Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval最新文献_第3页

To translate or not to translate? 翻译还是不翻译?

Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval Pub Date : 2010-07-19 DOI: 10.1145/1835449.1835558

Chia-Jung Lee, Chin-Hui Chen, Shao-Hang Kao, Pu-Jen Cheng

引用次数: 11

Temporal diversity in recommender systems 推荐系统的时间多样性

Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval Pub Date : 2010-07-19 DOI: 10.1145/1835449.1835486

N. Lathia, S. Hailes, L. Capra, X. Amatriain

引用次数: 318

Re-examination on lam% in spam filtering 垃圾邮件过滤中lam%的再检验

Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval Pub Date : 2010-07-19 DOI: 10.1145/1835449.1835601

Haoliang Qi, Muyun Yang, Xiaoning He, Sheng Li

引用次数: 6

Geometric representations for multiple documents 多个文档的几何表示

Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval Pub Date : 2010-07-19 DOI: 10.1145/1835449.1835493

Jangwon Seo, W. Bruce Croft

{"title":"Geometric representations for multiple documents","authors":"Jangwon Seo, W. Bruce Croft","doi":"10.1145/1835449.1835493","DOIUrl":"https://doi.org/10.1145/1835449.1835493","url":null,"abstract":"Combining multiple documents to represent an information object is well-known as an effective approach for many Information Retrieval tasks. For example, passages can be combined to represent a document for retrieval, document clusters are represented using combinations of the documents they contain, and feedback documents can be combined to represent a query model. Various techniques for combination have been introduced, and among them, representation techniques based on concatenation and the arithmetic mean are frequently used. Some recent work has shown the potential of a new representation technique using the geometric mean. However, these studies lack a theoretical foundation explaining why the geometric mean should have advantages for representing multiple documents. In this paper, we show that the arithmetic mean and the geometric mean are approximations to the center of mass in certain geometries, and show empirically that the geometric mean is closer to the center. Through experiments with two IR tasks, we show the potential benefits for geometric representations, including a geometry-based pseudo-relevance feedback method that outperforms state-of-the-art techniques.","PeriodicalId":378368,"journal":{"name":"Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131093026","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: 35

Session details: Summarization & user feedback 会议细节:总结和用户反馈

Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval Pub Date : 2010-07-19 DOI: 10.1145/3254382

E. Liddy

引用次数: 0

Context aware query classification using dynamic query window and relationship net 基于动态查询窗口和关系网的上下文感知查询分类

Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval Pub Date : 2010-07-19 DOI: 10.1145/1835449.1835584

Nazli Goharian, Saket S. R. Mengle

引用次数: 5

Comparing the sensitivity of information retrieval metrics 比较信息检索指标的敏感性

Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval Pub Date : 2010-07-19 DOI: 10.1145/1835449.1835560

Filip Radlinski, Nick Craswell

{"title":"Comparing the sensitivity of information retrieval metrics","authors":"Filip Radlinski, Nick Craswell","doi":"10.1145/1835449.1835560","DOIUrl":"https://doi.org/10.1145/1835449.1835560","url":null,"abstract":"Information retrieval effectiveness is usually evaluated using measures such as Normalized Discounted Cumulative Gain (NDCG), Mean Average Precision (MAP) and Precision at some cutoff (Precision@k) on a set of judged queries. Recent research has suggested an alternative, evaluating information retrieval systems based on user behavior. Particularly promising are experiments that interleave two rankings and track user clicks. According to a recent study, interleaving experiments can identify large differences in retrieval effectiveness with much better reliability than other click-based methods. We study interleaving in more detail, comparing it with traditional measures in terms of reliability, sensitivity and agreement. To detect very small differences in retrieval effectiveness, a reliable outcome with standard metrics requires about 5,000 judged queries, and this is about as reliable as interleaving with 50,000 user impressions. Amongst the traditional measures, NDCG has the strongest correlation with interleaving. Finally, we present some new forms of analysis, including an approach to enhance interleaving sensitivity.","PeriodicalId":378368,"journal":{"name":"Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121831496","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: 111

Session details: Web IR and social media search 会议细节:Web IR和社交媒体搜索

Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval Pub Date : 2010-07-19 DOI: 10.1145/3254378

H. Zaragoza

引用次数: 0

Visual summarization of web pages 网页的可视化摘要

Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval Pub Date : 2010-07-19 DOI: 10.1145/1835449.1835533

Binxing Jiao, Linjun Yang, Jizheng Xu, Feng Wu

{"title":"Visual summarization of web pages","authors":"Binxing Jiao, Linjun Yang, Jizheng Xu, Feng Wu","doi":"10.1145/1835449.1835533","DOIUrl":"https://doi.org/10.1145/1835449.1835533","url":null,"abstract":"Visual summarization is a attractive new scheme to summarize web pages, which can help achieve a more friendly user experience in search and re-finding tasks by allowing users quickly get the idea of what the web page is about and helping users recall the visited web page. In this paper, we perform a careful study on the recently proposed visual summarization approaches, including the thumbnail of the web page snapshot, the internal image in the web page which is representative of the content in the page, and the visual snippet which is a synthesized image based on the internal image, the title, and the logo found in the web page. Moreover, since the internal image based summarization approach hardly works when the representative internal images are unavailable, we propose a new strategy, which retrieves the representative image from the external to summarize the web page. The experimental results suggest that the various summarization approaches have respective advantages on different types of web pages. While internal images and thumbnails can provide a reliable summarization on web pages with dominant images and web pages with simple structure respectively, the external images are regarded as a useful information to complement the internal images and are demonstrated very useful in helping users understanding new web pages . The visual snippet performs well on the re-finding tasks since it incorporates the title and logo which are advantageous on identifying the visited web pages.","PeriodicalId":378368,"journal":{"name":"Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124966706","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: 35

Using flickr geotags to predict user travel behaviour 使用flickr地理标签来预测用户的旅行行为

Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval Pub Date : 2010-07-19 DOI: 10.1145/1835449.1835648

M. Clements, P. Serdyukov, A. D. Vries, M. Reinders

引用次数: 112