Proceedings of the 22nd ACM international conference on Information & Knowledge Management最新文献_第9页

Seeking provenance of information using social media 利用社交媒体寻找信息的来源

Proceedings of the 22nd ACM international conference on Information & Knowledge Management Pub Date : 2013-10-27 DOI: 10.1145/2505515.2505633

Pritam Gundecha, Zhuo Feng, Huan Liu

{"title":"Seeking provenance of information using social media","authors":"Pritam Gundecha, Zhuo Feng, Huan Liu","doi":"10.1145/2505515.2505633","DOIUrl":"https://doi.org/10.1145/2505515.2505633","url":null,"abstract":"Social media propagates breaking news and disinformation alike fast and on an unsurpassed scale. Because of its democratizing nature, social media users can easily produce, receive, and propagate a piece of information without necessarily providing traceable information. Thus, there are no means for a user to verify the provenance (aka sources or originators) of information. The disinformation can cause tragic consequences to society and individuals. This work aims to take advantage of characteristics of social media to provide a solution to the problem of lacking traceable information. Such knowledge can provide additional context to received information such that a user can assess how much value, trust, and validity should be placed in it. In this paper, we are studying a novel research problem that facilitates the seeking of the provenance of information for a few known recipients (less than 1% of the total recipients) by recovering the paths it has taken from its originators. The proposed methodology exploits easily computable node centralities of a large social media network. The experimental results with Facebook and Twitter datasets show that the proposed mechanism is effective in correctly identifying the additional recipients and seeking the provenance of information.","PeriodicalId":20528,"journal":{"name":"Proceedings of the 22nd ACM international conference on Information & Knowledge Management","volume":"116 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2013-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74679947","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: 23

PIKM 2013: the 6th ACM workshop for ph.d. students in information and knowledge management PIKM 2013:第六届ACM信息与知识管理博士生研讨会

Proceedings of the 22nd ACM international conference on Information & Knowledge Management Pub Date : 2013-10-27 DOI: 10.1145/2505515.2505817

Fabian M. Suchanek, A. Nica

引用次数: 1

Modeling temporal effects of human mobile behavior on location-based social networks 基于位置的社交网络中人类移动行为的时间效应建模

Proceedings of the 22nd ACM international conference on Information & Knowledge Management Pub Date : 2013-10-27 DOI: 10.1145/2505515.2505616

Huiji Gao, Jiliang Tang, Xia Hu, Huan Liu

{"title":"Modeling temporal effects of human mobile behavior on location-based social networks","authors":"Huiji Gao, Jiliang Tang, Xia Hu, Huan Liu","doi":"10.1145/2505515.2505616","DOIUrl":"https://doi.org/10.1145/2505515.2505616","url":null,"abstract":"The rapid growth of location-based social networks (LBSNs) invigorates an increasing number of LBSN users, providing an unprecedented opportunity to study human mobile behavior from spatial, temporal, and social aspects. Among these aspects, temporal effects offer an essential contextual cue for inferring a user's movement. Strong temporal cyclic patterns have been observed in user movement in LBSNs with their correlated spatial and social effects (i.e., temporal correlations). It is a propitious time to model these temporal effects (patterns and correlations) on a user's mobile behavior. In this paper, we present the first comprehensive study of temporal effects on LBSNs. We propose a general framework to exploit and model temporal cyclic patterns and their relationships with spatial and social data. The experimental results on two real-world LBSN datasets validate the power of temporal effects in capturing user mobile behavior, and demonstrate the ability of our framework to select the most effective location prediction algorithm under various combinations of prediction models.","PeriodicalId":20528,"journal":{"name":"Proceedings of the 22nd ACM international conference on Information & Knowledge Management","volume":"39 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2013-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76951472","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: 100

Merged aggregate nearest neighbor query processing in road networks 道路网络中合并聚合最近邻查询处理

Proceedings of the 22nd ACM international conference on Information & Knowledge Management Pub Date : 2013-10-27 DOI: 10.1145/2505515.2505738

Weiwei Sun, Chong Chen, Baihua Zheng, Chunan Chen, Liang Zhu, Weimo Liu, Y. Huang

引用次数: 19

Graph-of-word and TW-IDF: new approach to ad hoc IR 词图和TW-IDF:特殊IR的新方法

Proceedings of the 22nd ACM international conference on Information & Knowledge Management Pub Date : 2013-10-27 DOI: 10.1145/2505515.2505671

F. Rousseau, M. Vazirgiannis

引用次数: 147

Joint learning on sentiment and emotion classification 情感与情感分类的联合学习

Proceedings of the 22nd ACM international conference on Information & Knowledge Management Pub Date : 2013-10-27 DOI: 10.1145/2505515.2507830

Wei Gao, Shoushan Li, Sophia Yat-Mei Lee, Guodong Zhou, Chu-Ren Huang

引用次数: 37

Zero-shot video retrieval using content and concepts 零镜头视频检索使用的内容和概念

Proceedings of the 22nd ACM international conference on Information & Knowledge Management Pub Date : 2013-10-27 DOI: 10.1145/2505515.2507880

