Kleopatra G. Konstanteli, A. Voulodimos, Konstantinos Psychas, Dimitri Nicolopoulos, Anthousis Andreadis, Simon Crowle, D. S. Osborne, Manolis Wallace, A. Yannopoulos, T. Varvarigou
{"title":"Leveraging Social Media and Multimedia Services for QoE Enhancement in Cultural Industries","authors":"Kleopatra G. Konstanteli, A. Voulodimos, Konstantinos Psychas, Dimitri Nicolopoulos, Anthousis Andreadis, Simon Crowle, D. S. Osborne, Manolis Wallace, A. Yannopoulos, T. Varvarigou","doi":"10.1109/SMAP.2013.12","DOIUrl":"https://doi.org/10.1109/SMAP.2013.12","url":null,"abstract":"The advancement of ICT has brought about significant changes in the way the cultural and creative industries work as well as in the experience they offer. However there is still a lot of potential that can be leveraged to advance the state of the art in the way the public shares collective cultural experiences. In this paper, we employ different concepts and technologies, such as high quality multimedia content production and delivery, social media interaction, and methodologies for monitoring and analyzing social network activity, to revamp the experience offered in cultural and educational centres. In addition to an increased Quality of Experience, the proposed system involves significant benefits for the organizers as well, providing them with feedback based on social analytics. The experimental system has been successfully deployed and used in the \"Hellenic Cosmos\" cultural center.","PeriodicalId":136289,"journal":{"name":"2013 8th International Workshop on Semantic and Social Media Adaptation and Personalization","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121210186","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}
Joana Cósta, Catarina Silva, B. Ribeiro, M. Antunes
{"title":"CrowdTargeting: Making Crowds More Personal","authors":"Joana Cósta, Catarina Silva, B. Ribeiro, M. Antunes","doi":"10.1109/SMAP.2013.20","DOIUrl":"https://doi.org/10.1109/SMAP.2013.20","url":null,"abstract":"Crowd sourcing is a bubbling research topic that has the potential to be applied in numerous online and social scenarios. It consists on obtaining services or information by soliciting contributions from a large group of people. However, the question of defining the appropriate scope of a crowd to tackle each scenario is still open. In this work we compare two approaches to define the scope of a crowd in a classification problem, casted as a recommendation system. We propose a similarity measure to determine the closeness of a specific user to each crowd contributor and hence to define the appropriate crowd scope. We compare different levels of customization using crowd-based information, allowing non-experts classification by crowds to be tuned to substitute the user profile definition. Results on a real recommendation data set show the potential of making crowds more personal, i.e. of tuning the crowd to the crowd target.","PeriodicalId":136289,"journal":{"name":"2013 8th International Workshop on Semantic and Social Media Adaptation and Personalization","volume":"31 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131103212","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}
Martín López Nores, Y. Blanco-Fernández, A. Gil-Solla, M. Cabrer, J. G. Duque, J. Pazos-Arias
{"title":"Leveraging Short-Lived Social Networks in Museums to Engage People in History Learning","authors":"Martín López Nores, Y. Blanco-Fernández, A. Gil-Solla, M. Cabrer, J. G. Duque, J. Pazos-Arias","doi":"10.1109/SMAP.2013.14","DOIUrl":"https://doi.org/10.1109/SMAP.2013.14","url":null,"abstract":"The interactions enabled by the popular sites of the Web 2.0 are largely confined to the virtual world of the Internet, thus failing to engage people in relevant interactions with people, contents or resources in their physical environment. In this paper, we motivate the potential of automatically establishing sporadic social networks among people (acquaintances or strangers) who happen to be physically close to one another at a certain moment. We present the design of one platform intended to provide solutions from the lowest level of establishing ad-hoc connections among nearby mobile devices, up to the highest level of automatically identifying the most relevant pieces of information to deliver at any time. One specific scenario is discussed for museum environments, considering the possibility of engaging groups of people into immersive collective experiences to learn about major historical events.","PeriodicalId":136289,"journal":{"name":"2013 8th International Workshop on Semantic and Social Media Adaptation and Personalization","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124731427","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}
