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Applying Multicriteria Algorithms to Restaurant …

https://ieeexplore.ieee.org/document/6040501

Abstract: In this paper we propose two novel multicriteria recommendation algorithms and present a comparison with other recommendation approaches in the gastronomic domain. The motivation comes from the fact that traditional single criterion approaches consider that two users share the same taste when they provide similar global ratings on the experienced items.


Applying Multicriteria Algorithms to Restaurant …

https://www.researchgate.net/publication/224261664_Applying_Multicriteria_Algorithms_to_Restaurant_Recommendation

Request PDF | Applying Multicriteria Algorithms to Restaurant Recommendation | In this paper we propose two novel multicriteria recommendation algorithms and present a …


Applying Multicriteria Algorithms to Restaurant …

https://www.semanticscholar.org/paper/Applying-Multicriteria-Algorithms-to-Restaurant-Sanchez-Vilas-Ismoilov/32fd904ebc97ed555aff6982298abc04014d4156/figure/2

DOI: 10.1109/WI-IAT.2011.124 Corpus ID: 17266274; Applying Multicriteria Algorithms to Restaurant Recommendation @article{SanchezVilas2011ApplyingMA, title={Applying …


Applying Multicriteria Algorithms to Restaurant …

https://www.semanticscholar.org/paper/Applying-Multicriteria-Algorithms-to-Restaurant-Sanchez-Vilas-Ismoilov/32fd904ebc97ed555aff6982298abc04014d4156

Experiments conducted on Santiago(e)Tapas, a real gastronomic contest where customers evaluate different aspects of several restaurants, demonstrate that one of the algorithms, …


Applying Multicriteria Algorithms to Restaurant …

https://www.semanticscholar.org/paper/Applying-Multicriteria-Algorithms-to-Restaurant-Sanchez-Vilas-Ismoilov/32fd904ebc97ed555aff6982298abc04014d4156/figure/0

Figure 1. Item views. The item is represented as a cube and its features as spheres. Views can be understood as the different cube sides that could be perceived by the users. In reality, each …


Applying Multicriteria Algorithms to Restaurant …

https://www.semanticscholar.org/paper/Applying-Multicriteria-Algorithms-to-Restaurant-Sanchez-Vilas-Ismoilov/32fd904ebc97ed555aff6982298abc04014d4156/figure/1

DOI: 10.1109/WI-IAT.2011.124 Corpus ID: 17266274. Applying Multicriteria Algorithms to Restaurant Recommendation @article{SanchezVilas2011ApplyingMA, title={Applying …


Applying Multicriteria Algorithms to Restaurant …

https://dl.acm.org/doi/abs/10.1109/WI-IAT.2011.124

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Applying Multicriteria Algorithms to Restaurant …

https://dl.acm.org/doi/pdf/10.1109/WI-IAT.2011.124

Abstract—In this paper we propose two novel multicriteria recommendation algorithms and present a comparison with other recommendation approaches in the gastronomic domain. The …


Applying Multicriteria Algorithms to Restaurant …

https://www.computer.org/csdl/proceedings-article/wi-iat/2011/4513a087/12OmNzkuKCF

In this paper we propose two novel multicriteria recommendation algorithms and present a comparison with other recommendation approaches in the gastronomic domain. The …


Applying multicriteria algorithms to restaurant …

https://investigacion.usc.gal/documentos/5d95c93c29995243e27c7968

In this paper we propose two novel multicriteria recommendation algorithms and present a comparison with other recommendation approaches in the gastronomic domain. The …


Applying Multicriteria Algorithms to Restaurant Recommendation ...

https://www.sciencegate.app/document/10.1109/wi-iat.2011.124

Applying Multicriteria Algorithms to Restaurant Recommendation 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology 10.1109/wi …


CiTIUS | Applying Multicriteria Algorithms to Restaurant …

https://citius.usc.es/pdf/p/394

Title: CiTIUS | Applying Multicriteria Algorithms to Restaurant Recommendation Created Date: 9/14/2022 4:28:10 PM


A Multi-criteria Review-Based Hotel Recommendation System

https://www.researchgate.net/publication/308839326_A_Multi-criteria_Review-Based_Hotel_Recommendation_System

The empirical results strongly indicate that our approach enables the application of existing two-dimensional recommendation algorithms in multidimensional data, exploiting the …


Restaurant Recommendation System based on the content in …

https://medium.com/mlearning-ai/restaurant-recommendation-system-based-on-the-content-in-reviews-dfc3351004db

The CSV data file was collected from the Kaggle website. This dataset contains reviews of restaurants from Zomato. The data contains ~51,000 records and 17 …


Application of multicriteria algorithm to select suitable areas for ...

https://www.sciencedirect.com/science/article/pii/S187661021402342X

Application of multicriteria algorithm to select suitable areas for storing CO 2: ... it is likely that multicriteria algorithms can facilitate the evaluation of the best alternative under …


