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A multilayer ontology-based hybrid recommendation model

Iván Cantador, Alejandro Bellogín, Pablo Castells
2008 AI Communications  
We propose a novel hybrid recommendation model in which user preferences and item features are described in terms of semantic concepts defined in domain ontologies.  ...  The exploitation of meta-information describing the recommended items and user profiles in a general, portable way, along with the capability of inferring knowledge from the relations defined in the ontologies  ...  The expressed content is the view of the authors but not necessarily the view of the MESH or S5T projects as a whole.  ... 
doi:10.3233/aic-2008-0437 fatcat:xqz7zrx4jfhexkorvslhxwffuu

Measuring Vertex Centrality in Co-occurrence Graphs for Online Social Tag Recommendation

Iván Cantador, David Vallet, Joemon M. Jose
2009 European Conference on Principles of Data Mining and Knowledge Discovery  
We present a social tag recommendation model for collaborative bookmarking systems.  ...  The tags (vertices) of this reduced graph that have the highest vertex centrality constitute our recommendations, which are finally ranked based on TF-IDF and personalisation based techniques.  ...  The expressed content is the view of the authors but not necessarily the view of SALERO, MIAUCE and SEMEDIA projects as a whole.  ... 
dblp:conf/pkdd/CantadorVJ09 fatcat:fqbklrchtbb3rcbe62xzk45zci

An Enhanced Semantic Layer for Hybrid Recommender Systems

Iván Cantador, Pablo Castells, Alejandro Bellogín
2011 International Journal on Semantic Web and Information Systems (IJSWIS)  
As a proof of concept and evaluation testbed, the approach is evaluated through its implementation in a news recommender system, in which it is tested with real users.  ...  Recommender systems have achieved success in a variety of domains, as a means to help users in information overload scenarios by proactively finding items or services on their behalf, taking into account  ...  Evaluating content-based collaborative recommendations A second experiment was conducted with News@hand to evaluate the multilayer hybrid recommenders.  ... 
doi:10.4018/jswis.2011010103 fatcat:q7nptioe6zawzi7de7dj3dezcm

Application of Collaborative Filtering and Data Mining Technology in Personalized National Music Recommendation and Teaching

Meilin Lu, Fangfang Deng, Chi-Hua Chen
2021 Security and Communication Networks  
Second, we designed a multilayer collaborative filtering ethnic music recommendation model based on ontology modeling and tensor decomposition.  ...  To this end, this paper proposes a method of national music recommendation based on ontology modeling and context awareness to explore the use of music resources to portray user preferences better.  ...  We designed a multilayer collaborative filtering ethnic music recommendation model based on ontology modeling and tensor decomposition. e model combines the gradient-enhanced decision tree algorithm, uses  ... 
doi:10.1155/2021/3140341 fatcat:ifu7tintrbfg3dougzci6woaei

Data-Science Recommendation System using Semantic Technology

2019 International Journal of Engineering and Advanced Technology  
Ontology based service-oriented web platform with a conversational user interface that use NLP (Natural Language Processing) to recommend possible resources is proposed and tested to be efficient  ...  Data science recommendation system using semantic web data-science ontology and service-oriented architecture is proposed in our work to recommend students the appropriate resources for their queries.  ...  says about an Integrated Hybrid Recommendation Model Using Graph Database [11] .  ... 
doi:10.35940/ijeat.a9375.109119 fatcat:gj5lbvh4qvc6xls6oxqijjicyy

A Novel Analysis and Prediction of Students' Behaviour Using Semantic Similarity-Based Improved J48 IL Algorithm in Personalized Library Ontology

Fernandez Fernandez, Ramalingam Ponnusamy
2018 International Journal of Intelligent Engineering and Systems  
We propose Ontology-based structure for personalized library usage environment which discover user's behaviour by their learning feedback.  ...  It has the ability to signify the domain knowledge in a distinct and unambiguous manner.  ...  Boufardea Evangelia and Garofalakis John proposed an ontology-based distance learning structure which develops a recommendation system to forecast learner's evolution and their ultimate performance [12  ... 
doi:10.22266/ijies2018.1031.16 fatcat:xfk7ozzthrf4bboxkuv7d2oz6a

A Movie Recommender System using Ontology Based Semantic Similarity Measure

The proposed approach is based on a new ontology based semantic similarity measure.  ...  Recommender systems play a vital role in dealing with information overload problems.  ...  This hybrid recommender system is motivated by content-based recommendations (domain ontology model) and rule-based (learner"s interest-based and cluster-based) recommendations.  ... 
doi:10.35940/ijitee.k2338.1081219 fatcat:xvjkvwiq4rgydps5xhlo7ip27u

Ontology-Based Analysis of Manufacturing Processes: Lessons Learned from the Case Study of Wire Harness Production

