Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization最新文献_第2页

HappyFit: Time-aware Visualization for Daily Physical Activity and Virtual Reality Games HappyFit:时间意识可视化的日常体育活动和虚拟现实游戏

Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization Pub Date : 2017-07-09 DOI: 10.1145/3099023.3099102

Soojeong Yoo, Lichen Xue, J. Kay

引用次数: 3

Aspect-aware Point-of-Interest Recommendation with Geo-Social Influence 具有地缘社会影响的方面意识的兴趣点推荐

Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization Pub Date : 2017-07-09 DOI: 10.1145/3099023.3099066

Q. Guo, Zhu Sun, Jie Zhang, Qi Chen, Y. Theng

{"title":"Aspect-aware Point-of-Interest Recommendation with Geo-Social Influence","authors":"Q. Guo, Zhu Sun, Jie Zhang, Qi Chen, Y. Theng","doi":"10.1145/3099023.3099066","DOIUrl":"https://doi.org/10.1145/3099023.3099066","url":null,"abstract":"The large volume of data available in location-based social networks (LBSNs) enables Point-of-Interest (POI) recommendation services. On another hand, the heterogeneous information (e.g., user check-in records, geographical features of POIs, social network and user reviews) imposes great challenges on effective POI recommendation. In this paper, we focus on leveraging such rich information in an integrated manner to improve POI recommendation performance. We exploit not only the geographical and social information, but also aspects extracted from user reviews to better model users' preferences. More specifically, to fully utilize various types of information, we construct a novel heterogeneous graph, Aspect-aware Geo-Social influence Graph (AGSG), by fusing various relations among the three types of nodes, i.e., users, POIs and aspects. The personalized POI recommendation task is then transformed as a graph node ranking problem in AGSG. We design a graph-based recommendation algorithm based on both personalized PageRank (PPR) and meta paths, to fully exploit the heterogeneous graph structure as well as to capture the semantic relations among the various nodes. Experiments on three real-world datasets show that our proposed approach outperforms the state-of-art methods.","PeriodicalId":219391,"journal":{"name":"Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization","volume":"215 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116310311","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

Generating Labeled Datasets of Twitter Users 生成Twitter用户的标记数据集

Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization Pub Date : 2017-07-09 DOI: 10.1145/3099023.3099048

Yasen Kiprov, Pepa Gencheva, Ivan Koychev

引用次数: 2

Semantic Interpretation of Search Queries for Personalization 个性化搜索查询的语义解释

Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization Pub Date : 2017-07-09 DOI: 10.1145/3099023.3099030

L. Ardissono, M. Lucenteforte, Noemi Mauro, Adriano Savoca, Angioletta Voghera, L. Riccia

引用次数: 8

UMAP 2017 THUM Workshop Chairs' Welcome & Organization UMAP 2017 THUM工作坊主席的欢迎及组织

Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization Pub Date : 2017-07-09 DOI: 10.1145/3099023.3099100

C. Musto, A. Rapp, Veronika Bogina, F. Cena, F. Hopfgartner, J. Kay, D. Konopnicki, T. Kuflik, B. Mobasher, G. Semeraro

{"title":"UMAP 2017 THUM Workshop Chairs' Welcome & Organization","authors":"C. Musto, A. Rapp, Veronika Bogina, F. Cena, F. Hopfgartner, J. Kay, D. Konopnicki, T. Kuflik, B. Mobasher, G. Semeraro","doi":"10.1145/3099023.3099100","DOIUrl":"https://doi.org/10.1145/3099023.3099100","url":null,"abstract":"The importance of user modeling and personalization is taken for granted in several scenarios. According to this widespread paradigm, each user can be modeled through some (explicitly or implicitly gathered) information about her knowledge or about her preferences, in order to adapt the behavior of a generic intelligent system to her specific characteristics. However, the recent spread of social network and self-tracking devices has totally changed the rules for personalization. On one side, the spread of social network platforms radically changed and renewed many consolidated behavioral paradigms. Thanks to the heterogeneous nature of the discussions that take place on social networks, a lot of new data are continuously available and can be gathered and exploited to build richer and more complete user models, to discover latent communities, to infer information about users' emotions and personality traits, and also to study very complex phenomena, such as those related to the psycho-social sphere, in a totally new way. At the same time, self-tracking devices are becoming more and more pervasive, and a plethora of personal data is today available by exploiting such tools. These devices model and track a lot of signals that pure content-based information which is commonly spread on social networks can't actually handle. Reasoning on these data can enable predictions about the user's behavior, health, and goals. As a consequence, it is very important to think about a new generation of user models that are able to effectively merge the information coming from both information sources, while also taking into account the fact that user models evolve over time.","PeriodicalId":219391,"journal":{"name":"Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131242567","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

Distance- and Rank-based Music Mainstreaminess Measurement 基于距离和等级的音乐主流化测量

Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization Pub Date : 2017-07-09 DOI: 10.1145/3099023.3099098

M. Schedl, Christine Bauer

引用次数: 16

A Gamified System for Influencing Healthy E-commerce Shopping Habits 影响健康电子商务购物习惯的游戏化系统

Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization Pub Date : 2017-07-09 DOI: 10.1145/3099023.3099110

I. Adaji, Julita Vassileva

引用次数: 12

Modeling and Developing a Learning Design System based on Graphic Organizers 基于图形组织者的学习设计系统建模与开发

Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization Pub Date : 2017-07-09 DOI: 10.1145/3099023.3099028

M. Corbatto

引用次数: 4

The Influence of Personality on Mobile Web Credibility 个性对移动网络可信度的影响

Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization Pub Date : 2017-07-09 DOI: 10.1145/3099023.3099074

Kiemute Oyibo, Rita Orji, Julita Vassileva

{"title":"The Influence of Personality on Mobile Web Credibility","authors":"Kiemute Oyibo, Rita Orji, Julita Vassileva","doi":"10.1145/3099023.3099074","DOIUrl":"https://doi.org/10.1145/3099023.3099074","url":null,"abstract":"Research has shown that the perceived credibility of a website is critical to its success. However, little is known about how individual differences influence this important factor of web design. In this paper, we investigate how personality traits affect the perceived credibility of a website in the mobile domain. Using a sample of 323 participants, we developed a model showing how the Big Five personality traits influence the perceived credibility of a website through its perceived aesthetics and perceived usability. Our model reveals that Agreeableness is the strongest predictor of aesthetics and/or usability, followed by Conscientiousness. This suggests that the more agreeable and/or the more conscientious users are easily more satisfied aesthetically and usability-wise by a mobile websites than the less agreeable and/or the less conscientious users respectively. Consequently, designers of mobile sites may have to do more in user interface design in order to attract the less agreeable and/or the less conscientious users to their sites based on its hedonic (aesthetics-inspired) and utilitarian (usability-inspired) appeal.","PeriodicalId":219391,"journal":{"name":"Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115247960","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: 11

On the Relations Between Cooking Interests, Hobbies and Nutritional Values of Online Recipes: Implications for Health-Aware Recipe Recommender Systems 网上食谱的烹饪兴趣、爱好与营养价值的关系:对健康意识食谱推荐系统的启示

Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization Pub Date : 2017-07-09 DOI: 10.1145/3099023.3099072

C. Trattner, Markus Rokicki, E. Herder

引用次数: 14