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Tracking Web Video Topics: Discovery, Visualization, and Monitoring

Juan Cao, Chong-Wah Ngo, Yong-Dong Zhang, Jin-Tao Li
2011 IEEE transactions on circuits and systems for video technology (Print)  
Specifically, such process involves discovering of new topic, visualization of the topic content and incremental monitoring of topic evolution. This paper studies the problem from three aspects.  ...  Finally, giving the previously discovered topics, an incremental monitoring algorithm is proposed to track newly uploaded videos, while discovering new topics and giving recommendation to potentially hot  ...  Event is a group of related web videos conveying a story and discovered at a time slot. Topic is a group of topic related events found over different time slots.  ... 
doi:10.1109/tcsvt.2011.2148470 fatcat:uhcscretszg7zgl2pugtu57req

A First Study on Temporal Dynamics of Topics on the Web

Aécio Santos, Bruno Pasini, Juliana Freire
2016 Proceedings of the 25th International Conference Companion on World Wide Web - WWW '16 Companion  
evolve over time.  ...  For the latter, the problem is compounded by the fact that it is important not only to maintain alreadycrawled pages fresh, but also to identify new relevant content and expand the collection.  ...  , the relevance of some pages very over time and at different rates; • By revisiting previously downloaded pages, a focused crawler can discover links that lead to new pages, but many of these can be off-topic  ... 
doi:10.1145/2872518.2889291 dblp:conf/www/SantosPF16 fatcat:biyungci25a57d2tzlugspuc7i

Conference Mining via Generalized Topic Modeling [chapter]

Ali Daud, Juanzi Li, Lizhu Zhou, Faqir Muhammad
2009 Lecture Notes in Computer Science  
By using it we can discover topically related conferences, conferences correlations and conferences temporal topic trends.  ...  Experimental results show that proposed approach significantly outperformed baseline approach in discovering topically related conferences and finding conferences correlations because of its ability to  ...  For this purpose we apply equation 4 only on the word tokens in the new conference each time temporarily updating the count matrices of (word by topic) and (topic by conference).  ... 
doi:10.1007/978-3-642-04180-8_33 fatcat:zk3cds6pwvf5fkz3vmlz3grixm

A practical system for harvesting and monitoring hot topics on the web

Xiaojun Wan, Jianwu Yang
2010 Proceedings of the 19th international conference on World wide web - WWW '10  
FounderWISE consists of five components: Web crawler, text classifier, topic detector, topic summarizer and topic analyzer.  ...  This poster briefly describes a practical system named FounderWISE for harvesting and monitoring hot topics on the Web.  ...  Topic detection and tracking (TDT) [1] is one of such techniques to detect events or topics from a news text stream.  ... 
doi:10.1145/1772690.1772872 dblp:conf/www/WanY10 fatcat:iaxk7obopbcpxccuv3inh55jxm

Fast topic discovery from web search streams

Di Jiang, Kenneth Wai-Ting Leung, Wilfred Ng
2014 Proceedings of the 23rd international conference on World wide web - WWW '14  
However, the existing methods usually discover latent topics from web search data in an offline and retrospective fashion.  ...  We observe that WSSM together with SPI discovers latent topics from web search streams faster than the state-of-the-art methods while retaining a comparable topic modeling accuracy.  ...  Besides discovering latent topics from web search streams, WSSM is able to detect topic evolution over time.  ... 
doi:10.1145/2566486.2567965 dblp:conf/www/JiangLN14 fatcat:7c2dghxysra4nc5eaokhbgyxgi

Matching and Ranking with Hidden Topics towards Online Contextual Advertising

Dieu-Thu Le, Cam-Tu Nguyen, Quang-Thuy Ha, Xuan-Hieu Phan, Susumu Horiguchi
2008 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology  
This framework provides a mechanism to discover the sematic relations between Web pages and ad messages by analyzing topics for them.  ...  In online contextual advertising, ad messages are displayed related to the content of the target Web page.  ...  Acknowledgements This work is partly supported by the Project QC.07.06 "Vietnamese named entity resolution & tracking crossover Web documents", Vietnam National University, Hanoi and National Project 02.2006  ... 
doi:10.1109/wiiat.2008.180 dblp:conf/webi/LeNHPH08 fatcat:olxksnt2wfez7dqnix4njhgfoi

Clustering of Deep WebPages: A Comparative Study

Muhunthaadithya C, Rohit J.V, Sadhana Kesavan1, Sivasankar E
2015 International Journal of Computer Science & Information Technology (IJCSIT)  
Several machine learning techniques have been commonly employed to access deep web content. Under machine learning, topic models provide a simple way to analyze large volumes of unlabeled text.  ...  A 'topic'is a cluster of words that frequently occur together and topic models can connect words with similar meanings and distinguish between words with multiple meanings.  ...  Multiple web pages parsed and given as input to LDA. 2. Number of Topics to be discovered. Output: Clusters -A set of topics with most occurring words in each topic.  ... 
doi:10.5121/ijcsit.2015.7512 fatcat:xtmvk2erlfdc5npf23bzrrq4ui

Identification of User Aware Rare Sequential Pattern in Document Stream An Overview