László Nagy, Tamás Ruppert, János Abonyi, Muhammad Javaid
2021 Complexity  
The main contributions of the work are that it highlights ontologies that are suitable for manufacturing management and recommends the multilayer-network-based interpretation and analysis of ontology-based  ...  This article not only serves as a reference for engineers and researchers on ontologies but also presents a reproducible industrial case study that describes the ontology-based model of a wire harness  ...  It led to the development of the Siemens-Oxford Model Manager (SOMM) tool to support engineers in creating ontology-based models [80] . e applicability of a graph-based framework for Advanced Manufacturing  ... 
doi:10.1155/2021/8603515 fatcat:g3sdso6jfrhg3juzzdcoc7hrga

Towards a Semantic Graph-based Recommender System. A Case Study of Cultural Heritage

Sara Qassimi, El Hassan Abdelwahed
2021 Journal of universal computer science (Online)  
Our proposed approach represents a semantic graph-based recommender system of cultural heritage places through two steps; (1) constructing an emergent semantic description that semantically augments the  ...  place and (2) effectively modeling the emerging graphs representing the semantic relatedness of similar cultural heritage places and their related tags.  ...  We compared the RS based on graph database with the hybrid-based recommender system 'Hybrid-RS' that uses both filtering approaches CB and CF.  ... 
doi:10.3897/jucs.70330 fatcat:7m7h5whp4jhvzatit5hbd6hdu4

A Systematic Mapping Review on MOOC Recommender Systems

Imranuddin, Ali Shariq Imran, Khan Muhammad, Nosheen Fayyaz, Muhammad Sajjad
2021 IEEE Access  
[119] used a hybrid filtering technique that combined collaborative filtering with an ontology-based approach.  ...  [95] proposed hybrid knowledge based approach based on ontology to model learners, learning activities and domain in order to recommend learning objectives. Finally, Singelmann et al.  ... 
doi:10.1109/access.2021.3101039 fatcat:vnhraonfujgstdvcnpcwi6lxxe

Effective Cross Synthesized Methodology for Movie Recommendation with Emotion Analysis through Ranking Score

R Lavanya, B Bharathi
2022 International Journal of Advanced Computer Science and Applications  
In this work, a high-efficient hybrid recommendation algorithm is proposed, which deeds users' contour attributes to screen them into various groups and recommends movie to a user based on rating given  ...  A hybrid system offers a good trade-off between the accuracy and computations needed for such recommendations.  ...  criteria for ontology based recommendations.  ... 
doi:10.14569/ijacsa.2022.0130528 fatcat:ibqzu52emnbpjcvuthddcywlmu

Extracting multilayered Communities of Interest from semantic user profiles: Application to group modeling and hybrid recommendations

Iván Cantador, Pablo Castells
2011 Computers in Human Behavior  
Specifically, we outline here how they can be used to model group profiles and make semantic content-based collaborative recommendations.  ...  This paper describes a proposal to automatically identify Communities of Interest from the tastes and preferences expressed by users in personal ontology-based profiles.  ...  The ontology-based representation is richer and less ambiguous than a keyword-based or item-based model.  ... 
doi:10.1016/j.chb.2010.07.027 fatcat:lqy4ojydwreezhkcl6zkeyryce

Neural Network-Based Model for Predicting Preliminary Construction Cost as Part of Cost Predicting System

Diana Car-Pusic, Silvana Petruseva, Valentina Zileska Pancovska, Zlatko Zafirovski, Carles Serrat
2020 Advances in Civil Engineering  
This paper presents a combination of process-based and data-driven model for construction cost prediction in early project phases.  ...  Bromilow's "time-cost" model is used as process-based model and general regression neural network (GRNN) as data-driven model.  ...  basics. (3) Creating a proposal for cost prediction system ontology. (4) Predicting construction costs by using a hybrid process-based and data-driven model. (5) Recommendations for the results' integration  ... 
doi:10.1155/2020/8886170 fatcat:2xyvolc45nauzlrxxyp4tlfu2u

Automatic Hashtag Recommendation in Social Networking and Microblogging Platforms Using a Knowledge-Intensive Content-based Approach

2019 International Journal of Engineering  
In this paper, a new knowledge-intensive content-based #tag recommendation system is introduced. The proposed system works by integrating structured knowledge in every core component.  ...  At the end, #tags are recommended to users based on #tags in contextually similar messages. The system is evaluated on Tweets2011 dataset.  ...  in semantic networks. (4) Using the graphical structure of semantic networks to model the semantics and information-content of messages. (5) Introducing a novel hybrid and multilayer semantic similarity  ... 
doi:10.5829/ije.2019.32.08b.06 fatcat:o2x7evr3kzftlfrd44ayk2o224

A Cold Start Context-Aware Recommender System for Tour Planning Using Artificial Neural Network and Case Based Reasoning

Zahra Bahramian, Rahim Ali Abbaspour, Christophe Claramunt
2017 Mobile Information Systems  
The objective of the research presented in this paper is to introduce a hybrid interactive context-aware tourism recommender system that takes into account user's feedbacks and additional contextual information  ...  It offers personalized tours to the user based on his preferences thanks to the combination of a case based reasoning framework and an artificial neural network.  ...  A metalevel hybrid recommender system is a class of hybrid recommender system that uses the model learned by one recommender system as an input for another [47] .  ... 
doi:10.1155/2017/9364903 fatcat:p4rvyfswbjbmzplrgbkhw2gvki
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