HT ... : the proceedings of the ... ACM Conference on Hypertext and Social Media. ACM Conference on Hypertext and Social Media最新文献

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Tags vs shelves: from social tagging to social classification 标签vs货架:从社会标签到社会分类
A. Zubiaga, Christian Körner, M. Strohmaier
{"title":"Tags vs shelves: from social tagging to social classification","authors":"A. Zubiaga, Christian Körner, M. Strohmaier","doi":"10.1145/1995966.1995981","DOIUrl":"https://doi.org/10.1145/1995966.1995981","url":null,"abstract":"Recent research has shown that different tagging motivation and user behavior can effect the overall usefulness of social tagging systems for certain tasks. In this paper, we provide further evidence for this observation by demonstrating that tagging data obtained from certain types of users - so-called Categorizers - outperforms data from other users on a social classification task. We show that segmenting users based on their tagging behavior has significant impact on the performance of automated classification of tagged data by using (i) tagging data from two different social tagging systems, (ii) a Support Vector Machine as a classification mechanism and (iii) existing classification systems such as the Library of Congress Classification System as ground truth. Our results are relevant for scientists studying pragmatics and semantics of social tagging systems as well as for engineers interested in influencing emerging properties of deployed social tagging systems.","PeriodicalId":91270,"journal":{"name":"HT ... : the proceedings of the ... ACM Conference on Hypertext and Social Media. ACM Conference on Hypertext and Social Media","volume":"38 1","pages":"93-102"},"PeriodicalIF":0.0,"publicationDate":"2011-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90499455","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: 48
An algorithm to generate engaging narratives through non-linearity 一种通过非线性产生引人入胜的叙事的算法
Vinay Chilukuri, B. Indurkhya
{"title":"An algorithm to generate engaging narratives through non-linearity","authors":"Vinay Chilukuri, B. Indurkhya","doi":"10.1145/1995966.1996004","DOIUrl":"https://doi.org/10.1145/1995966.1996004","url":null,"abstract":"The order in which the events of a story are presented plays an important role in story-telling. In this paper, we present an algorithm that generates narratives of different presentation orders for a story by taking its plan representation and the desired amount of non-linearity as input. We use the principles of event-indexing model, a cognitive model of narrative comprehension, to generate narratives without affecting the ease of comprehension. We hypothesize that a narrative deviated from its chronological order and presented without affecting the ease of comprehension might lead to cognitive engagement. Empirical evaluation of the system was conducted to test this hypothesis along with the amount of non-linearity that could be introduced in a story without affecting the ease of comprehension.","PeriodicalId":91270,"journal":{"name":"HT ... : the proceedings of the ... ACM Conference on Hypertext and Social Media. ACM Conference on Hypertext and Social Media","volume":"45 1","pages":"291-298"},"PeriodicalIF":0.0,"publicationDate":"2011-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83380508","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: 3
Personalised rating prediction for new users using latent factor models 使用潜在因素模型对新用户进行个性化评级预测
Yanir Seroussi, F. Bohnert, Ingrid Zukerman
{"title":"Personalised rating prediction for new users using latent factor models","authors":"Yanir Seroussi, F. Bohnert, Ingrid Zukerman","doi":"10.1145/1995966.1995976","DOIUrl":"https://doi.org/10.1145/1995966.1995976","url":null,"abstract":"In recent years, personalised recommendations have gained importance in helping users deal with the abundance of information available online. Personalised recommendations are often based on rating predictions, and thus accurate rating prediction is essential for the generation of useful recommendations. Recently, rating prediction algorithms that are based on matrix factorisation have become increasingly popular, due to their high accuracy and scalability. However, these algorithms still deliver inaccurate rating predictions for new users, who submitted only a few ratings.\u0000 In this paper, we address the new user problem by introducing several extensions to the basic matrix factorisation algorithm, which take user attributes into account when generating rating predictions. We consider both demographic attributes, explicitly supplied by users, and attributes inferred from user-generated texts. Our results show that employing our text-based user attributes yields personalised rating predictions that are more accurate than our baselines, while not requiring users to explicitly supply any information about themselves and their preferences.","PeriodicalId":91270,"journal":{"name":"HT ... : the proceedings of the ... ACM Conference on Hypertext and Social Media. ACM Conference on Hypertext and Social Media","volume":"86 1","pages":"47-56"},"PeriodicalIF":0.0,"publicationDate":"2011-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83929700","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: 93
