The quest for correct information on the Web: hyper search engines
Selected papers from the sixth international conference on World Wide Web
Improved algorithms for topic distillation in a hyperlinked environment
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Automatic resource compilation by analyzing hyperlink structure and associated text
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Finding related pages in the World Wide Web
WWW '99 Proceedings of the eighth international conference on World Wide Web
Trawling the Web for emerging cyber-communities
WWW '99 Proceedings of the eighth international conference on World Wide Web
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
Evaluating evaluation measure stability
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Searching the Web: the public and their queries
Journal of the American Society for Information Science and Technology
Finding authorities and hubs from link structures on the World Wide Web
Proceedings of the 10th international conference on World Wide Web
SALSA: the stochastic approach for link-structure analysis
ACM Transactions on Information Systems (TOIS)
Modifications of Kleinberg's HITS algorithm using matrix exponentiation and web log records
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Improvement of HITS-based algorithms on web documents
Proceedings of the 11th international conference on World Wide Web
Mining the Web's Link Structure
Computer
ACM SIGIR Forum
Stuff I've seen: a system for personal information retrieval and re-use
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
XRANK: ranked keyword search over XML documents
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
In pursuit of desktop evolution: User problems and practices with modern desktop systems
ACM Transactions on Computer-Human Interaction (TOCHI)
TaskTracer: a desktop environment to support multi-tasking knowledge workers
Proceedings of the 10th international conference on Intelligent user interfaces
Don't take my folders away!: organizing personal information to get ghings done
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Genre, task, topic and time: facets of personal digital document management
CHINZ '05 Proceedings of the 6th ACM SIGCHI New Zealand chapter's international conference on Computer-human interaction: making CHI natural
Accurately interpreting clickthrough data as implicit feedback
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Connections: using context to enhance file search
Proceedings of the twentieth ACM symposium on Operating systems principles
Fewer clicks and less frustration: reducing the cost of reaching the right folder
Proceedings of the 11th international conference on Intelligent user interfaces
Objectrank: authority-based keyword search in databases
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
On ranking techniques for desktop search
ACM Transactions on Information Systems (TOIS)
Let's stop pushing the envelope and start addressing it: a reference task agenda for HCI
Human-Computer Interaction
Building a desktop search test-bed
ECIR'07 Proceedings of the 29th European conference on IR research
Topic distillation in desktop search
DEXA'06 Proceedings of the 17th international conference on Database and Expert Systems Applications
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We propose and describe Parameterized filesystem HITS (PFH), a lightweight rearrangement algorithm that performs a re-ranking of existing content-only search results in tree-like hierarchical corpora, such as a filesystem. PFH does this by combining the content analysis of the results with structural analysis of how they are organized. An 驴 parameter is used to vary the structure-content bias, allowing us to observe changes in performance when we place more emphasis on structure or on content. Using real and simulated data, experiments are provided to show that 驴 = 0.8 (i.e, 20% structure and 80% content) can substantially boost Mean Reciprocal Rank while keeping other IR metrics steady. Such an algorithm may be useful for building retrieval systems over hierarchical content such as Desktop Search, technical documents and books.