TY - CONF AU - Adamic, Lada A. A2 - T1 - The social hyperlink T2 - HT '09: Proceedings of the 20th ACM conference on Hypertext and hypermedia PB - ACM C1 - New York, NY, USA PY - 2009/ CY - VL - IS - SP - 1 EP - 2 UR - http://portal.acm.org/citation.cfm?id=1557914.1557916&coll=portal&dl=acm&type=series&idx=SERIES399&part=series&WantType=Proceedings&title=HT&CFID=://www.bibsonomy.org/user/hotho/ht09&CFTOKEN=www.bibsonomy.org/user/hotho/ht09 DO - http://doi.acm.org/10.1145/1557914.1557916 KW - ht09 KW - hyperlink KW - keynote KW - social L1 - SN - 978-1-60558-486-7 N1 - HT: HT '09, The social hyperlink N1 - AB - ER - TY - CONF AU - Morishima, Atsuyuki AU - Nakamizo, Akiyoshi AU - Iida, Toshinari AU - Sugimoto, Shigeo AU - Kitagawa, Hiroyuki A2 - T1 - Bringing Your Dead Links Back to Life: A Comprehensive Approach and Lessons Learned T2 - HT '09: Proceedings of the Twentieth ACM Conference on Hypertext and Hypermedia PB - ACM C1 - New York, NY, USA PY - 2009/07 CY - VL - IS - SP - EP - UR - DO - KW - broken KW - detection KW - ht09 KW - hyperlink KW - link L1 - SN - N1 - N1 - AB - This paper presents an experimental study of the automatic correction of broken (dead) Web links focusing, in particular, on links broken by the relocation of Web pages.

Our first contribution is that we developed an algorithm that incorporates a comprehensive set of heuristics, some of which are novel, in a single unified framework.

The second contribution is that we conducted a relatively large-scale experiment, and analysis of our results revealed the characteristics of the problem of finding moved Web pages.

We demonstrated empirically that the problem of searching for moved pages is different from typical information retrieval problems.

First, it is impossible to identify the final destination until the page is moved, so the index-server approach is not necessarily effective.

Secondly, there is a large bias about where the new address is likely to be and crawler-based solutions can be effectively implemented, avoiding the need to search the entire Web.

We analyzed the experimental results in detail to show how important each heuristic is in real Web settings,

and conducted statistical analyses to show that our algorithm succeeds in correctly finding new links for more than 70% of broken links at 95% confidence level. ER - TY - CONF AU - Chakrabarti, S. AU - Dom, B. AU - Gibson, D. AU - Kleinberg, J. AU - Raghavan, P. AU - Rajagopalan, S. A2 - T1 - Automatic resource compilation by analyzing hyperlink structure and associated text T2 - Proceedings of the 7th World-wide web conference (WWW7),30(1-7) PB - C1 - PY - 1998/ CY - VL - IS - SP - 65 EP - 74 UR - citeseer.nj.nec.com/chakrabarti98automatic.html DO - KW - text KW - compilation KW - hyperlink KW - analyze KW - resource KW - structure KW - automatic L1 - SN - N1 - N1 - AB - ER -