Rajeshri R. Shelke
2019 Zenodo  
They are rare on the whole but relatively frequent for specific users, so can be applied in many real life scenarios, such as real time monitoring on abnormal user behaviours.  ...  Most of existing works are devoted to topic modeling and the evolution of individual topics, while sequential relations of topics in successive documents published by a specific user are ignored.  ...  To obtain the temporal dynamics of topics, various dynamic topic modeling methods have been proposed to discover topics over time in document streams [6] .  ... 
doi:10.5281/zenodo.3591065 fatcat:4kmd2knkvbdwjlqvhldmkylpnq

Research Community Mining via Generalized Topic Modeling

Ali Daud, Muhammad Akram Shaikh, Faqir Muhammad
2012 Mehran University Research Journal of Engineering and Technology  
We show how topics and authors can be inferred for new venues and how author-to-author and venue-to-venue correlations can be discovered.  ...  We propose a VAT (Venue Author Topic Approach) based on Author-Topic model to discover inherent community structures in a more realistic way by modeling from VL.  ...  discovered by VAT is very much clear about searching information on the web, while "Web Search" topic discovered by ACT1 is not clear as web search, web services and XML are mixed in one topic.  ... 
doaj:d31d587a289b4c8a83ec99e8dcc1d3fb fatcat:bjh77xaghvdvljmwf5egwbshhu

Identifying Agitators as Important Blogger Based on Analyzing Blog Threads [chapter]

Shinsuke Nakajima, Junichi Tatemura, Yoshinori Hara, Katsumi Tanaka, Shunsuke Uemura
2006 Lecture Notes in Computer Science  
To capture 'hot' conversation topics from blogs and deliver them to users in a timely manner, we propose a method of discovering bloggers who take an important role in conversations.  ...  In this paper, we discuss models of blogs and blog thread data, and methods of extracting blog threads, discovering important bloggers, and acquiring important content from their entries.  ...  This research is partly supported by the research for a Grant of Scientific Research (16016247 and 14208036) from the Ministry of Education, Culture, Sports, Science and Technology of Japan, and the Informatics  ... 
doi:10.1007/11610113_26 fatcat:gsifa4yk5bck3pxlhafnhr2psq

Finding topic trends in digital libraries

Levent Bolelli, Seyda Ertekin, Ding Zhou, C. Lee Giles
2009 Proceedings of the 2009 joint international conference on Digital libraries - JCDL '09  
The document collection is divided into time segments where the discovered topics in each segment is propagated to influence the topic discovery in the subsequent time segments.  ...  The experiment results show that segmented topic model can effectively detect distinct topics and their evolution over time.  ...  It is clear that popularity of topics vary over time, new topics emerge and some topics cease to exist.  ... 
doi:10.1145/1555400.1555411 dblp:conf/jcdl/BolelliEZG09 fatcat:2svgj6jwvrfsxh2ciey4jnm6ym

Mining the Web for relations

Neel Sundaresan, Jeonghee Yi
2000 Computer Networks  
At the same time, with the pervasiveness of Web access, an increasing number of users is relying on Web search engines for interesting information.  ...  The Web is a vast source of information. However, due to the disparate authorship of Web pages, this information is buried in its amorphous and chaotic structure.  ...  A new AE-pair was discovered for every 5 pages, and a new pattern was discovered for every 14.5 Web pages.  ... 
doi:10.1016/s1389-1286(00)00085-2 fatcat:j2lsjuxbebfgxaulc6j2wg46ta

SWAMI: Searching the Web Using Agents with Mobility and Intelligence [chapter]

Mark Kilfoil, Ali Ghorbani
2005 Lecture Notes in Computer Science  
It combines multiple aspects of adaptive web technologies into a framework for an intelligent web browsing system.  ...  The rapid growth of the World Wide Web has complicated the process of web browsing by providing an overwhelming wealth of choices for the end user.  ...  At age 77, a new topic was focused on, and a new agent, Charlie 4 was created in response.  ... 
doi:10.1007/11424918_11 fatcat:ekir4kri7rgb3fuu76r5avjqnm

The early-adopter graph and its application to web-page recommendation

Ida Mele, Francesco Bonchi, Aristides Gionis
2012 Proceedings of the 21st ACM international conference on Information and knowledge management - CIKM '12  
In this paper we present a novel graph-based data abstraction for modeling the browsing behavior of web users. The objective is to identify users who discover interesting pages before others.  ...  By tracking the browsing activity of early adopters we can identify new interesting pages early, and recommend these pages to similar users.  ...  We call these users early adopters, a term we borrow from social sciences, economics and marketing research, in which early adopters are people who embrace new technologies before others, buy new products  ... 
doi:10.1145/2396761.2398497 dblp:conf/cikm/MeleBG12 fatcat:uoau3jujfraqvayj4plygfcvua

Future Directions of Communities on the Web [chapter]

Naohiro Matsumura, Yukio Ohsawa, Mitsuru Ishizuka
2001 Lecture Notes in Computer Science  
Discovering new topics which cover new items, problems, and ideas (e.g., mobile phone, global warming, human genome project, etc) is truly profitable, important, and interesting for us.  ...  In this paper, we describe our approach for discovering the future directions of communities on the web to detect chances.  ...  [8] discovered promising new topics on the web by visualizing new combinations of communities sharing common topics. Ohsawa et al.  ... 
doi:10.1007/3-540-45548-5_59 fatcat:kgx6tlxd5zaupc2kfdxtjfg2t4
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