Proceedings of the 2018 Conference on Human Information Interaction & Retrieval最新文献_第5页

Characterizing Search Behavior in Productivity Software 生产力软件中搜索行为的特征

Proceedings of the 2018 Conference on Human Information Interaction & Retrieval Pub Date : 2018-03-01 DOI: 10.1145/3176349.3176395

Horatiu Bota, Adam Fourney, S. Dumais, T. L. Religa, Robert Rounthwaite

{"title":"Characterizing Search Behavior in Productivity Software","authors":"Horatiu Bota, Adam Fourney, S. Dumais, T. L. Religa, Robert Rounthwaite","doi":"10.1145/3176349.3176395","DOIUrl":"https://doi.org/10.1145/3176349.3176395","url":null,"abstract":"Complex software applications expose hundreds of commands to users through intricate menu hierarchies. One of the most popular productivity software suites, Microsoft Office, has recently developed functionality that allows users to issue free-form text queries to a search system to quickly find commands they want to execute, retrieve help documentation or access web results in a unified interface. In this paper, we analyze millions of search sessions originating from within Microsoft Office applications, collected over one month of activity, in an effort to characterize search behavior in productivity software. Our research brings together previous efforts in analyzing command usage in large-scale applications and efforts in understanding search behavior in environments other than the web. Our findings show that users engage primarily in command search, and that re-accessing commands through search is a frequent behavior. Our work represents the first large-scale analysis of search over command spaces and is an important first step in understanding how search systems integrated with productivity software can be successfully developed.","PeriodicalId":198379,"journal":{"name":"Proceedings of the 2018 Conference on Human Information Interaction & Retrieval","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116679704","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: 8

Study of Relevance and Effort across Devices 跨设备的相关性和努力研究

Proceedings of the 2018 Conference on Human Information Interaction & Retrieval Pub Date : 2018-03-01 DOI: 10.1145/3176349.3176888

Manisha Verma, Emine Yilmaz, Nick Craswell

{"title":"Study of Relevance and Effort across Devices","authors":"Manisha Verma, Emine Yilmaz, Nick Craswell","doi":"10.1145/3176349.3176888","DOIUrl":"https://doi.org/10.1145/3176349.3176888","url":null,"abstract":"Relevance judgments are essential for designing information retrieval systems. Traditionally, judgments have been gathered via desktop interfaces. However, with the rise in popularity of smaller devices for information access, it has become imperative to investigate whether desktop based judgments are different from mobile judgments. Recently, user effort and document usefulness have also emerged as important dimensions to optimize and evaluate information retrieval systems. Since existing work is limited to desktops, it remains to be seen how these judgments are affected by user»s search device. In this paper, we address these shortcomings by collecting and analyzing relevance, usefulness and effort judgments on mobiles and desktops. Analysis of these judgments shows high agreement rate between desktop and mobile judges for relevance, followed by usefulness and findability. We also found that desktop judges are likely to spend more time and examine non-relevant/not-useful/difficult documents in greater depth compared to mobile judges. Based on our findings, we suggest that relevance judgments should be gathered via desktops and effort judgments should be collected on each device independently.","PeriodicalId":198379,"journal":{"name":"Proceedings of the 2018 Conference on Human Information Interaction & Retrieval","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117233798","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

Looking for the Movie Seven or Sven from the Movie Frozen?: A Multi-perspective Strategy for Recommending Queries for Children 你在找电影《七侠》还是《冰雪奇缘》里的斯文?:为儿童推荐查询的多角度策略

Proceedings of the 2018 Conference on Human Information Interaction & Retrieval Pub Date : 2018-03-01 DOI: 10.1145/3176349.3176379