{"title":"Context-Based Satisfaction Modelling for Personalized Recommendations","authors":"Michal Kompan, M. Bieliková","doi":"10.1109/SMAP.2013.18","DOIUrl":"https://doi.org/10.1109/SMAP.2013.18","url":null,"abstract":"Approaches for the personalized recommendations focus mainly on the user's activity over various portals. User's preferences are not dependent on the long term users' history only, but actual user's situation plays crucial role in the user's preferences adjustment and formation. An item liked by the user in some context, can be disliked by the same user in the other context. For the considering this users' variability we propose a novel approach for the user's satisfaction modelling based on incorporating the user's context into the rating prediction and consideration of previous users' rating history. Our novel approach reflects natural characteristics of user's context, when the various context's settings can influence another context. Proposed approach brings statistically significant improvement in the rating prediction process, thus it can increase user satisfaction during one-session recommendation.","PeriodicalId":136289,"journal":{"name":"2013 8th International Workshop on Semantic and Social Media Adaptation and Personalization","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134035610","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}
{"title":"Based on the Social Network Evaluation Model of Short-Term Interaction with Followers Micro-Blogging Marketing","authors":"Shuai Shao, Cheng Li","doi":"10.1109/SMAP.2013.7","DOIUrl":"https://doi.org/10.1109/SMAP.2013.7","url":null,"abstract":"The paper presents an AISAS model used to describe the amplification, attenuation of influence and other complex process in marketing process, and the research of using influences and the amount of followers as an index in micro-blogging marketing. Specifically, we present a quantitative relationship between micro-blogging marketing influence and followers amounts used in information sharing, evaluation of marketing effects and adopting social network method to analysis users centrality from point centrality, between ness centrality and closeness centrality. Based on collecting, organizing true data of six typical marketing cases in Sina Micro-blogging, we use correlation and regression analysis to verify rationality of the model and give corresponding suggestions of developing marketing effect by using network topology relationships and searching key nodes.","PeriodicalId":136289,"journal":{"name":"2013 8th International Workshop on Semantic and Social Media Adaptation and Personalization","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116953182","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}
{"title":"Context-Aware Quality Adaptation Using Rich Explict Constraints in E-Health System","authors":"A. Alti, Sébastien Laborie, P. Roose","doi":"10.1109/SMAP.2013.11","DOIUrl":"https://doi.org/10.1109/SMAP.2013.11","url":null,"abstract":"One of the key aspects of any e-health application is the quality management of urgent situations. Currently, these situations are accessible on a wide variety of embedded sensors. The heterogeneity of such sensors and the diversity of user's needs require management quality of service and adapatation to different critical situations (e.g. hypoglycemic diabetic coma). Since the last decade, a fair amount of research has been conducted in order to develop adaptation platforms. These platforms generally adapt services in order to comply with dynamic context evolution. However, we have noticed that current adaptation platforms do not fully exploit the semantic benefits for describing the heterogeneous contexts, the adaptation process. In this paper we propose a model for specifying rich contexts containing explicit constraints expressions with qualitative and quantitative information. Our proposal has the great advantage to offer to users a global flexible adaptation infrastructure exploiting semantic information at multiple levels, i.e., from the design level to the run-time level. To demonstrate the utility of our approach, we propose the design of an ambient system applied to a diabetes case study.","PeriodicalId":136289,"journal":{"name":"2013 8th International Workshop on Semantic and Social Media Adaptation and Personalization","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125802539","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}
Vincent Martin, Emmanuel Bruno, Elisabeth Murisasco
{"title":"Predicting the French Stock Market Using Social Media Analysis","authors":"Vincent Martin, Emmanuel Bruno, Elisabeth Murisasco","doi":"10.4018/IJVCSN.2015040104","DOIUrl":"https://doi.org/10.4018/IJVCSN.2015040104","url":null,"abstract":"In this article, we try to predict the next-day CAC40 index. We apply the idea of Johan Bollen et al. from [1] on the French stock market and we conduct our experiment using French tweets. Two analysis are applied on tweets: sentiment analysis and subjectivity analysis. Results of these analysis are then used to train a simple neural network. The input features are the sentiment, the subjectivity and the CAC40 closing values at day-1 and day-0. The single output value is the predicted CAC40 closing value at day+1. We propose an architecture using the JEE framework resulting in a better scalability and an easier industrialization. Experiments are conducted over 5 months of data. We train our neural network on 3/4 of the data and we test predictions on the remaining quarter. Our best run gives a direction accuracy of 80% and a mean absolute percentage error (MAPE) of 2.97%. Results are not as good as those reported in [1] but many modifications can be applied in order to improve the performance: classically by adding more features but we mainly aspire to a system where the user can integrate its own expertise.","PeriodicalId":136289,"journal":{"name":"2013 8th International Workshop on Semantic and Social Media Adaptation and Personalization","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125810866","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}
