2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)最新文献_第6页

NutRec: Nutrition Oriented Online Recipe Recommender NutRec:营养导向的在线食谱推荐

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.0-111

Elizabeth Gorbonos, Yang Liu, C. Hoàng

引用次数: 13

Detecting Network Intrusion beyond 1999: Applying Machine Learning Techniques to a Partially Labeled Cybersecurity Dataset 1999年以后的网络入侵检测:将机器学习技术应用于部分标记的网络安全数据集

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.00017

Jan Klein, S. Bhulai, M. Hoogendoorn, R. Mei, Raymond Hinfelaar

引用次数: 2

AUX and UX Evaluation of User Tools in Social Networks 社交网络中用户工具的AUX和UX评估

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.0-101

Luis Martín Sánchez-Adame, S. Mendoza, B. González-Beltrán, José Rodríguez, A. Viveros

{"title":"AUX and UX Evaluation of User Tools in Social Networks","authors":"Luis Martín Sánchez-Adame, S. Mendoza, B. González-Beltrán, José Rodríguez, A. Viveros","doi":"10.1109/WI.2018.0-101","DOIUrl":"https://doi.org/10.1109/WI.2018.0-101","url":null,"abstract":"Online social networks provide technological support for making up virtual groups of any size, whose members share common interests and interact through the Internet. A person joins a social network not only owing to its popularity and the quality of its contents, but also thanks to the User Experience (UX) that the platform offers. A crucial factor in the growth and survival of any virtual social group is participation, which should be facilitated by suitable user tools supplied by the platform. However, this is not always the case. Anticipated User eXperience (AUX) allows knowing the idealisations, hopes, and desires of the users in a very early stage of any development. In this paper, we propose an AUX and UX evaluation method for user tools of social networks, whose goal is to improve their design, and through it, the participation of people. We tested our method by an experimental design that included the construction of paper prototypes and execution of tasks in actual platforms. The AUX and UX of the participants were measured with AttrakDiff. As shown by our results, based on their previous experience, participants have fixed ideas on the behaviour of user tools, having a visible impact when their expectations are not met.","PeriodicalId":405966,"journal":{"name":"2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130008546","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

Pricing Strategies with Promotion Time Limitation in Online Social Networks 在线社交网络中具有促销时间限制的定价策略

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.00-82

Yan Li, V. Li

{"title":"Pricing Strategies with Promotion Time Limitation in Online Social Networks","authors":"Yan Li, V. Li","doi":"10.1109/WI.2018.00-82","DOIUrl":"https://doi.org/10.1109/WI.2018.00-82","url":null,"abstract":"Online social networks provide a platform for customers to share their experience and make viral marketing possible. Through online social networks, sellers can apply marketing strategies to reach more potential buyers and thus gain more revenue. Previous studies on social network marketing based on the influence maximization problem focus on how to propagate information widely and neglect that price is a key factor that influences information diffusion. In this paper, we study the problem of how to design pricing strategies in order to maximize the revenue when the product usage or promotion time is limited. Different from the existing study of optimal pricing scheme over online social networks, we consider how the price may influence the diffusion. In addition, with limited promotion time, the prices assigned in the different promotion stages of the pricing sequence can be increasing. To better understand the problem, we propose a framework which incorporates the influence maximization problem and a multi-state diffusion model. In the diffusion model, users are divided into different groups by their purchasing behavior and have different influence power, which informs how pricing strategies can influence the potential buyers. We design several pricing strategies under our framework with different pricing sequence order and different promotion time. Simulations are performed to illustrate the concepts in our framework and compare different pricing strategies. With our framework, we can provide some guidelines for the seller when designing the pricing strategy.","PeriodicalId":405966,"journal":{"name":"2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)","volume":"261 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121349417","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

[Title page iii] [标题页iii]

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/wi.2018.00002

引用次数: 0

Conditional Relationship Extraction for Diseases and Symptoms by a Web Search-Based Approach 基于Web搜索的疾病和症状条件关系提取方法

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.00-38

Yi-Hui Lee, Jia-Ling Koh

{"title":"Conditional Relationship Extraction for Diseases and Symptoms by a Web Search-Based Approach","authors":"Yi-Hui Lee, Jia-Ling Koh","doi":"10.1109/WI.2018.00-38","DOIUrl":"https://doi.org/10.1109/WI.2018.00-38","url":null,"abstract":"This paper studies the strategies of automatically extracting the conditional relationships between diseases and symptoms from a Chinese encyclopedia site and the disease-related web pages searched from the Internet. At first, the seed symptoms of a disease are extracted from an online medical encyclopedia automatically. These seed symptoms are utilized as query keywords to automatically find more symptoms of a disease from the unstructured documents of the disease-related search results. Next, a jointly learning method is used to construct the embedded representations of the conditional terms and pattern terms. Besides, the semantic similarity matrix of conditional terms is computed through the co-clustering algorithm to discover the representative conditional terms of the clusters. The result of experiments shows that the proposed method, which discovers the semantically related symptoms of a disease associated with conditionals, achieves high accuracy. Besides, many unusually known symptoms considered by the medical experts are discovered, which may be noticeable symptoms needing further verification in the future.","PeriodicalId":405966,"journal":{"name":"2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124240980","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: 2

Research on Mathematical Formula Knowledge Base for Formula Recognition 面向公式识别的数学公式知识库研究

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.00-27

Zhijun Guo, Yao Liu

引用次数: 2

Leveraging Knowledge Graph for Open-Domain Question Answering 利用知识图谱进行开放领域问答

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.00-63

J. Costa, Anagha Kulkarni

引用次数: 4

DRIM: MDL-Based Approach for Fast Diverse Summarization 基于mdl的快速多样性汇总方法

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.00-17

N. Vanetik, Marina Litvak

引用次数: 1

Web Page Recommendation from Sparse Big Web Data 基于稀疏大网络数据的网页推荐

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.00-32

C. Leung, Fan Jiang, Joglas Souza

{"title":"Web Page Recommendation from Sparse Big Web Data","authors":"C. Leung, Fan Jiang, Joglas Souza","doi":"10.1109/WI.2018.00-32","DOIUrl":"https://doi.org/10.1109/WI.2018.00-32","url":null,"abstract":"In many real-life web applications, web surfers would like to get recommendation on which collections of web pages that would be interested to them or that they should follow. In order to discover this information and make recommendation, data analytics—and specially, association rule mining or web data mining—is in demand. Since its introduction, association rule mining has drawn attention of many researchers. Consequently, many association rule mining algorithms have been proposed for finding interesting relationships—in the form of association rules—among frequently occurring patterns. For instance, in IEEE/WIC/ACM WI 2016 and 2017, serial and parallel algorithms were proposed to find interesting web pages. However, like most of the existing association rule mining algorithms, these two algorithms also were not designed for mining big data. Moreover, the search space of web pages can sparse in the sense that web pages are connected to a small subset of all web pages in the search space. In this paper, we present a compact bitwise representation for web pages in the search space. Such a representation can then be used with a bitwise serial or parallel association rule mining system for web mining and recommendation. Evaluation results show the effectiveness of our compression and the practicality of our algorithm—which discovers popular pages on the web, which in turn gives the web surfers recommendation of web pages that might be interested to them—in real-life web applications.","PeriodicalId":405966,"journal":{"name":"2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123643267","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: 14