Ion Madrazo Azpiazu, Nevena Dragovic, Oghenemaro Anuyah, M. S. Pera

{"title":"Looking for the Movie Seven or Sven from the Movie Frozen?: A Multi-perspective Strategy for Recommending Queries for Children","authors":"Ion Madrazo Azpiazu, Nevena Dragovic, Oghenemaro Anuyah, M. S. Pera","doi":"10.1145/3176349.3176379","DOIUrl":"https://doi.org/10.1145/3176349.3176379","url":null,"abstract":"Popular search engines are usually tuned to satisfy the information needs of a general audience. As a result, non-traditional, yet active groups of users, such as children, experience challenges composing queries that can lead them to the retrieval of adequate results. To aid young users in formulating keyword queries that can facilitate their information-seeking process, we introduce ReQuIK, a multi-perspective query suggestion system for children. ReQuIK informs its suggestion process by applying (i) a strategy based on search intent to capture the purpose of a query, (ii) a ranking strategy based on a wide and deep neural network that considers both raw text and traits commonly associated with kid-related queries, (iii) a filtering strategy based on the readability levels of documents potentially retrieved by a query to favor suggestions that trigger the retrieval of documents matching children»s reading skills, and (iv) a content-similarity strategy to ensure diversity among suggestions. For assessing the quality of the system, we conducted initial offline and online experiments based on 591 queries written by 97 children, ages 6 to 13. The results of this assessment verified the correctness of ReQuIK»s recommendation strategy, the fact that it provides suggestions that appeal to children and ReQuIK»s ability to recommend queries that lead to the retrieval of materials with readability levels that correlate with children»s reading skills.","PeriodicalId":198379,"journal":{"name":"Proceedings of the 2018 Conference on Human Information Interaction & Retrieval","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124505295","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

The Lifetime of Email Messages: A Large-Scale Analysis of Email Revisitation 电子邮件信息的生命周期:电子邮件访问的大规模分析

Proceedings of the 2018 Conference on Human Information Interaction & Retrieval Pub Date : 2018-03-01 DOI: 10.1145/3176349.3176398

Tarfah Alrashed, Ahmed Hassan Awadallah, S. Dumais

{"title":"The Lifetime of Email Messages: A Large-Scale Analysis of Email Revisitation","authors":"Tarfah Alrashed, Ahmed Hassan Awadallah, S. Dumais","doi":"10.1145/3176349.3176398","DOIUrl":"https://doi.org/10.1145/3176349.3176398","url":null,"abstract":"Email continues to be one of the most important means of online communication, leading to a number of challenges related to information overload and email management. To better understand email management practices in detail, we examine the distribution of visits to emails over time. During their lifetime, emails may be visited one or more times, and with each visit different actions may be taken. Emails that are revisited over time are especially interesting because they represent an opportunity to improve email management and search. In this paper, we present a large-scale log analysis of email revisitation, the activities that people perform on revisited email messages (e.g. responding to, organizing or deleting messages, and opening attachments), and the strategies they use to go back to these emails. We find that most emails have a short lifetime, with more than 33% having a lifetime of less than 5 minutes. We also find that deleting is the most common action taken on messages visited once, and that responding and organizing are more common for messages visited more than once. We complement the log analysis with a survey to understand the motivation behind revisits and the types of emails that are revisited. The survey results show that 73% of the visits are to find information (e.g. a link or document, instructions to perform a task, or answers to questions), while 20% of revisits are to respond to the email. Our findings have implications for designing email clients and intelligent agents that support both short- and long-term revisitation patterns.","PeriodicalId":198379,"journal":{"name":"Proceedings of the 2018 Conference on Human Information Interaction & Retrieval","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134496680","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

With Maps and Mobs: Searching for Trustworthiness using Belief Spaces 与地图和暴徒:使用信仰空间搜索可信度

Proceedings of the 2018 Conference on Human Information Interaction & Retrieval Pub Date : 2018-03-01 DOI: 10.1145/3176349.3176353

Philip G. Feldman

引用次数: 3

Strategies for Finding and Evaluating Information about Personal Finance Topics: The Role of Government Information 个人理财主题信息的发现与评估策略:政府信息的作用

Proceedings of the 2018 Conference on Human Information Interaction & Retrieval Pub Date : 2018-03-01 DOI: 10.1145/3176349.3176883