{"title":"Towards Learning Personalized Semantic Relevance Paths in Dialogue Systems","authors":"Panos Alexopoulos, M. Wallace","doi":"10.1109/SMAP.2013.24","DOIUrl":"https://doi.org/10.1109/SMAP.2013.24","url":null,"abstract":"When interacting with information access systems, users have typically distinct interests, preferences and goals that may significantly influence the way they judge the relevance of these systems' outputs. User modeling aims at capturing such interests and preferences in the form of personalized user profiles which could be then used by the systems to provide tailored information services to their users. In this context, we present in this paper a novel ontology-based user profile for personalized information access which, different from the majority of existing approaches, captures user preferences in the form of semantic relevance paths within the ontology graph. More importantly, we present an automated approach for learning and maintaining such profiles in dialogue systems by taking advantage of the dialogue-based interaction between the system and the user and eliciting from the latter important feedback regarding the relevance of the provided information.","PeriodicalId":136289,"journal":{"name":"2013 8th International Workshop on Semantic and Social Media Adaptation and Personalization","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117329432","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}
Georgios Siolas, G. Caridakis, Phivos Mylonas, S. Kollias, A. Stafylopatis
{"title":"Context-Aware User Modeling and Semantic Interoperability in Smart Home Environments","authors":"Georgios Siolas, G. Caridakis, Phivos Mylonas, S. Kollias, A. Stafylopatis","doi":"10.4018/IJVCSN.2015070102","DOIUrl":"https://doi.org/10.4018/IJVCSN.2015070102","url":null,"abstract":"Current paper investigates how user modeling, context awareness and content adaptation in Smart Home environments can be handled formally in order to capture the semantics that emerge from a newly introduced user experience: SandS is in fact a complete ecosystem of users within a social network, creating and exchanging content in the form of so-called recipes and developing a collective intelligence which adapts its operation through appropriately feedback provided by the user. We will approach SandS from the user's perspective and illustrate how users and their relationships can be modeled through a number of fuzzy stereotypical profiles. Additionally, context modeling in pervasive computing systems and especially in the Smart Home paradigm will be examined through appropriate representation of context cues in the overall interaction. Finally we will investigate how users and system services although using languages of different semantic expressiveness can inter-operate successfully thanks to appropriate knowledge-based expert mappings.","PeriodicalId":136289,"journal":{"name":"2013 8th International Workshop on Semantic and Social Media Adaptation and Personalization","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114150855","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}
{"title":"Trending Words in Digital Library for Term Cloud-Based Navigation","authors":"Samuel Molnar, Róbert Móro, M. Bieliková","doi":"10.1109/SMAP.2013.23","DOIUrl":"https://doi.org/10.1109/SMAP.2013.23","url":null,"abstract":"The clouds consisting of tags or keywords provide an alternative and often more readable navigation interface by exploiting visual features of words placed in a cloud and augmenting their information value with different font size and color. However, existing approaches for cloud navigation rely mostly on frequency of terms and do not adapt to the users' needs. In the paper, we propose a method for term cloud navigation which exploits navigation history as a source of metadata for personalized navigation. We consider trending words in users' navigation history as a relevant factor determining users' interests while navigating. In addition, we recognize a position of a word in a query to have an important role and rank the list of the documents accordingly. We focus on the domain of digital libraries and provide an evaluation of our method in Annota, book marking and annotation web-based system.","PeriodicalId":136289,"journal":{"name":"2013 8th International Workshop on Semantic and Social Media Adaptation and Personalization","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122271268","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}