2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)最新文献_第7页

Ranking Methods for Query Relaxation in Book Search 图书搜索中查询松弛的排序方法

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.00-51

Momo Kyozuka, Keishi Tajima

{"title":"Ranking Methods for Query Relaxation in Book Search","authors":"Momo Kyozuka, Keishi Tajima","doi":"10.1109/WI.2018.00-51","DOIUrl":"https://doi.org/10.1109/WI.2018.00-51","url":null,"abstract":"In this paper, we propose a method to support book search tasks where users issue a query describing the story in a book to a database storing brief descriptions of books. Such a query may include extraneous words that do not appear in the brief description of the book in the database. In addition, queries by users who only have vague memories of the stories may even include wrong keywords. In order to find books with such queries, we need a query relaxation scheme. In the scheme we propose in this paper, we classify words in a user query describing a book into four types based on their roles in the description, and for each type, we estimate the probability of their appearance in the description in the database. We estimate it based on statistics we obtained through an analysis of an archive of queries and answers in the past. We then generate relaxed queries by using every subset of the words in the user query, and rank the queries based on the expected ranking of the target book in their results. The expected ranking of the target book in a query result is estimated by using appearance probabilities of words in the query and the number of books matching the query. We conducted an experiment for comparing various ranking schemes by their MRR, and our ranking scheme that uses both the word appearance probabilities and the number of matching books showed a good performance.","PeriodicalId":405966,"journal":{"name":"2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)","volume":"3 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":"122390925","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

Enhancing Crowd Wisdom Using Explainable Diversity Inferred from Social Media 利用社交媒体推断的可解释多样性增强群体智慧

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.00-77

Shreyansh P. Bhatt, Manas Gaur, B. Bullemer, V. Shalin, A. Sheth, B. Minnery

{"title":"Enhancing Crowd Wisdom Using Explainable Diversity Inferred from Social Media","authors":"Shreyansh P. Bhatt, Manas Gaur, B. Bullemer, V. Shalin, A. Sheth, B. Minnery","doi":"10.1109/WI.2018.00-77","DOIUrl":"https://doi.org/10.1109/WI.2018.00-77","url":null,"abstract":"A crowd sampled from a set of individuals can provide a more accurate prediction in aggregate than most individuals.This effect, referred to as wisdom of crowd, exists when crowd members bring diverse perspectives to decision making. Such diversity leads to uncorrelated prediction errors that cancel out in aggregate. As crowd members' judgments are often the result of solution strategies, diversity in solution strategies can enhance crowd wisdom. One of the most challenging tasks in sampling such a crowd is to determine the individual's solution strategy for a prediction problem. As participating individuals often share their perspectives through social media, we can use such data to identify an individual's solution strategy. In this paper, we propose a crowd selection approach using social media posts (tweets) indicating diverse solution strategies. We use tweet classification to identify participants' prediction strategies and categorize participants based on the binomial test to identify sets of participants that apply a similar strategy. We then form a diverse crowd by sampling participants from different sets. Using the domain of Fantasy Sports, we show that such a diverse crowd can outperform crowd selected at random and 90% of individual participants, and participant categorization schemes using word2vec. Further, we use a knowledge graph to investigate the factors forming such a diverse crowd and how these factors can lead to a better decision. Relative to bottom-up (data-driven) processes the approach presented here provides an explanation of diverse crowd behavior.","PeriodicalId":405966,"journal":{"name":"2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)","volume":"45 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":"124730746","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: 5

Classical Formula Ontology Construction and Application in the Diagnosis and Treatment of Dermatosis 经典公式本体构建及其在皮肤病诊治中的应用

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.00-28

Yang Zhou, XingLiang Qi, Jing Zhang, Zhenguo Wang

引用次数: 3

Analysis of User Dwell Time by Category in News Application 新闻应用类别用户停留时间分析

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.000-3

Yoshifumi Seki, Mitsuo Yoshida

引用次数: 5

A Failure of Collective Intelligence 集体智慧的失败

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.00-67

Yan Zhao, E. Santos

引用次数: 2

QuickCent: A Fast and Frugal Heuristic for Centrality Estimation on Networks QuickCent:一种快速、节约的网络中心性估计启发式算法

