Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization最新文献_第3页

Who is Your Best Friend?: Ranking Social Network Friends According to Trust Relationship 谁是你最好的朋友?:根据信任关系对社交网络中的朋友进行排名

Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization Pub Date : 2018-07-03 DOI: 10.1145/3209219.3209243

Xiaoming Li, Hui Fang, Q. Yang, Jie Zhang

引用次数: 10

Predict Demographic Information Using Word2vec on Spatial Trajectories 在空间轨迹上使用Word2vec预测人口信息

Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization Pub Date : 2018-07-03 DOI: 10.1145/3209219.3209224

Adir Solomon, Ariel Bar, Chen Yanai, Bracha Shapira, L. Rokach

{"title":"Predict Demographic Information Using Word2vec on Spatial Trajectories","authors":"Adir Solomon, Ariel Bar, Chen Yanai, Bracha Shapira, L. Rokach","doi":"10.1145/3209219.3209224","DOIUrl":"https://doi.org/10.1145/3209219.3209224","url":null,"abstract":"Inferring socio-demographic attributes of users is an important and challenging task that could help with personalization, recommendation, advertising, etc. Sensor data collected from mobile devices can be utilized for inferring such attributes. Previous works have focused on combining different types of sensors, such as applications, accelerometer, GPS, battery, and many others, to achieve this task. In this study, we were able to infer attributes, such as gender, age, marital status, and whether the user has children, using solely the GPS sensor. We suggest a novel inference technique, which learns an embedding representation of preprocessed spatial GPS trajectories using an adaption of the Word2vec approach. Based on the embedding representation, we later train multiple classification models to achieve the inference goals. Our empirical results indicate that the suggested embedding approach outperforms a classification approach which does not take into consideration the embedding patterns. Experiments on real datasets collected from Android devices show that the proposed method achieves over 80% accuracy for various demographic prediction tasks.","PeriodicalId":110331,"journal":{"name":"Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127674486","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

Eudaimonic Modeling of Moviegoers 电影观众的仿真建模

Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization Pub Date : 2018-07-03 DOI: 10.1145/3209219.3209249

M. Tkalcic, B. Ferwerda

引用次数: 7

Susceptibility to Persuasive Strategies: A Comparative Analysis of Nigerians vs. Canadians 对说服策略的敏感性:尼日利亚人和加拿大人的比较分析

Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization Pub Date : 2018-07-03 DOI: 10.1145/3209219.3209239

Kiemute Oyibo, I. Adaji, Rita Orji, Babatunde Olabenjo, Julita Vassileva

{"title":"Susceptibility to Persuasive Strategies: A Comparative Analysis of Nigerians vs. Canadians","authors":"Kiemute Oyibo, I. Adaji, Rita Orji, Babatunde Olabenjo, Julita Vassileva","doi":"10.1145/3209219.3209239","DOIUrl":"https://doi.org/10.1145/3209219.3209239","url":null,"abstract":"Personalizing persuasive technologies (PTs) is one of the hallmarks of a successful PT intervention. However, there is a lack of understanding of how Africans and North Americans differ or are similar in the susceptibility to persuasive strategies. To bridge this gap, we conducted a cross-cultural study among 284 subjects to investigate the moderating effect of culture on the susceptibility of users to Cialdini's principles of persuasion. Specifically, using Nigeria and Canada as a case study, we investigated how both groups vary in their levels of susceptibility to Authority, Commitment, Consensus, Liking, Reciprocity and Scarcity. The results of our analysis show that Nigerians are more susceptible to Authority and Scarcity than Canadians, while Canadians are more susceptible to Reciprocity, Liking and Consensus than Nigerians. However, both groups do not differ with respect to Commitment (the most persuasive strategy). Finally, we discussed our findings and mapped the most persuasive Cialdini's principles in each group to implementable persuasive strategies in the PT domain.","PeriodicalId":110331,"journal":{"name":"Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129374470","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: 19

A Cross-Cultural Analysis of Trust in Recommender Systems 推荐系统信任的跨文化分析

Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization Pub Date : 2018-07-03 DOI: 10.1145/3209219.3209251

S. Berkovsky, R. Taib, Y. Hijikata, Pavel Braslavski, Bart P. Knijnenburg

引用次数: 11

Energy Saving Recommendations and User Location Modeling in Commercial Buildings 商业建筑节能建议与用户位置建模

Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization Pub Date : 2018-07-03 DOI: 10.1145/3209219.3209244

Peter Wei, S. Xia, Xiaofan Jiang

{"title":"Energy Saving Recommendations and User Location Modeling in Commercial Buildings","authors":"Peter Wei, S. Xia, Xiaofan Jiang","doi":"10.1145/3209219.3209244","DOIUrl":"https://doi.org/10.1145/3209219.3209244","url":null,"abstract":"Commercial buildings consume a large portion of the total electricity in the United States. One method for energy saving in commercial buildings targets inefficiencies of unoccupied spaces by relaxing the setpoint temperature. However, energy savings are severely limited when occupants are assumed to be \"immovable objects\"; instead, by encouraging occupant participation in the optimization, a much greater amount of energy savings can be achieved. In this work, we build on this idea and introduce energy saving recommendations based on occupant location. We introduce two types of energy saving recommendations based on location: move recommendations, which recommends the occupant to move from one space to another, and shift schedule recommendations, which recommends the occupant to arrive or depart a set amount of time earlier or later. To investigate the effects of the energy saving recommendations, we introduced a tightly coupled system composing of a simulator and a recommender system. Simulations in our building testbed revealed that energy saving recommendations coupled with occupancy-based HVAC energy management saves 25% more energy than occupancy-based HVAC energy management alone.","PeriodicalId":110331,"journal":{"name":"Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125609331","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

Exploring Users' Perception of Rating Summary Statistics 探索用户对评分汇总统计的感知

Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization Pub Date : 2018-07-03 DOI: 10.1145/3209219.3209256

Ludovik Çoba, M. Zanker, L. Rook, P. Symeonidis

引用次数: 5

Co-embeddings for Student Modeling in Virtual Learning Environments 虚拟学习环境中学生建模的共嵌入

Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization Pub Date : 2018-07-03 DOI: 10.1145/3209219.3209227

Milagro Teruel, L. A. Alemany

引用次数: 7

Session details: Keynote Address II 会议详情:主题演讲二

Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization Pub Date : 2018-07-03 DOI: 10.1145/3258609

Tanja Mitrovic

引用次数: 0

Session details: Personalized Recommender Systems I 会议细节:个性化推荐系统

Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization Pub Date : 2018-07-03 DOI: 10.1145/3258604

M. Tkalcic

引用次数: 0