2018 13th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)最新文献

SMAP 2018 List Reviewer Page SMAP 2018名单审核页面

2018 13th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP) Pub Date : 2018-09-01 DOI: 10.1109/smap.2018.8501865

引用次数: 0

Towards the Implementation of a Push-Based Recommendation Architecture 基于推送的推荐体系结构的实现

2018 13th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP) Pub Date : 2018-09-01 DOI: 10.1109/SMAP.2018.8501875

S. Ilarri, Manuel Herrero

引用次数: 2

SMAP 2018 TOC

2018 13th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP) Pub Date : 2018-09-01 DOI: 10.1109/smap.2018.8501867

引用次数: 0

Towards Automated Web Navigation and Search Skill Assessment: An Eye-tracking Study on the Skill Differences 面向自动化网络导航和搜索技能评估:技能差异的眼动追踪研究

2018 13th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP) Pub Date : 2018-09-01 DOI: 10.1109/SMAP.2018.8501883

Jakub Kubanyi, Patrik Hlavac, Jakub Simko, M. Bieliková

引用次数: 1

Building an Urban Theft Map by Analyzing Newspaper Crime Reports 通过分析报纸犯罪报道构建城市盗窃地图

2018 13th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP) Pub Date : 2018-09-01 DOI: 10.1109/SMAP.2018.8501866

Laura Po, Federica Rollo

引用次数: 9

Semantic Modeling for Personalized Dietary Recommendation 个性化饮食推荐的语义建模

2018 13th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP) Pub Date : 2018-09-01 DOI: 10.1109/SMAP.2018.8501864

A. Arens-Volland, B. Gâteau, Y. Naudet

引用次数: 5

SMAP 2018 Message from the Local Organizers SMAP 2018当地主办方寄语

2018 13th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP) Pub Date : 2018-09-01 DOI: 10.1109/smap.2018.8501889

引用次数: 0

A unified semantic sports concepts classification as a key device for multidimensional sports analysis 统一的语义体育概念分类是多维体育分析的关键手段

2018 13th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP) Pub Date : 2018-09-01 DOI: 10.1109/SMAP.2018.8501868

Panagiotis-Marios Filippidis, Charalampos A. Dimoulas, Charalampos Bratsas, A. Veglis

{"title":"A unified semantic sports concepts classification as a key device for multidimensional sports analysis","authors":"Panagiotis-Marios Filippidis, Charalampos A. Dimoulas, Charalampos Bratsas, A. Veglis","doi":"10.1109/SMAP.2018.8501868","DOIUrl":"https://doi.org/10.1109/SMAP.2018.8501868","url":null,"abstract":"Sports analysis tends to be more advanced and sophisticated in the last years, focusing on very detailed aspects of the game in order to result groundbreaking insights. New terms and expressions are shown up, corresponding to novel concepts and elements of sports. The diversity of terms used from various competitions and the media leads to a complexity for automated methods that aim to exploit textual sports sources for their analysis. This work searches, extracts and collects all the distinct terms that are used by major basketball competitions websites, via NLP techniques to create a generic classification of concepts related to basketball actions. The generated competitions vocabularies, as well as the generic vocabulary are transformed into SKOS hierarchical classification schemes and then linked to each other through their similar terms that correspond to the same actions. In this way, the generic basketball actions classification includes all the knowledge from the leagues vocabularies, the concepts and the synonyms from each competition in a hierarchical structure, forming a key device of comparability and aggregation. The use of the unified sports concepts classification could benefit the automation of multidimensional sports analysis through various competitions, years and media resources.","PeriodicalId":291905,"journal":{"name":"2018 13th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)","volume":"339 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126717049","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Sequence Mining within Formal Concept Analysis for Analyzing Visitor Trajectories 基于形式概念分析的序列挖掘访客轨迹分析

2018 13th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP) Pub Date : 2018-09-01 DOI: 10.1109/SMAP.2018.8501882

Nyoman Juniarta, Miguel Couceiro, A. Napoli, Chedy Raïssi

引用次数: 1

Ontology-based Context-aware Recommendation Approach For Dynamic Situations Enrichment 基于本体的动态情境感知推荐方法

2018 13th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP) Pub Date : 2018-09-01 DOI: 10.1109/SMAP.2018.8501880

Abderrahim Lakehal, A. Alti, Sébastien Laborie, P. Roose

{"title":"Ontology-based Context-aware Recommendation Approach For Dynamic Situations Enrichment","authors":"Abderrahim Lakehal, A. Alti, Sébastien Laborie, P. Roose","doi":"10.1109/SMAP.2018.8501880","DOIUrl":"https://doi.org/10.1109/SMAP.2018.8501880","url":null,"abstract":"Currently, we are living in the era of ubiquitous environments, that introduces the possibility to serve users in multiple context situations. Therefore, with this large variety of situations, diversity of preferences, and multiplicity of devices to respond to users’ needs, it becomes a necessity to have a solution that ensures the correct identification of specific situations. Otherwise, the identification process may be incomplete as it could be based beforehand on predefined situation rules, identified either by users or by the developers. Moreover, it is a cumbersome task for each user to identify his specific rules in any daily life cases. This emerges the need to recommend the right situation rule in the right context for the right person. Traditional recommender systems are mostly built to provide recommendations only based on user preferences, using a content or a collaborative approach and neglect situational context information, such as location, time and role. In this paper, we propose ontology-based dynamic context-aware recommendation system that enriches automatically profile’s situation rules in different domains (shopping, work, travel, etc.). It exploits users’ experiences by offering to the users a high level of comfort and a better-customized user experience. A new situation rules’ learning process is proposed to classify situation rules according to rule ontology before applying the recommendation process to achieve a high quality of recommendation considering three context categories (user preference, situation context, and device capability). To illustrate our approach, we have presented a case study that details how the whole process works with our recommendation system.","PeriodicalId":291905,"journal":{"name":"2018 13th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132728889","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8