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Efficient monitoring of personalized hot news over Web 2.0 streams
2011
Computer Science - Research and Development
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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
2011
Proceedings of the 2011 international conference on Management of data - SIGMOD '11
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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
2012
Proceedings of the 15th International Conference on Extending Database Technology - EDBT '12
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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
2012
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '12
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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
2010
Proceedings of the 19th ACM international conference on Information and knowledge management - CIKM '10
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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
2010
ACM Computing Surveys
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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
2016
Symposium on Networked Systems Design and Implementation
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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]
2008
Lecture Notes in Computer Science
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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
2013
Simulation modelling practice and theory
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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
2016
International Journal of Information Engineering and Electronic Business
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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]
2012
arXiv
pre-print
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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
2012
Proceedings of the VLDB Endowment
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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
2012
International Journal of Database Management Systems
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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
1996
Medical Imaging 1996: Image Display
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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
2011
Journal of Information Processing
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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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