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Efficient monitoring of personalized hot news over Web 2.0 streams

Parisa Haghani, Sebastian Michel, Karl Aberer
2011 Computer Science - Research and Development  
The presented approach continuously tracks the most popular tags attached to the incoming items and based on this, constructs a dynamic top-k query.  ...  Web 2.0 streams, like blog postings, microblogging tweets, or RSS feeds from online communities, offer a wealth of latest news about real-world events and societal discussion.  ...  We show how to continuously compute the set of hot items over social (Web 2.0) data streams by defining a dynamic top-k aggregation query and show how pre-aggregations of popular sub queries can be used  ... 
doi:10.1007/s00450-011-0178-9 fatcat:223ntddgivgkbme44jdysxvjlu

EnBlogue

Foteini Alvanaki, Michel Sebastian, Krithi Ramamritham, Gerhard Weikum
2011 Proceedings of the 2011 international conference on Management of data - SIGMOD '11  
EnBlogue continuously monitors Web 2.0 streams and keeps track of sudden changes in tag correlations which can be adjusted using personalization to reflect particular user interests.  ...  INTRODUCTION Web 2.0 streams, like blog postings, micro-blogging tweets, or RSS feeds from online communities, offer a wealth of latest news about real-world events and topics dominating societal discussions  ...  RELATED WORK There is huge interest in analyzing Web 2.0 communities and social media.  ... 
doi:10.1145/1989323.1989473 dblp:conf/sigmod/AlvanakiMRW11 fatcat:jkvtx7g3n5chrehwekwpoyl7km

See what's enBlogue

Foteini Alvanaki, Sebastian Michel, Krithi Ramamritham, Gerhard Weikum
2012 Proceedings of the 15th International Conference on Extending Database Technology - EDBT '12  
With the increasing popularity of Web 2.0 streams, people become overwhelmed by the available information.  ...  The system is fully implemented and publicly available on the Web, processing live Twitter data.  ...  Section 3 presents our framework for Web 2.0 streams. Section 4 discusses statistical measures for characterizing interesting seed tags and tag pairs over time.  ... 
doi:10.1145/2247596.2247636 dblp:conf/edbt/AlvanakiMRW12 fatcat:aem7nb56xbcjtinix6moonx4xy

Keyword-propagation-based information enriching and noise removal for web news videos

Jun Zhang, Xiaoming Fan, Jianyong Wang, Lizhu Zhou
2012 Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '12  
Enhanced algorithms on retrieval, classification and TDT (abbreviation of Topic Detection and Tracking) can bring lots of convenience to Web users as well as release tedious work from the administrators  ...  The volume of Web videos have increased sharply through the past several years because of the evolvement of Web video sites.  ...  Thus tracking hot topics seems much promising to enhance the service of video recommendation.  ... 
doi:10.1145/2339530.2339620 dblp:conf/kdd/ZhangFWZ12 fatcat:3jjhrmyhwzhkvi2iik4xbdozvu

The gist of everything new

Parisa Haghani, Sebastian Michel, Karl Aberer
2010 Proceedings of the 19th ACM international conference on Information and knowledge management - CIKM '10  
Web 2.0 portals have made content generation easier than ever with millions of users contributing news stories in form of posts in weblogs or short textual snippets as in Twitter.  ...  In contrast to this restrictive approach which may still overwhelm the user with the returned stream of data, we envision a system which continuously keeps the user updated with only the top-k relevant  ...  Note that in the context of Web 2.0, all information come with explicit temporal annotations e.g., written at, uploaded at, which makes them natural items of a temporal stream; therefore the definition  ... 
doi:10.1145/1871437.1871502 dblp:conf/cikm/HaghaniMA10 fatcat:xgslgo633fex3l732n2mlq6okq

Vlogging

Wen Gao, Yonghong Tian, Tiejun Huang, Qiang Yang
2010 ACM Computing Surveys  
The metadata is placed conceptually in layers or tracks in a video stream.  ...  Web 2.0 has numerous definitions. As pointed out by O'Reilly [2005] , there are huge numbers of disagreements on what Web 2.0 means.  ... 
doi:10.1145/1749603.1749606 fatcat:qeopjzg4j5bwparwtbmvwdesd4

Be Fast, Cheap and in Control with SwitchKV

Xiaozhou Li, Raghav Sethi, Michael Kaminsky, David G. Andersen, Michael J. Freedman
2016 Symposium on Networked Systems Design and Implementation  
To keep track of recent hot keys, we segment the query stream into separate intervals.  ...  Instead, since only information about hot keys is needed, we can use memory-efficient top-k algorithms to find frequent items in the query stream [8] .  ... 
dblp:conf/nsdi/LiSKAF16 fatcat:ss4f7nknk5b4hls4uaoychbaeu

Extracting Key Entities and Significant Events from Online Daily News [chapter]