Jeffrey Dalton, James Allan, P. Mirajkar

{"title":"Zero-shot video retrieval using content and concepts","authors":"Jeffrey Dalton, James Allan, P. Mirajkar","doi":"10.1145/2505515.2507880","DOIUrl":"https://doi.org/10.1145/2505515.2507880","url":null,"abstract":"Recent research in video retrieval has been successful at finding videos when the query consists of tens or hundreds of sample relevant videos for training supervised models. Instead, we investigate unsupervised zero-shot retrieval where no training videos are provided: a query consists only of a text statement. For retrieval, we use text extracted from images in the videos, text recognized in the speech of its audio track, as well as automatically detected semantically meaningful visual video concepts identified with widely varying confidence in the videos. In this work we introduce a new method for automatically identifying relevant concepts given a text query using the Markov Random Field (MRF) retrieval framework. We use source expansion to build rich textual representations of semantic video concepts from large external sources such as the web. We find that concept-based retrieval significantly outperforms text based approaches in recall. Using an evaluation derived from the TRECVID MED'11 track, we present early results that an approach using multi-modal fusion can compensate for inadequacies in each modality, resulting in substantial effectiveness gains. With relevance feedback, our approach provides additional improvements of over 50%.","PeriodicalId":20528,"journal":{"name":"Proceedings of the 22nd ACM international conference on Information & Knowledge Management","volume":"32 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2013-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78870620","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: 76

Beyond data: from user information to business value through personalized recommendations and consumer science 超越数据:通过个性化推荐和消费者科学，从用户信息到商业价值

Proceedings of the 22nd ACM international conference on Information & Knowledge Management Pub Date : 2013-10-27 DOI: 10.1145/2505515.2514701

X. Amatriain

引用次数: 33

Improving pseudo-relevance feedback via tweet selection 通过tweet选择改善伪相关性反馈

Proceedings of the 22nd ACM international conference on Information & Knowledge Management Pub Date : 2013-10-27 DOI: 10.1145/2505515.2505701

Taiki Miyanishi, Kazuhiro Seki, K. Uehara

{"title":"Improving pseudo-relevance feedback via tweet selection","authors":"Taiki Miyanishi, Kazuhiro Seki, K. Uehara","doi":"10.1145/2505515.2505701","DOIUrl":"https://doi.org/10.1145/2505515.2505701","url":null,"abstract":"Query expansion methods using pseudo-relevance feedback have been shown effective for microblog search because they can solve vocabulary mismatch problems often seen in searching short documents such as Twitter messages (tweets), which are limited to 140 characters. Pseudo-relevance feedback assumes that the top ranked documents in the initial search results are relevant and that they contain topic-related words appropriate for relevance feedback. However, those assumptions do not always hold in reality because the initial search results often contain many irrelevant documents. In such a case, only a few of the suggested expansion words may be useful with many others being useless or even harmful. To overcome the limitation of pseudo-relevance feedback for microblog search, we propose a novel query expansion method based on two-stage relevance feedback that models search interests by manual tweet selection and integration of lexical and temporal evidence into its relevance model. Our experiments using a corpus of microblog data (the Tweets2011 corpus) demonstrate that the proposed two-stage relevance feedback approaches considerably improve search result relevance over almost all topics.","PeriodicalId":20528,"journal":{"name":"Proceedings of the 22nd ACM international conference on Information & Knowledge Management","volume":"98 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2013-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80545887","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: 57

Augmenting web search surrogates with images 用图像增强网络搜索代理

Proceedings of the 22nd ACM international conference on Information & Knowledge Management Pub Date : 2013-10-27 DOI: 10.1145/2505515.2505714

Robert G. Capra, Jaime Arguello, Falk Scholer

{"title":"Augmenting web search surrogates with images","authors":"Robert G. Capra, Jaime Arguello, Falk Scholer","doi":"10.1145/2505515.2505714","DOIUrl":"https://doi.org/10.1145/2505515.2505714","url":null,"abstract":"While images are commonly used in search result presentation for vertical domains such as shopping and news, web search results surrogates remain primarily text-based. In this paper, we present results of two large-scale user studies to examine the effects of augmenting text-based surrogates with images extracted from the underlying webpage. We evaluate effectiveness and efficiency at both the individual surrogate level and at the results page level. Additionally, we investigate the influence of two factors: the goodness of the image in terms of representing the underlying page content, and the diversity of the results on a results page. Our results show that at the individual surrogate level, good images provide only a small benefit in judgment accuracy versus text-only surrogates, with a slight increase in judgment time. At the results page level, surrogates with good images had similar effectiveness and efficiency compared to the text-only condition. However, in situations where the results page items had diverse senses, surrogates with images had higher click precision versus text-only ones. Results of these studies show tradeoffs in the use of images in web search surrogates, and highlight particular situations where they can provide benefits.","PeriodicalId":20528,"journal":{"name":"Proceedings of the 22nd ACM international conference on Information & Knowledge Management","volume":"54 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2013-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81673012","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: 18