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» An Analysis of Factors Used in Search Engine Ranking
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ACSC
2000
IEEE
14 years 1 months ago
Needles and Haystacks: A Search Engine for Personal Information Collections
Information retrieval systems can be partitioned into two main classes: large-scale systems that make use of an inverted index or some other auxiliary data structure, intended for...
Owen de Kretser, Alistair Moffat
DEXA
2006
Springer
160views Database» more  DEXA 2006»
14 years 10 days ago
Clustering of Search Engine Keywords Using Access Logs
Abstract. It the becomes possible that users can get kinds of information by just inputting search keyword(s) representing the topic which users are interested in. But it is not al...
Shingo Otsuka, Masaru Kitsuregawa
NIPS
2001
13 years 10 months ago
The Intelligent surfer: Probabilistic Combination of Link and Content Information in PageRank
The PageRank algorithm, used in the Google search engine, greatly improves the results of Web search by taking into account the link structure of the Web. PageRank assigns to a pa...
Matthew Richardson, Pedro Domingos
SIGIR
2006
ACM
14 years 2 months ago
Adapting ranking SVM to document retrieval
The paper is concerned with applying learning to rank to document retrieval. Ranking SVM is a typical method of learning to rank. We point out that there are two factors one must ...
Yunbo Cao, Jun Xu, Tie-Yan Liu, Hang Li, Yalou Hua...
ERCIMDL
2005
Springer
305views Education» more  ERCIMDL 2005»
14 years 2 months ago
Focused Crawling Using Latent Semantic Indexing - An Application for Vertical Search Engines
Vertical search engines and web portals are gaining ground over the general-purpose engines due to their limited size and their high precision for the domain they cover. The number...
George Almpanidis, Constantine Kotropoulos, Ioanni...