Mingrong Liu, Yicen Liu, Liang Xiang, Xing Chen, Qing Yang
2008 Lecture Notes in Computer Science  
First, key entities are extracted by scoring all candidate entities on a specific day and tracking their trends within a specific time window.  ...  To help people obtain the most important information daily in the shortest time, a novel framework is presented for simultaneous key entities extraction and significant events mining from daily web news  ...  and b are free parameters, usually chosen as k = 2.0 and b = 0.75 empirically.  ... 
doi:10.1007/978-3-540-88906-9_26 fatcat:ro42ratv5ngs7ap5kfzcxh6b4e

Priori information and sliding window based prediction algorithm for energy-efficient storage systems in cloud

Zhihui Du, Wenjun Fan, Yunpeng Chai, Yinong Chen
2013 Simulation modelling practice and theory  
The PISWP method targets at streaming media applications, but we also check its efficiency on other two applications, news in webpage and new tool released.  ...  LRU-K [16] algorithm: LRU-K algorithm records the visiting time of the item be accessed in the K previous times, if an item is accessed less than K times, then the first K of the visit prior to the time  ...  As such, Web 2.0 sites provide users with information storage, creation, and dissemination capabilities that were not possible in the environment now known as ''Web 1.0''.  ... 
doi:10.1016/j.simpat.2013.06.002 fatcat:hoegpbdhkjc3vmgef2djnzjbyy

A Parallel-SQLIA Detector for Web Security

Pankaj Kumar, C.P. Katti
2016 International Journal of Information Engineering and Electronic Business  
Further this design can be implemented in real web application environment; and the design interface can be standardized to cooperate with web application and the SQLIA detectors.  ...  The Algorithm uses the concept of Hot Query Bank (HQB) to cooperate with the existing SQLIA detectors (e.g. AMNESIA, SQLGuard, etc) and enhances the system performance.  ...  Sliding Window Let S be a query stream and W be the sliding window size. Each query q in the query stream is designated with a timestamp q.t to indicate its arrival time.  ... 
doi:10.5815/ijieeb.2016.02.08 fatcat:kxxeikpztbe2rcore7oyilcyde

Muppet: MapReduce-Style Processing of Fast Data [article]

Wang Lam, Lu Liu, STS Prasad, Anand Rajaraman, Zoheb Vacheri, AnHai Doan
2012 arXiv   pre-print
Examples of such data include sensor data streams, the Twitter Firehose, and Facebook updates. Numerous applications must process fast data.  ...  Can we provide a MapReduce-style framework so that developers can quickly write such applications and execute them over a cluster of machines, to achieve low latency and high scalability?  ...  The counts are maintained continuously and displayed "live" on a Web page. ✷ Example 2. The second application monitors the Twitter Firehose to detect hot topics as they occur.  ... 
arXiv:1208.4175v1 fatcat:5sqwexztlfcc5lxitfj4wyvvv4

Muppet

Wang Lam, Lu Liu, Sts Prasad, Anand Rajaraman, Zoheb Vacheri, AnHai Doan
2012 Proceedings of the VLDB Endowment  
Examples of such data include sensor data streams, the Twitter Firehose, and Facebook updates. Numerous applications must process fast data.  ...  Can we provide a MapReduce-style framework so that developers can quickly write such applications and execute them over a cluster of machines, to achieve low latency and high scalability?  ...  The counts are maintained continuously and displayed "live" on a Web page. ✷ Example 2. The second application monitors the Twitter Firehose to detect hot topics as they occur.  ... 
doi:10.14778/2367502.2367520 fatcat:xdveu6biufberfxtjomlx6xjoq

Delivering QOS in XML Data Stream Processing Using Load Shedding

Ranjan Dash
2012 International Journal of Database Management Systems  
Examples include financial data analysis on feeds of stock tickers, sensorbased environmental monitoring, network track monitoring and click stream analysis to push customized advertisements or intrusion  ...  XML stream context.  ...  To determine top-k hot items, these windows must span over the life span of all auction items.  ... 
doi:10.5121/ijdms.2012.4304 fatcat:tpcporrjevdyzpcsv4kkhea6gq

Multimedia, visual computing, and the information superhighway

Frederick L. Kitson, Yongmin Kim
1996 Medical Imaging 1996: Image Display  
x (N/k) .  ...  We have developed exact 9 and approximate scaling algorithms for scale-down by 2 (k=2), scale-down by 3(k=3) and scale-down by 4(k=4).  ... 
doi:10.1117/12.238464 fatcat:rb75dvk65bdlhlhytcd6epnbqm

Web Tracking Site Detection Based on Temporal Link Analysis and Automatic Blacklist Generation

Akira Yamada, Masanori Hara, Yutaka Miyake
2011 Journal of Information Processing  
Web tracking sites or Web bugs are potential but serious threats to users' privacy during Web browsing.  ...  In this paper, we propose Web tracking sites detection and blacklist generation based on temporal link analysis.  ...  This implies that there are many unlisted tracking sites in all over the Web sites.  ... 
doi:10.2197/ipsjjip.19.62 fatcat:2mm6ecrqs5dvzacga7bnp3wfyq
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