Kathy Brennan, D. Kelly

引用次数: 1

A Study of Search Practices in Doctoral Student Scholarly Workflows 博士生学术工作流程中的搜索实践研究

Proceedings of the 2018 Conference on Human Information Interaction & Retrieval Pub Date : 2018-03-01 DOI: 10.1145/3176349.3176877

S. Ince, C. Hoadley, P. Kirschner

引用次数: 8

The Role of the Task Topic in Web Search of Different Task Types 任务主题在不同任务类型Web搜索中的作用

Proceedings of the 2018 Conference on Human Information Interaction & Retrieval Pub Date : 2018-03-01 DOI: 10.1145/3176349.3176382

Daniel Hienert, M. Mitsui, Philipp Mayr, C. Shah, N. Belkin

{"title":"The Role of the Task Topic in Web Search of Different Task Types","authors":"Daniel Hienert, M. Mitsui, Philipp Mayr, C. Shah, N. Belkin","doi":"10.1145/3176349.3176382","DOIUrl":"https://doi.org/10.1145/3176349.3176382","url":null,"abstract":"When users are looking for information on the Web, they show different behavior for different task types, e.g., for fact finding vs. information gathering tasks. For example, related work in this area has investigated how this behavior can be measured and applied to distinguish between easy and difficult tasks. In this work, we look at the searcher's behavior in the domain of journalism for four different task types, and additionally, for two different topics in each task type. Search behavior is measured with a number of session variables and correlated to subjective measures such as task difficulty, task success and the usefulness of documents. We acknowledge prior results in this area that task difficulty is correlated to user effort and that easy and difficult tasks are distinguishable by session variables. However, in this work, we emphasize the role of the task topic - in and of itself - over parameters such as the search results and read content pages, dwell times, session variables and subjective measures such as task difficulty or task success. With this knowledge researchers should give more attention to the task topic as an important influence factor for user behavior.","PeriodicalId":198379,"journal":{"name":"Proceedings of the 2018 Conference on Human Information Interaction & Retrieval","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125100784","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: 15

Coagmento: Past, Present, and Future of an Individual and Collaborative Information Seeking Platform 凝固:个人和协作信息搜索平台的过去、现在和未来

Proceedings of the 2018 Conference on Human Information Interaction & Retrieval Pub Date : 2018-03-01 DOI: 10.1145/3176349.3176896

M. Mitsui, Jiqun Liu, C. Shah

引用次数: 6

Analyzing Knowledge Gain of Users in Informational Search Sessions on the Web 网络信息搜索过程中用户知识获取分析

Proceedings of the 2018 Conference on Human Information Interaction & Retrieval Pub Date : 2018-03-01 DOI: 10.1145/3176349.3176381

U. Gadiraju, Ran Yu, S. Dietze, Peter Holtz

{"title":"Analyzing Knowledge Gain of Users in Informational Search Sessions on the Web","authors":"U. Gadiraju, Ran Yu, S. Dietze, Peter Holtz","doi":"10.1145/3176349.3176381","DOIUrl":"https://doi.org/10.1145/3176349.3176381","url":null,"abstract":"Web search is frequently used by people to acquire new knowledge and to satisfy learning-related objectives, but little is known about how a user»s knowledge evolves through the course of a search session. We present a study addressing the knowledge gain of users in informational search sessions. Using crowdsourcing, we recruited 500 distinct users and orchestrated real-world search sessions spanning 10 different topics and information needs. By using scientifically formulated knowledge tests we calibrated the knowledge of users before and after their search sessions, quantifying their knowledge gain. We investigated the impact of information needs on the search behavior and knowledge gain of users, revealing a significant effect of information need on user queries and navigational patterns, but no direct effect on the knowledge gain. Users on average exhibited a higher knowledge gain through search sessions pertaining to topics they were less familiar with. Our findings in this paper contribute important ground work towards advancing current research in understanding user knowledge gain through web search sessions.","PeriodicalId":198379,"journal":{"name":"Proceedings of the 2018 Conference on Human Information Interaction & Retrieval","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128473593","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: 78