was found, but self-efficacy (p = .171) was not significantly improved. Five themes emerged from interviewing the diabetes patients: Theme 1: meets the needs of self-directed learning for the elderly; Theme 2: reduces alertness and creates comfortable interaction; Theme 3: vividness and richness enhance interaction opportunities; Theme 4: Robots are not without disadvantages, and Theme 5: Every person has unique tastes. Three themes emerged from interviewing pharmacists: Theme 1: Technology must meet the real needs of the patient; Theme 2: creates new services, and Theme 3: The use of robots must conform to real-life situations. Both the diabetes patients and the pharmacist reported more positive feedback on the robot-enhanced diabetes care than concerns. Self-directed learning, comfortable interaction, and vividness were the most focuses when using robot to enhance self-management for the patients. Pharmacists were most receptive to fit conforming with reality and creating new services.

Influence of Different Defoliation Timings on Quality and Phenolic Composition of the Wines Produced from the Serbian Autochthonous Variety Prokupac (Vitis vinifera L.)

The variety Prokupac is the dominant variety in the vineyards of Southern Serbia, which produces quality wines of characteristic and unique tastes. In the agroecological conditions of the Prokuplje vine district, the influence of manual defoliation on the phenolic profile of the wine produced from the variety Prokupac was examined. Four experimental treatments with different timings of manual defoliation were applied: early defoliation—treatment I, early defoliation—treatment II, late defoliation—treatment III and the control. The phenolic profile of the wine was determined for the three treatments of defoliation and the control treatment. Additionally, a multivariate analysis was applied on the obtained results, together with already published data (grape seeds and skins phenolic profiles). Identification and quantification of the phenolic compounds was performed using ultra-high-performance liquid chromatography (UHPLC) with an ultraviolet multi-diode detector (DAD) and mass detector with three analyzers—triple quadrupole (QQQ). Based on the obtained results, it was determined that there are significant differences between the experimental treatments in the content of individual polyphenols, total polyphenols and the antioxidant capacity. Twenty (20) phenolic compounds were identified in the wine samples of the experimental treatments. Defoliation significantly affected the variations of the contents of phenolic acids and flavonoids. In treatment III, the highest content of gallic acid was obtained, while the treatments with early defoliation did not differ in relation to the control sample. Early defoliation in treatments I and II had an effect on the phenolic composition of the wine by favoring the accumulation of flavonol, while the content of hydroxycinnamic acid and total anthocyanins (TAC) was higher in treatment III. The TAC increases with later defoliation. The wines obtained by the defoliation treatments did not show higher antioxidant activity compared to the control sample. A principal component analysis resulted in clustering of the samples based on the phenolic components characteristic for each group of samples.

Postharvest quality monitoring and cold chain management of fresh garlic scapes based on a wireless multi‐sensors system

AbstractFresh garlic scape is popular for its unique tastes and special antibacterial effect. As a kind of seasonal vegetable, it has huge quality decay after harvesting, and usually by low temperature storage to approach the round‐year supply. However, it lacks cold chain management directions and transparency, which depends heavily on the real‐time information of the process environments and the quality of fresh garlic scapes. With the analyzed quality‐related indicators, including temperature, relative humidity, gas composition and vibration, a multi‐sensors information acquisition system based on wireless sensor network was designed and developed. Then, the process of the fresh garlic scapes supply were systematically analyzed and identified, and the proposed system was also evaluated using the monitored data in current practices. Results show that the transportation and cold storage occupies an important position in the typical garlic scapes supply process, which has continuous influences on the quality preservation. The developed system functions well, and the wireless multi‐sensors nodes can real‐time monitor environmental information with high data reliability. The data evaluation also demonstrates the association of the monitored quality‐related data with the supply process stage. Meanwhile, it is the visualization of the quality‐related data that enhance the real‐time sensing of the quality in storage, the transparency of the supply process and the cold chain management level. Furthermore, the system should be further enhanced with the better data quality acquired by the nodes for better quality sensing and management of the fresh garlic scapes supply process.Practical ApplicationsSignificant benefits of this work are anticipated on the postharvest and preservation of garlic scapes to the market and reduction of its losses in the postharvest chain.