A generic approach for on-the-fly adding of context-aware features to existing websites 一种为现有网站添加上下文感知功能的通用方法
W. V. Woensel, Sven Casteleyn, Olga De Troyer
{"title":"A generic approach for on-the-fly adding of context-aware features to existing websites","authors":"W. V. Woensel, Sven Casteleyn, Olga De Troyer","doi":"10.1145/1995966.1995987","DOIUrl":"https://doi.org/10.1145/1995966.1995987","url":null,"abstract":"More and more, mobile devices act as personal information managers and are able to obtain rich contextual information on the user's environment. Mobile, context-aware web applications can exploit this information to better address the needs of mobile users. Currently, such websites are either developed separately from their associated desktop-oriented version, or both versions are created simultaneously by employing methodologies that support multi-platform context-aware websites, requiring an extensive engineering effort. While these approaches provide a solution for developing new websites, they go past the plethora of existing websites. To address this issue, we present an approach for enhancing existing websites on-the-fly with context-aware features. We first discuss the requirements for such an adaptation process, and identify applicable adaptation methods to realize context-aware features. Next, we explain our generic approach, which is grounded in the use of semantic information extracted from existing websites. Finally, we present a concrete application of our approach that is based on the SCOUT framework for mobile and context-aware application development.","PeriodicalId":91270,"journal":{"name":"HT ... : the proceedings of the ... ACM Conference on Hypertext and Social Media. ACM Conference on Hypertext and Social Media","volume":"24 1","pages":"143-152"},"PeriodicalIF":0.0,"publicationDate":"2011-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89606480","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: 10
Semantic similarity in heterogeneous ontologies 异构本体中的语义相似性
Elisa Chiabrando, S. Likavec, Ilaria Lombardi, Claudia Picardi, D. T. Dupré
{"title":"Semantic similarity in heterogeneous ontologies","authors":"Elisa Chiabrando, S. Likavec, Ilaria Lombardi, Claudia Picardi, D. T. Dupré","doi":"10.1145/1995966.1995989","DOIUrl":"https://doi.org/10.1145/1995966.1995989","url":null,"abstract":"Recent extensive usage of ontologies as knowledge bases that enable rigorous representation and reasoning over heterogenous data poses certain challenges in their construction and maintenance. Many of these ontologies are incomplete, containing many dense sub-ontologies. A need arises for a measure that would help calculate the similarity between the concepts in these kinds of ontologies. In this work, we introduce a new similarity measure for ontological concepts that takes these issues into account. It is based on conceptual specificity, which measures how much a certain concept is relevant in a given context, and on conceptual distance, which introduces different edge lengths in the ontology graph. We also address the problem of computing similarity between concepts in the presence of implicit classes in ontologies. The evaluation of our approach shows an improvement over Leacock and Chodorow's distance based measure. Finally, we provide two application domains which can benefit when this similarity measure is used.","PeriodicalId":91270,"journal":{"name":"HT ... : the proceedings of the ... ACM Conference on Hypertext and Social Media. ACM Conference on Hypertext and Social Media","volume":"64 1","pages":"153-160"},"PeriodicalIF":0.0,"publicationDate":"2011-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74944394","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: 16
From disasters to WOW: using web science to understand and enable 21st century multidimensional networks 从灾难到WOW:使用网络科学来理解和实现21世纪的多维网络
N. Contractor