How to Build a Restaurant Recommendation System Using Latent …

https://towardsdatascience.com/how-to-build-a-restaurant-recommendation-system-using-latent-factor-collaborative-filtering-ffe08dd57dca

Recommender Systems or Recommendation Systems are simple algorithms that aim to provide the most relevant and accurate items (products, movies, events, articles) to the …


Ranking Methods for Multicriteria Decision-Making: Application to ...

https://www.hindawi.com/journals/sp/2021/5513860/

A description of the assessment function used by Sala et al. [] is as follows: first, the expected running time (ERT), a widely used performance metric for optimization …


A systematic literature review of multicriteria recommender …

https://link.springer.com/article/10.1007/s10462-020-09851-4

We considered what are the most common research problems, recommendation approaches, data mining and machine learning algorithms mentioned in these studies. …


Feeding the Algorithm: How Restaurants Use Data to Capture …

https://www.bcg.com/publications/2018/feeding-algorithm-restaurants-use-data-capture-competitive-advantage

Uber has applied a digital native’s perspective to the problem of fast, reliable, predictable restaurant meal delivery. The company is changing the game for brands—as well …


Multicriteria Algorithm for Multisensory Food Analysis - IntechOpen

https://www.intechopen.com/chapters/75440

Observation of the multisensory experience using fMRI, EEG and analysis of users’ responses using Fuzzy logic. The tabulation of these data aims to verify the responses and …


Restaurant Recommendation System Using Machine Learning …

https://www.researchgate.net/publication/354238686_Restaurant_Recommendation_System_Using_Machine_Learning_Algorithms

Restaurant recommendation system is a very popular service whose accuracy and sophistication keeps increasing every day. With the advent of smartphones, web 2.0 and …


An Application of a Multicriteria Approach to Compare Economic …

https://link.springer.com/chapter/10.1007/978-3-642-37140-0_53

The results of this application can be useful for investors, business leaders, and policy-makers. This study also contributes to an important, yet relatively new, body of application-based …


Application of multicriteria algorithm to select suitable areas for ...

https://cyberleninka.org/article/n/611804

In this article we propose a methodology based on (i) data recompilation and (ii) mathematical algorithm to define criteria and to hierarchy all of them in a quantitative methodology. …


New Recommendation Techniques for Multicriteria Rating Systems

https://www.researchgate.net/publication/3454465_New_Recommendation_Techniques_for_Multicriteria_Rating_Systems

Gediminas Adomavicius et. al. [1] proposed New Recommendation Techniques for Multicriteria Rating Systems that explain personalization technologies and recommender …


Applying multicriteria decision analysis to design safe road …

https://journals.open.tudelft.nl/ejtir/article/view/3100

The aim of this paper is to highlight the added value and limits of such an approach. A case study is analysed in order to quantify these arguments. In particular, we …


Multicriteria Algorithms for Multisensory Design

https://www.researchgate.net/publication/343482228_Multicriteria_Algorithms_for_Multisensory_Design

Download Citation | Multicriteria Algorithms for Multisensory Design | Verbal responses are not always consistent with neural responses when asked about a particular …


New Recommendation Techniques for Multicriteria Rating Systems

https://www.semanticscholar.org/paper/New-Recommendation-Techniques-for-Multicriteria-Adomavicius-Kwon/f311be6e576a91e45f90ad2d7b258643d7d9cad6

This paper proposes a utility-based multi-criteria recommendation algorithm, in which the user expectations are learned by different learning-to-rank methods, which …


New recommendation techniques for multicriteria rating systems

https://experts.umn.edu/en/publications/new-recommendation-techniques-for-multicriteria-rating-systems

Recommender systems are usually classified according to their recommendation approach including, content-based approaches, collaborative filtering, and hybrid approaches. The overall …


Multi-Criteria Recommender Systems | SpringerLink

https://link.springer.com/chapter/10.1007/978-1-4899-7637-6_25

2.2 Extending Traditional Recommender Systems to Include Multi-Criteria Ratings . With a growing number of real-world applications, extending recommendation techniques to …


Multicriteria Recommendation Method of Tourist Routes Based …

https://www.hindawi.com/journals/misy/2022/9168899/

A multicriteria recommendation algorithm for tourist routes under the multidimensional expanded spatial grid structure model based on fuzzy C-means clustering of …


Multicriteria recommendation based on bacterial foraging …

https://onlinelibrary.wiley.com/doi/abs/10.1002/int.22688

Accuracy-oriented recommender systems focus on the prediction power of algorithms and neglect that users may appreciate diverse and novel recommendations in real …


Multicriteria - an overview | ScienceDirect Topics

https://www.sciencedirect.com/topics/computer-science/multicriteria

Chandramouli Das, ... Chittaranjan Pradhan, in Cognitive Big Data Intelligence with a Metaheuristic Approach, 2022. 7 Conclusion. Multicriteria recommender systems are becoming an essential …


