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- A1 Sitemap Generator
- Windows software to help users create text, HTML, RSS and XML sitemaps by crawling even the inaccessible parts of the website.
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- G Sitemap Generator
- Generator creates XML and HTML variants of sitemaps. Free up to a maximum of 750 pages and 1500 pages after logging in.
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- GSite Crawler
- Flexible Google Sitemap generator for Windows which has options to produce a urllist-file for Yahoo, RSS feed, or an HTML Sitemap.
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- Online XML Sitemap Generator
- Generate sitemaps for free up to 3000 pages. Additional features include map validator and broken links reporting.
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- Sitemap Writer Pro
- Professional XML Sitemap creator with features to generate, update and submit them to search engines, Windows software.
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- XML Sitemap Generator
- Online tool which creates XML, ROR, HTML and Text sitemaps for free, image and video sitemaps for a fee. The site contains other SEO tools, too.
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- XML Sitemaps
- Offers a sitemap generator that creates XML and HTML variants. Free up to a maximum of 500 pages or purchase a script for unlimited use.
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- Enhanced Word Clustering for Hierarchical Text Classification
- By Inderjit S. Dhillon, Subramanyam Mallela and Rahul Kumar, University of Texas, Austin, USA. Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining, 2002. The authors propose a new information-theoretic divisive algorithm for word clustering applied to text classification. Experimental results are based on a 20 Newsgroups data set and a 3-level hierarchy of HTML documents collected from ODP´s Science toplevel. [PDF]
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- Improving Web Search Results Using Affinity Graph
- By Benyu Zhang, Hua Li, Yi Liu, Lei Ji, Wensi Xi, Weiguo Fan, Zheng Chen and Wei-Ying Ma. In: Proceedings of the 28th Annual International ACM SIGIR Conference, August 2005. The authors propose a ranking scheme named Affinity Ranking (AR). Yahoo, ODP and newsgroup data are used for the experiments.
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- Index Construction for Linear Categorisation
- By Vaughan R. Shanks and Hugh E. Williams, RMIT University, Melbourne, Australia. Proceedings of the twelfth international conference on Information and knowledge management, 2003. A problem with iterative training techniques for automatic text categorisation such as Support Vector Machines (SVM) is that during the learning phase, they require the entire training collection to be held in main-memory, which is infeasible for large training collections such as DMOZ or large news wire feeds. The authors present techniques which permit automatic categorisation using very large training collections, vocabularies, and numbers of categories. ODP is mentioned as a possible set of training data.
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- Using ODP Metadata to Personalize Search
- By Paul Alexandru Chirita, Wolfgang Nejdl, Raluca Paiu and Christian Kohlschütter, L3S and University of Hannover, Germany. In: Proceedings of the 28th Annual International ACM SIGIR Conference, August 2005. The paper discusses how ODP metadata can be exploited to achieve high quality personalized web search. [PDF]
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- Web-Page Summarization Using Clickthrough Data
- By Jian-Tao Sun, Dou Shen, HuaJun Zeng, Qiang Yang, Yuchang Lu and Zheng Chen. In: Proceedings of the 28th Annual International ACM SIGIR Conference, August 2005. The authors propose two adapted summarization methods that take advantage of the relationships discovered from clickthrough data. For those pages not covered by clickthrough data, they put forward a thematic lexicon approach to generate implicit knowledge. The methods are evaluated on a relatively small dataset consisting of manually annotated pages as well as a large dataset crawled from ODP.
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- OnlineSoldier.com: How to Submit to the Open Directory Project
- Features a general overview of how the ODP works and a checklist of do's and dont's for potential submitters.
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- Promoting Your Web Site with ODP
- A brief guide to the advantages and basic techniques in getting listed in the ODP.
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- Web Spam Taxonomy
- By Zoltán Gyöngyi and Hector Garcia-Molina, Stanford University. First International Workshop on Adversarial Information Retrieval on the Web, May 2005. Offers a definition of spam and an overview on current spamming techniques. The ODP guidelines are quoted as example for existing definitions of spam. [PDF]