{"title":"From disasters to WOW: using web science to understand and enable 21st century multidimensional networks","authors":"N. Contractor","doi":"10.1145/1995966.1995968","DOIUrl":"https://doi.org/10.1145/1995966.1995968","url":null,"abstract":"Recent advances in Web Science provide comprehensive digital traces of social actions, interactions, and transactions. These data provide an unprecedented exploratorium to model the socio-technical motivations for creating, maintaining, dissolving, and reconstituting multidimensional social networks. Multidimensional networks include multiple types of nodes (people, documents, datasets, tags, etc.) and multiple types of relationships (co-authorship, citation, web links, etc). Using examples from research in a wide range of activities such as disaster response, science and engineering communities, public health and massively multiplayer online games (WoW - the World of Warcraft), Contractor will argue that Web Science serves as the foundation for the development of social network theories and methods to help advance our ability to understand and enable multidimensional networks.","PeriodicalId":91270,"journal":{"name":"HT ... : the proceedings of the ... ACM Conference on Hypertext and Social Media. ACM Conference on Hypertext and Social Media","volume":"44 1","pages":"1-2"},"PeriodicalIF":0.0,"publicationDate":"2011-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74090233","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
Implicit association via crowd-sourced coselection 通过众包共同选择的隐性关联
H. Ashman, M. Antunovic, Satit Chaprasit, Gavin Smith, M. Truran
{"title":"Implicit association via crowd-sourced coselection","authors":"H. Ashman, M. Antunovic, Satit Chaprasit, Gavin Smith, M. Truran","doi":"10.1145/1995966.1995972","DOIUrl":"https://doi.org/10.1145/1995966.1995972","url":null,"abstract":"The interaction of vast numbers of search engine users with sets of search results sets is a potential source of significant quantities of resource classification data. In this paper we discuss work which uses coselection data (i.e. multiple click-through events generated by the same user on a single search engine result page) as an indicator of mutual relevance between web resources and a means for the automatic clustering of sense-singular resources. The results indicate that coselection can be used in this way. We ground-truthed unambiguous query clustering, forming a foundation for work on automatic ambiguity detection based on the resulting number of generated clusters. Using the cluster overlap by population principle, the extension of previous work allowed determination of synonyms or lingual translations where overlapping clusters indicated the mutual relevance in coselection and subsequently the irrelevance of the actual label inherited from the user query.","PeriodicalId":91270,"journal":{"name":"HT ... : the proceedings of the ... ACM Conference on Hypertext and Social Media. ACM Conference on Hypertext and Social Media","volume":"55 1","pages":"7-16"},"PeriodicalIF":0.0,"publicationDate":"2011-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89061608","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: 4
An experience using a spatial hypertext Wiki 使用空间超文本Wiki的体验
C. Solís, Nour Ali
{"title":"An experience using a spatial hypertext Wiki","authors":"C. Solís, Nour Ali","doi":"10.1145/1995966.1995986","DOIUrl":"https://doi.org/10.1145/1995966.1995986","url":null,"abstract":"Most wikis do not allow users to collaboratively organize relations among wiki pages, nor ways to visualize them because such relations are hard to express using hyperlinks. The Spatial Hypertext Wiki (ShyWiki) is a wiki that uses Spatial Hypertext to represent visual and spatial implicit relations. This paper reports an experience about the use of ShyWiki features and its spatial hypertext model. Four groups, consisting of 3 members each, were asked to use ShyWiki for creating, sharing and brainstorming knowledge during the design and documentation of a software architecture. We present the evaluation of a questionnaire that users answered about their perceived usefulness and easiness of use of the spatial and visual properties of ShyWiki, and several of its features. We have also asked the users if they would find the visual and spatial properties useful in a wiki such as Wikipedia. In addition, we have analyzed the visual and spatial structures used in the wiki pages, and which features have been used.","PeriodicalId":91270,"journal":{"name":"HT ... : the proceedings of the ... ACM Conference on Hypertext and Social Media. ACM Conference on Hypertext and Social Media","volume":"1 1","pages":"133-142"},"PeriodicalIF":0.0,"publicationDate":"2011-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75732043","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: 7
Personalisation in the wild: providing personalisation across semantic, social and open-web resources 野外的个性化:提供跨语义、社交和开放网络资源的个性化
B. Steichen, A. O'Connor, V. Wade