Artificial Neural Networks and Particle Swarm Optimization …

https://www.mdpi.com/2227-9709/5/2/25/htm

In restaurant recommendation, Fernando et al. ... Lousame, F.P.; Sanchez, E.; Lama, M. Applying multicriteria algorithms to restaurant recommendation. In Proceedings of the 2011 …


Multicriteria recommendation based on bacterial foraging …

https://onlinelibrary.wiley.com/doi/full/10.1002/int.22688

The proposed optimization-based multicriteria recommendation algorithm is compared with existing methods on both benchmark functions and real-world data sets. The …


A Multicriteria Collaborative Filtering Approach Using The …

https://www.tandfonline.com/doi/pdf/10.1080/08839514.2014.962279

many users of recommendation applications are typically interested in only the few highest-ranked item recommendations (Adomavicius and Kwon 2007), the goal of the proposed …


Evaluation of Multicriteria Decision Analysis Algorithms in

https://pubmed.ncbi.nlm.nih.gov/31469918/

Several multicriteria decision analysis (MCDA) algorithms are currently used, mostly individually, in food safety to rank different options in a multifactorial environment. However, the selection …


Multicriteria Algorithms for Multisensory Design | SpringerLink

https://link.springer.com/chapter/10.1007/978-3-030-55307-4_12

Application > Sensory scale (linguistic variables and neural response) - I created > Multicriteria algorithm for sensory analysis - I created > ARM (open) and EEG (impacted areas) …


Food Recommendation System Using Machine Learning

https://www.academia.edu/42686073/Food_Recommendation_System_Using_Machine_Learning

Traditional Recommender Systems recommend items on the basis of a single criterion whereas rates of hotel food take many different criteria for each item. Although rating system of food …


GitHub - sandhyamurali23/Web-Service-Recommendation-using …

https://github.com/sandhyamurali23/Web-Service-Recommendation-using-Improved-Collaborative-Filtering

Designed and developed a recommendation system to recommend the most suitable web services to the user by applying multicriteria decision making technique on the …


Improving the Prediction Accuracy of Multicriteria …

https://thesai.org/Downloads/Volume5No4/Paper_9-Improving_the_Prediction_Accuracy_of_Multicriteria_Collaborative_Filtering_by_Combination_Algorithms.pdf

which is called as multicriteria collaborative filtering [7]. The approach is a variation of the collaborative filtering using many criteria in representing the rating of users’ interest. The idea …


Optimization of Urban Landscape Planning and Layout under …

https://www.hindawi.com/journals/mpe/2022/2991188/

The layout and planning of urban landscape has a strong correlation with urban land utilization rate and ecological environment index. Urban landscape architects have a hard …


Generic algorithm for multicriteria ranking of crop technological ...

https://www.icarda.org/publications/29527/generic-algorithm-multicriteria-ranking-crop-technological-options-based

Generic algorithm for multicriteria ranking of crop technological options based on the “Technique for Order of Preference by Similarity to Ideal Solution” using ShinyApps. ... We …


Multicriteria Model for Sorting the Quality of Services Provided by ...

https://link.springer.com/chapter/10.1007/978-3-030-73603-3_48

The proposal is based on adapting and applying a multicriteria and multiple evaluators outranking algorithm to a dataset collected in a survey filled by 1935 customers …


Multicriteria Model for Shared Parking and Parking Route …

https://www.hindawi.com/journals/jat/2022/8369362/

Based on the proposed improved ant colony algorithm, we can solve the optimal parking route recommendation. The parameters are given as follows: the number of ants is …


restaurant-recommendation · GitHub Topics · GitHub

https://github.com/topics/restaurant-recommendation

3rd Year: 1st - 92. A Novel Context Aware Restaurant Recommender System Using Content-Boosted Collaborative Filtering (CACBCF). collaborative-filtering recommender-system …


Application of multicriteria algorithm to select suitable areas for ...

https://scite.ai/reports/application-of-multicriteria-algorithm-to-xbRV93

Mentioning: 11 - Application of multicriteria algorithm to select suitable areas for storing CO2: CO2SiteAssess software - Llamas, Bernardo, Cámara, Ángel


Allocation and Optimization of Public Sports Facilities Resources …

https://www.hindawi.com/journals/mpe/2022/5947769/

The application of fuzzy multicriteria algorithm and neural network technology in decision-making of public sports facilities were shown in Section 3. Section 4 analyzes the …


Sustainability | Free Full-Text | Application of the Multicriteria ...

https://www.mdpi.com/2071-1050/14/19/12062

(1) Background: comprehending market concentration and its implications is one of the most crucial aspects of studying and evaluating competition issues, and this is gaining …


N-Screen Aware Multicriteria Hybrid Recommender System Using …

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4131427/

Abstract. This paper presents a recommender system for N-screen services in which users have multiple devices with different capabilities. In N-screen services, a user can …

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