Designing the content of advertising in a differentiated market

In many markets, consumers use attribute information to assess the value they expect from purchasing a product or service. This includes many low involvement experience goods including take-out food, many packaged good categories and restaurants. In these markets, quality differences exist but many differences are horizontal in nature: the consumer is interested in finding a product that meets her unique tastes. Beyond ensuring that consumers know the brand, the category and the price; it seems advertising should provide consumers with attribute information. However, a significant proportion of advertising does not provide it. In fact, within the same category, competitors respond to messages that emphasize detailed attribute information with messages that are devoid of attribute information. These messages are uninformative about product attributes. We explore how competition in a differentiated market is affected by the ability of a firm has to choose uninformative messages. We construct a model to investigate the factors that affect a firm’s decision to use advertising with detailed attribute information or advertising that does not provide it. The model demonstrates that content decisions about advertising are affected by the differences between products, the range of heterogeneity in consumer tastes and the degree to which costs increase as a function of the quantity of information in advertising. Surprisingly, even when the cost to increase the quantity of information in advertising is low, uninformative campaigns can be more profitable than campaigns with attribute information. The analysis also demonstrates that firms can be more likely to provide attribute information when there are less consumers that are attribute-sensitive. Finally, the model shows that uninformative messages can create “artificial differentiation” in some situations.

Physicochemical properties, sugar profile, and non-starch polysaccharides characterization of old wheat malt landraces

Craft beers produced by small breweries are becoming increasingly popular worldwide due to their unique composition, taste, and flavour. Wheat malt is a traditional brewing raw material with great potential to improve beer properties such as mouthfeel, foam, haze, and flavour. In this study, the malting quality of eight wheat varieties (four common and four durum) was evaluated to explore the feasibility of producing 100 % wheat malt beer from old landraces. The physicochemical characteristics such as friability, Kolbach index, viscosity, and colour, of the wheat malts indicated a better degree of modification in the common wheat varieties when compared to that of the durum wheat varieties. The wheat malts showed a proper enzymatic pattern, and significant differences in the enzyme activities were observed in durum and common wheat malts which affected the non-starch and starch polysaccharide content. The sugar content, profile, and extract levels of the congress worts were comparable to those of commercial malts. This study could be a useful resource that enables small brewing and malting to extend their product portfolio and promote the use of old landraces to produce beers with unique tastes and profiles.

Analisa Perilaku Konsumen Dalam Pengambilan Keputusan Pembelian Jajanan Pasar Pada Masa Pandemi Covid-19 Di Kecamatan Delta Pawan Kabupaten Ketapang

The world is currently experiencing a crisis caused by the Corona pandemic. The virus which has another name COVID-19 has also succeeded in changing people's behavior. Such as social distancing, for example, which affects changes in consumer behavior. Jajanan pasar are traditional Indonesian foods that are traded in markets, especially in traditional markets, usually made with unique tastes and attractive shapes. The purpose of this study is to determine the influence of consumer behavior factors (occupation, income, number of dependents, education level and age) in making decisions to purchase market snacks during the Covid 19 pandemic.The analytical method used is logistic regression analysis, which is one of the mathematical model approaches used to analyze the relationship of one or more independent variables with a dichotomous / binary categorical dependent variable. The results of the study explained that during the Covid pandemic 19 factors - consumer behavior factors in making decisions on buying market snacks in Delta Pawan District, Ketapang Regency, namely work, income, number of dependents, level of education and age did not have a significant effect on consumer behavior in making snack buying decisions. market in Delta Pawan District. Keywords: Covid 19, jajanan pasar, logistic regression

Catering for unique tastes: Targeting grey-sheep users recommender systems through one-class machine learning

In recommendation systems, the grey-sheep problem refers to users with unique preferences and tastes that make it difficult to develop accurate profiles. That is, the similarity search approach typically followed during the recommendation process fails to yield good results. Most research does not focus on such users and thus fails to cater to more exotic tastes and emerging trends, leading to a subsequent loss in revenue and marketing opportunities. One suggested solution is to use one-class classification to generate a prediction list for these users, where decision boundaries are learned that distinguish between normal and grey-sheep users. In this paper, we present the grey-sheep one-class recommendation (GSOR) framework designed to create accurate prediction models while taking both regular and grey-sheep users into account. In addition, we introduce a novel grey-sheep movie recommendation benchmark to be used by current and future researchers. When evaluating our GSOR framework against this benchmark, our results indicate the value of combining cluster analysis, outlier detection, and one-class learning to generate relevant and timely recommendation lists from data sets that contain grey-sheep users. Specifically, by employing one-class decision tree algorithms, our GSOR framework was able to outperform traditional collaborative filtering-based recommendation systems in both accuracy and model construction time. Furthermore, we report that having grey-sheep users in the system often had a positive impact on the learning and recommendation processes.