{"title":"Personalisation in the wild: providing personalisation across semantic, social and open-web resources","authors":"B. Steichen, A. O'Connor, V. Wade","doi":"10.1145/1995966.1995979","DOIUrl":"https://doi.org/10.1145/1995966.1995979","url":null,"abstract":"One of the key motivating factors for information providers to use personalization is to maximise the benefit to the user in accessing their content. However, traditionally such systems have focussed on mainly corporate or professionally authored content and have not been able to leverage the benefits of other material already on the web, written about that subject by other authors. Such information includes open-web information as well as user-generated content such as forums, blogs, tags, etc. By providing personalized compositions and presentations across these heterogeneous information sources, a potentially richer user experience can be created, leveraging the mutual benefits of professionally authored content as well as open-web information and active user communities. This paper presents novel techniques and architectures that extend the personalization reserved for corporate or professionally developed content with that of user generated content and pages in the wild. Complementary affordances of Personalized Information Retrieval and Adaptive Hypermedia are leveraged in order to provide Adaptive Retrieval and Composition of Heterogeneous INformation sources for personalized hypertext Generation (ARCHING). The approach enables adaptive selection and navigation according to multiple adaptation dimensions and across a variety of heterogeneous data sources. The architectures have been applied in a real-life personalized customer care scenario and a user study evaluation involving authentic information needs has been conducted. The evidence clearly shows that the system successfully blends a user's search experience with adaptive selection and navigation techniques and that the user experience is improved in terms of both task assistance and user satisfaction.","PeriodicalId":91270,"journal":{"name":"HT ... : the proceedings of the ... ACM Conference on Hypertext and Social Media. ACM Conference on Hypertext and Social Media","volume":"14 1","pages":"73-82"},"PeriodicalIF":0.0,"publicationDate":"2011-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89903069","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: 26
Entity set expansion in opinion documents 意见文件中的实体集扩展
Lei Zhang, B. Liu
{"title":"Entity set expansion in opinion documents","authors":"Lei Zhang, B. Liu","doi":"10.1145/1995966.1996002","DOIUrl":"https://doi.org/10.1145/1995966.1996002","url":null,"abstract":"Opinion mining has been an active research area in recent years. The task is to extract opinions expressed on entities and their attributes. For example, the sentence, \"I love the picture quality of Sony cameras,\" expresses a positive opinion on the picture quality attribute of Sony cameras. Sony is the entity. This paper focuses on mining entities (e.g., Sony). This is an important problem because without knowing the entity, the extracted opinion is of little use. The problem is similar to the classic named entity recognition problem. However, there is a major difference. In a typical opinion mining application, the user wants to find opinions on some competing entities, e.g., competing or relevant products. However, he/she often can only provide a few names as there are too many of them. The system has to find the rest from a corpus. This implies that the discovered entities must be of the same type/class. This is the set expansion problem. Classic methods for solving the problem are based on distributional similarity. However, we found this method is inaccurate. We then employ a learning-based method called Bayesian Sets. However, directly applying Bayesian Sets produces poor results. We then propose a more sophisticated way to use Bayesian Sets. This method, however, causes two major problems: entity ranking and feature sparseness. For entity ranking, we propose a re-ranking method to solve the problem. For feature sparseness, we propose two methods to re-weight features and to determine the quality of features. These methods help improve the mining results substantially. Additionally, like any learning algorithm, Bayesian Sets requires the user to engineer a set of features. We design some generic features based on part-of-speech tags of words for learning, which thus does not need to engineer features for each specific domain. Experimental results using 10 real-life datasets from diverse domains demonstrated the effectiveness of the proposed technique.","PeriodicalId":91270,"journal":{"name":"HT ... : the proceedings of the ... ACM Conference on Hypertext and Social Media. ACM Conference on Hypertext and Social Media","volume":"122 1","pages":"281-290"},"PeriodicalIF":0.0,"publicationDate":"2011-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77745442","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: 32
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