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Semantically-enhanced Topic Recommendation System for Software Projects [article]

Maliheh Izadi, Mahtab Nejati, Abbas Heydarnoori
2022 arXiv   pre-print
We propose two recommender models for tagging software projects that incorporate the semantic relationship among topics.  ...  Then, (2) we build two recommender systems; The first one operates only based on the list of original topics assigned to a repository and the relationships specified in our knowledge graph.  ...  Acknowledgements We would like to thank all the participants in constructing and evaluating our knowledge graph, as well as assessing our recommender model.  ... 
arXiv:2206.00085v1 fatcat:gbewzfakrzbddcox4mgr33orhm

Semantically-enhanced advertisement recommender systems in social networks

Ali Pazahr, J. Javier Samper Zapater, Francisco García Sánchez, Carmen Botella, Rafael Martinez
2016 Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services - iiWAS '16  
Semantically-enhanced advertisement recommender systems in social networks.  ...  Most of recommender systems do not use a semantic methodology to enhance the performance of their recommender system but in the current framework, as a semantic approach for generating recommendations  ... 
doi:10.1145/3011141.3011489 dblp:conf/iiwas/PazahrZSBM16 fatcat:oi4kf355ovhkvl3wckpzfjajsu

An Enhanced Semantic Layer for Hybrid Recommender Systems

Iván Cantador, Pablo Castells, Alejandro Bellogín
2011 International Journal on Semantic Web and Information Systems (IJSWIS)  
The enhanced semantics support the development of contextualisation capabilities, and enable performance improvements in recommendation methods.  ...  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.  ...  Section 3 describes the proposed ontology-based representation for recommender systems. Section 4 explains the recommendation methods we have built upon that enhanced semantic representation.  ... 
doi:10.4018/jswis.2011010103 fatcat:q7nptioe6zawzi7de7dj3dezcm

Semantically-enhanced pre-filtering for context-aware recommender systems

Victor Codina, Francesco Ricci, Luigi Ceccaroni
2013 Proceedings of the 3rd Workshop on Context-awareness in Retrieval and Recommendation - CaRR '13  
6HYHUDO UHVHDUFK ZRUNV KDYH GHPRQVWUDWHG WKDW LI XVHUV ¶ UDWLQJV are truly context-dependent, then Context-Aware Recommender Systems can outperform traditional recommenders.  ...  In this paper we present a novel contextual pre-filtering approach that exploits the implicit semantic similarity of contextual situations.  ...  context when the system is requested to make a recommendation in that target situation.  ... 
doi:10.1145/2442670.2442674 fatcat:ofxjnqoocjecpbpjg47r6yn6yu

A semantic enhanced hybrid recommendation approach: A case study of e-Government tourism service recommendation system

Malak Al-Hassan, Haiyan Lu, Jie Lu
2015 Decision Support Systems  
Recent developments in personalization and recommendation techniques support the use of semantic enhanced hybrid recommender systems, which incorporate ontology-based semantic similarity measure with other  ...  Recent developments in personalization and recommendation techniques support the use of semantic enhanced hybrid recommender systems, which incorporate ontology-based semantic similarity measure with other  ...  Even though progress is being made in developing efficient strategies for estimating the semantic similarity of items in semantic enhanced recommendation systems, this work is still in an early stage and  ... 
doi:10.1016/j.dss.2015.02.001 fatcat:25mtatqjlnd37d5ynjzmt2blm4

Affective issues in Semantic Educational Recommender Systems

Olga C. Santos, Jesus Boticario
2012 European Conference on Technology Enhanced Learning  
In this paper we discuss the benefits of considering affective issues in educational recommender systems and describe the extension of the Semantic Educational Recommender Systems (SERS) approach, which  ...  Addressing affective issues in the recommendation process has shown their ability to increase the performance of recommender systems in non-educational scenarios.  ...  Semantic Educational Recommender Systems) approach [20] .  ... 
dblp:conf/ectel/SantosB12 fatcat:eiuxarsxobggfbfpwxhugrhcey

The Semantics of Movie Metadata: Enhancing User Profiling for Hybrid Recommendation [chapter]

Márcio Soares, Paula Viana
2017 Advances in Intelligent Systems and Computing  
The work presented in this paper tries to solve this ambiguity by exploiting hidden semantics in metadata elements.  ...  In movie/TV collaborative recommendation approaches, ratings users gave to already visited content are often used as the only input to build profiles.  ...  Acknowledgment The work was partially supported by FourEyes, a RL within Project "TEC4Growth -Pervasive Intelligence, Enhancers and Proofs of Concept with Industrial Impact/NORTE-01-0145-FEDER-000020",  ... 
doi:10.1007/978-3-319-56535-4_33 fatcat:eq5pr6eclnc73a244qsu7abx2a

SEMAG: A Novel Semantic-Agent Learning Recommendation Mechanism for Enhancing Learner-System Interaction

Cuong Dinh Hoa Nguyen, Ngamnij Arch-int, Somjit Arch-int
2017 Computing and informatics  
In this paper, we present SEMAG -a novel semantic-agent learning recommendation mechanism which utilizes the advantages of instructional Semantic Web rules and multi-agent technology, in order to build  ...  The learning space is spread to the social network, with the aim of increasing the interaction between students and the intelligent tutoring system.  ...  Therefore, social networks may be integrated into e-learning systems in order to broaden the learning space, and increase the learners' ITS interaction, with the aim of enhancing learning performances.  ... 
doi:10.4149/cai_2017_6_1312 fatcat:oej6lxqn35htzddq6btcuwlshy

