ACM Home Page
Please provide us with feedback. Feedback
Using annotations in enterprise search
Full text PdfPdf (290 KB)
Source International World Wide Web Conference archive
Proceedings of the 15th international conference on World Wide Web table of contents
Edinburgh, Scotland
SESSION: Industrial practice & experience table of contents
Pages: 811 - 817  
Year of Publication: 2006
ISBN:1-59593-323-9
Authors
Pavel A. Dmitriev  Cornell University, Ithaca, NY
Nadav Eiron  Google Inc., Mountain View, CA
Marcus Fontoura  Yahoo! Inc., Sunnyvale, CA
Eugene Shekita  IBM Almaden Research Center, San Jose, CA
Sponsors
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 19,   Downloads (12 Months): 151,   Citation Count: 3
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Review this Article  
Save this Article to a Binder    Display Formats: BibTex  EndNote ACM Ref   
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1135777.1135900
What is a DOI?

ABSTRACT

A major difference between corporate intranets and the Internet is that in intranets the barrier for users to create web pages is much higher. This limits the amount and quality of anchor text, one of the major factors used by Internet search engines, making intranet search more difficult. The social phenomenon at play also means that spam is relatively rare. Both on the Internet and in intranets, users are often willing to cooperate with the search engine in improving the search experience. These characteristics naturally lead to considering using user feedback to improve search quality in intranets. In this paper we show how a particular form of feedback, namely user annotations, can be used to improve the quality of intranet search. An annotation is a short description of the contents of a web page, which can be considered a substitute for anchor text. We propose two ways to obtain user annotations, using explicit and implicit feedback, and show how they can be integrated into a search engine. Preliminary experiments on the IBM intranet demonstrate that using annotations improves the search quality.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Anchor text optimization. www.seo-gold.com/tutorial/anchor-text-optimization.html
 
2
Google enterprise solutions. http://www.google.com/enterprise/http://www.google.com/enterprise/.
 
3
IBM OmniFind solution for enterprise search. http://www-306.ibm.com/software/data/integration/db2ii/editions_womnifind.html
 
4
NCSA mosaic: Annotations overview. http://archive.ncsa.uiuc.edu/SDG/Software/XMosaic/Annotations/overview.html
 
5
Panoptic enterprise search engine. http://www.panopticsearch.comhttp://www.panopticsearch.com.
 
6
StumbleUpon. http://www.stumbleupon.comhttp://www.stumbleupon.com.
 
7
Verity enterprise search solution. http://www.verity.com/products/search/enterprise_web_search/index.html
 
8
Yahoo! MyWeb 2.0 BETA. http://myweb2.search.yahoo.com/
 
9
 
10
Vannevar Bush. As we may think. In The Atlantic Monthly, July 1945.
11
 
12
 
13
Laurent Denoue and Laurence Vignollet. New ways of using web annotations. In Proc. 9th World Wide Web Conference, Amsterdam, 2000.
14
15
 
16
Susan Feldman and Chris Sherman. The high cost of not finding information. In IDC Technical Report 29127, 2003.
 
17
Marcus Fontoura, Eugene J. Shekita, Jason Y. Zien, Sridhar Rajagopalan, and Andreas Neumann. High performance index build algorithms for intranet search engines. In VLDB, pages 1158--1169, 2004.
 
18
19
 
20
Thorsten Joachims, Dayne Freitag, and Tom Mitchell. Webwatcher: A tour guide for the world wide web. In Proc. International Joint Conference on Artificial Intelligence, Nagoya, Japan, 1997.
21
 
22
23
 
24
Lawrence Page, Sergey Brin, Rajeev Motwani, and Terry Winograd. The PageRank citation ranking: Bringing order to the web. Technical report, Stanford Digital Library Technologies Project, 1998. Paper SIDL-WP-1999-0120 (version of 11/11/1999).
25
 
26
 
27
28
 
29
I. Witten, A. Moffat, and T. Bell. Managing Gigabytes. Morgan Kaufmann, 1999.


Collaborative Colleagues:
Pavel A. Dmitriev: colleagues
Nadav Eiron: colleagues
Marcus Fontoura: colleagues
Eugene Shekita: colleagues