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.00-84

Francisco Plana, Jorge Pérez

引用次数: 1

Overview of Communication Protocols in Internet of Things: Architecture, Development and Future Trends 物联网通信协议综述:架构、发展与未来趋势

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.00-25

Yonghong Cheng, Huajun Zhang, Yi Huang

引用次数: 5

Uncovering the Perception of Urban Outdoor Areas Expressed in Social Media 揭示社交媒体对城市户外区域的感知

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.00-99

F. Santos, Thiago H. Silva, A. Loureiro, L. Villas

引用次数: 5

Multi-Modal Media Retrieval via Distance Metric Learning for Potential Customer Discovery 基于距离度量学习的潜在客户发现多模态媒体检索

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.00-75

Yang Liu, Zhonglei Gu, Tobey H. Ko, Jiming Liu

{"title":"Multi-Modal Media Retrieval via Distance Metric Learning for Potential Customer Discovery","authors":"Yang Liu, Zhonglei Gu, Tobey H. Ko, Jiming Liu","doi":"10.1109/WI.2018.00-75","DOIUrl":"https://doi.org/10.1109/WI.2018.00-75","url":null,"abstract":"As social media grown to become an integral part of many people's daily life, brands are quick to launch targeted social media marketing campaign to acquire new potential customers online. To facilitate the potential customer discovery process, a costly and labor intensive manual selection process is done to build a brand portfolio consisting of multimedia data relevant to the brand. To automate this process in a cost-effective way, in this paper, we propose a novel Multi-Modal Distance Metric Learning (M2DML) method, which learns a data-dependent similarity metric from multi-modal media data, aiming at assisting the brands to retrieve appropriate media data from social networks for potential customer discovery. To comprehensively model the supervised information of multi-modal data, M2DML aims to learn both the intra-modality and inter-modality distance metrics simultaneously. To further explore the unsupervised information of the dataset, M2DML aims to preserve the manifold structure of the multi-modal data. The proposed method is then formulated as a standard eigen-decomposition problem and the closed form solution is efficiently computed. Experiments on a standard multi-modal media dataset and a self-collected dataset validate the effectiveness of the proposed method.","PeriodicalId":405966,"journal":{"name":"2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)","volume":"22 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":"126620060","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

Online Social Networks in Health Care: A Study of Mental Disorders on Reddit 医疗保健中的在线社交网络:Reddit上精神障碍的研究

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.00-36

Barbara Silveira Fraga, Ana Paula Couto da Silva, Fabricio Murai

{"title":"Online Social Networks in Health Care: A Study of Mental Disorders on Reddit","authors":"Barbara Silveira Fraga, Ana Paula Couto da Silva, Fabricio Murai","doi":"10.1109/WI.2018.00-36","DOIUrl":"https://doi.org/10.1109/WI.2018.00-36","url":null,"abstract":"The alarming increase in the number of people afflicted by mental health disorders has become one of the major public health problems faced by governments worldwide. Traditional face-to-face clinical interventions are costly, and, in many cases, leave out a sizable number of people who are struggling to improve their mental health conditions. Alternative forms of intervention that have a larger reach and allow for continual interaction while reducing costs are being investigated, including those relying on Online Social Networks (OSNs). Initially designed for promoting friendship, OSNs started to connect people willing to share experiences related to mental health disorders. In light of this fact, we investigate four Reddit online communities: Depression, SuicideWatch, Anxiety and Bipolar. We focus on user activities and interactions, and on the discourse pattern analysis of posts and comments made by the community members. We found that (i) interaction patterns are very similar across these subreddits, and interactions are centered around content, rather than users; (ii) most posts that generate the longest discussion trees are requests for help and, more often than not, multiple users offer support; (iii) the four subreddits share a common language and encouragement words are a frequent pattern, for instance. We hope that the insights unveiled by our analyses will help on building successful online interventions to support people in crisis and assist their counselors.","PeriodicalId":405966,"journal":{"name":"2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)","volume":"1 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":"126710222","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: 30