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Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization最新文献

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Effective Recommendation with Category Hierarchy 基于类别层次的有效推荐
Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization Pub Date : 2016-07-13 DOI: 10.1145/2930238.2930269
Zhu Sun, G. Guo, Jie Zhang
{"title":"Effective Recommendation with Category Hierarchy","authors":"Zhu Sun, G. Guo, Jie Zhang","doi":"10.1145/2930238.2930269","DOIUrl":"https://doi.org/10.1145/2930238.2930269","url":null,"abstract":"Although flat item category structure where categories are independent in a same level has been well studied to enhance recommendation performance, in many real applications, item category is often organized in hierarchies to reflect the inherent correlations among categories. In this paper, we propose a novel matrix factorization model by exploiting category hierarchy from the perspectives of users and items for effective recommendation. Specifically, a user (an item) can be influenced (characterized) by her preferred categories (the categories it belongs to) in the hierarchy. We incorporate how different categories in the hierarchy co-influence a user and an item. Empirical results show the superiority of our approach against other counterparts.","PeriodicalId":339100,"journal":{"name":"Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128984563","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
Analyzing MOOC Entries of Professionals on LinkedIn for User Modeling and Personalized MOOC Recommendations 分析专业人士在LinkedIn上的MOOC条目，为用户建模和个性化的MOOC建议
Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization Pub Date : 2016-07-13 DOI: 10.1145/2930238.2930264
Guangyuan Piao, J. Breslin
{"title":"Analyzing MOOC Entries of Professionals on LinkedIn for User Modeling and Personalized MOOC Recommendations","authors":"Guangyuan Piao, J. Breslin","doi":"10.1145/2930238.2930264","DOIUrl":"https://doi.org/10.1145/2930238.2930264","url":null,"abstract":"The main contribution of this work is the comparison of three user modeling strategies based on job titles, educational fields and skills in LinkedIn profiles, for personalized MOOC recommendations in a cold start situation. Results show that the skill-based user modeling strategy performs best, followed by the job- and edu-based strategies.","PeriodicalId":339100,"journal":{"name":"Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126820864","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: 17
The Past, the Present, and the Future 过去，现在和未来
Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization Pub Date : 2016-07-13 DOI: 10.1145/2930238.2930807
S. Carberry
{"title":"The Past, the Present, and the Future","authors":"S. Carberry","doi":"10.1145/2930238.2930807","DOIUrl":"https://doi.org/10.1145/2930238.2930807","url":null,"abstract":"User modeling and adaptation had its inception as a field at a workshop in Maria Laach, Germany in 1986. Most of the work at that time focused on applications in natural language processing, such as adapting explanations to the user's level of expertise. Since then, the field has grown tremendously and new applications are arising each year. As appropriate for the 30th anniversary of the first workshop, this talk will discuss how the field has evolved, novel work that we are pursuing on applying user modeling and adaptation to information retrieval, insights into where the field is headed and the hottest topics for exploration, and some thoughts on the conflict between the benefits of user modeling and its intrusion on people's lives.","PeriodicalId":339100,"journal":{"name":"Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126833838","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: 213
Personalizing Reminders to Personality for Melanoma Self-checking 黑色素瘤自我检查的个性个性化提醒
Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization Pub Date : 2016-07-13 DOI: 10.1145/2930238.2930254
K. Smith, Matt Dennis, J. Masthoff
{"title":"Personalizing Reminders to Personality for Melanoma Self-checking","authors":"K. Smith, Matt Dennis, J. Masthoff","doi":"10.1145/2930238.2930254","DOIUrl":"https://doi.org/10.1145/2930238.2930254","url":null,"abstract":"This paper investigates whether different types of persuasive reminder should be sent to patients with different personalities. We describe a study where we presented participants with a personality measure, then describe a scenario with a fictional patient, who has not performed a skin check for recurrent melanoma. We asked patients to imagine they are in that situation and rate validated reminders based on Cialdini's 6 principles of persuasion for their suitability. Participants then chose their favourite reminder, and an alternative reminder to send if that one failed. We found that persuasive reminders that use `Authority' and 'Liking' are the most popular overall. We also found that personality had an effect when deciding on the type of persuasive reminder to use. In particular, we have found that those with high emotional stability are more responsive to any kind of persuasion, those with low agreeableness rated all types of reminder higher than those with high, and that conscientiousness matters when selecting an alternative reminder.","PeriodicalId":339100,"journal":{"name":"Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116845525","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
Modeling Community Behavior through Semantic Analysis of Social Data: The Italian Hate Map Experience 通过社会数据的语义分析建模社区行为:意大利仇恨地图经验
Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization Pub Date : 2016-07-13 DOI: 10.1145/2930238.2930274
C. Musto, G. Semeraro, M. Degemmis, P. Lops
{"title":"Modeling Community Behavior through Semantic Analysis of Social Data: The Italian Hate Map Experience","authors":"C. Musto, G. Semeraro, M. Degemmis, P. Lops","doi":"10.1145/2930238.2930274","DOIUrl":"https://doi.org/10.1145/2930238.2930274","url":null,"abstract":"This paper presents the results of The Italian Hate Map, a research project aiming to monitor the level of intolerance of the Italian country by mining the content posted on social networks. Within the project, a pipeline of algorithms for data extraction, semantic processing, sentiment analysis and content classification has been defined to process huge amounts of Tweets and to build a map of the most at-risk areas, thus identifying the Italian communities tending to have a more intolerant behavior. The outcomes resulting from the analysis of the maps confirmed the insight that the adoption of semantic content analysis techniques can be very useful to create value from the rough content available on the Web, and to go one step further in understanding very complex phenomena by modeling offline behavior of the communities on the ground of their online behavior on social networks.","PeriodicalId":339100,"journal":{"name":"Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121677084","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
User-User Relationship Migration Observed in Communication Activity 交流活动中观察到的用户-用户关系迁移
Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization Pub Date : 2016-07-13 DOI: 10.1145/2930238.2930268
Shuhei Yamamoto, N. Kando, T. Satoh
{"title":"User-User Relationship Migration Observed in Communication Activity","authors":"Shuhei Yamamoto, N. Kando, T. Satoh","doi":"10.1145/2930238.2930268","DOIUrl":"https://doi.org/10.1145/2930238.2930268","url":null,"abstract":"Many Twitter users build various relationships through communication activity such as replies and retweets. For example, friends engage in conversations through replies. Fans unilaterally send many replies to celebrities. In this paper, we focus on such relationships between users. We assume that such relationships are classified into several patterns based on the feature values of communication reciprocity, and the relationships migrate to other ones as time progresses. We clarify the major relationships and transitions by analyzing the pattern frequency and transitions with high probability. From analysis results using a large amount of user pairs that we obtained over a long period, we detected several major and calm relationships.","PeriodicalId":339100,"journal":{"name":"Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121787908","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: 0
Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization 2016年用户建模适应与个性化会议论文集
Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization Pub Date : 1900-01-01 DOI: 10.1145/2930238
Julita Vassileva, J. Blustein, Lora Aroyo, Sidney K. D'Mello
{"title":"Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization","authors":"Julita Vassileva, J. Blustein, Lora Aroyo, Sidney K. D'Mello","doi":"10.1145/2930238","DOIUrl":"https://doi.org/10.1145/2930238","url":null,"abstract":"","PeriodicalId":339100,"journal":{"name":"Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132879468","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
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