An Enhancement of Svm Based Semantically Enriched Variable Length Confidence Pruned Markov Chain Model Based Web Page Recommendation System

2020 International journal of recent technology and engineering  
Semantic Variable Length Markov Chain Length Model (SVLMC) is a web page recommendation system which combined the fields of semantic web and web usage mining by the Markov transition probability matrix  ...  Then the performance of web page recommendation is improved by ranking the web pages using page ranking technique. Thus the performance of web page recommendation generation system has been improved.  ...  Semantic Variable Length Markov Chain Model (SVLMC) [2] was used to improve the recommendation accuracy by combining detailed semantic data with recommendation process.  ... 
doi:10.35940/ijrte.e6927.018520 fatcat:mmcwqn2ncnfsvgxt2qk3nt6s5e

Enhancing a Location-based Recommendation System by Enrichment with Structured Data from the Web

Max Schmachtenberg, Thorsten Strufe, Heiko Paulheim
2014 Proceedings of the 4th International Conference on Web Intelligence, Mining and Semantics (WIMS14) - WIMS '14  
Recommender systems have been researched intensively over the last two decades [2, 17] .  ...  In a series of offline experiments, we show that the quality of recommendations can be improved by 51% in precision and 150% in recall.  ...  An enhancement of these basic models are context-based recommender systems.  ... 
doi:10.1145/2611040.2611080 dblp:conf/wims/SchmachtenbergSP14 fatcat:aorvmf2khbbvpg6bfhu26lejf4

Using Tags for Measuring the Semantic Similarity of Users to Enhance Collaborative Filtering Recommender Systems

Ayman S. Ghabayen, Shahrul Azman Mohd Noah
2017 International Journal on Advanced Science, Engineering and Information Technology  
The growing popularity of tagging systems is leading to an increasing need for automatic generation of recommended items for users.  ...  We believe that this approach better reflects the semantic similarity between users according to their tagging perspectives and consequently improves recommendations through the identification of semantically  ...  Hence, it demonstrates that representing simple semantic information is capable of enhancing the performance of recommendation systems.  ... 
doi:10.18517/ijaseit.7.6.1826 fatcat:dcbfr6r7nrdtbfujrnmdwb7kpu

A service concept recommendation system for enhancing the dependability of semantic service matchmakers in the service ecosystem environment

Hai Dong, Farookh Khadeer Hussain, Elizabeth Chang
2011 Journal of Network and Computer Applications  
To solve this issue, in this paper, we propose the framework of a service concept recommendation system, which is built upon a semantic similarity model.  ...  This system can be employed to seek the concepts used to correctly represent service consumers' requests, when a semantic service matchmaker finds that the service concepts that are eventually retrieved  ...  system.  ... 
doi:10.1016/j.jnca.2010.11.010 fatcat:ckb5iir3vndwjfv5dkxuzhdmtu

A Recommendation System for the Semantic Web [chapter]

Victor Codina, Luigi Ceccaroni
2010 Advances in Intelligent and Soft Computing  
Recommendation systems can take advantage of semantic reasoningcapabilities to overcome common limitations of current systems and improve the recommendations' quality.  ...  In this paper, we present a personalizedrecommendation system, a system that makes use of representations of items and user-profiles based on ontologies in order to provide semantic applications with personalized  ...  In this paper, we describe how the accuracy of recommendation systems is higher when semantically-enhanced methods are applied.  ... 
doi:10.1007/978-3-642-14883-5_6 dblp:conf/dcai/CodinaC10 fatcat:5zkhekfknfheppqdikmphbwhw4

SEWeP: A Web Mining System Supporting Semantic Personalization [chapter]

Stratos Paulakis, Charalampos Lampos, Magdalini Eirinaki, Michalis Vazirgiannis
2004 Lecture Notes in Computer Science  
We present SEWeP, a Web Personalization prototype system that integrates usage data with content semantics, expressed in taxonomy terms, in order to produce a broader yet semantically focused set of recommendations  ...  This system integrates usage data with content semantics, expressed in taxonomy terms, in order to produce semantically enhanced navigational patterns that can subsequently be used for producing valuable  ...  Empirical Evaluation The main advantage of SEWeP is the involvement of semantics in the recommendation process resulting in semantically expanded recommendations.  ... 
doi:10.1007/978-3-540-30116-5_63 fatcat:bz2cjmsqtjd4dbfr4bwo5ialty

Survey Paper on Website Recommendation System Using Browser History and Domain Knowledge

2015 International Journal of Science and Research (IJSR)  
This paper presents a new framework for a semantic-enhanced Web-page recommendation. This proposed system consists of three models. First two models represent the domain knowledge.  ...  The proposed system automatically discovers and constructs the domain and Web usage knowledge bases, and generate effective Webpage recommendations.  ...  In a Web Personalization system [15] ontology is used to semantically enhance web logs.  ... 
doi:10.21275/v4i12.nov151843 fatcat:7hrpvllir5al5ll77moegx57tu
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