K
Knut Magne Risvik
Researcher at Microsoft
Publications - 15
Citations - 277
Knut Magne Risvik is an academic researcher from Microsoft. The author has contributed to research in topics: Ranking (information retrieval) & Remote direct memory access. The author has an hindex of 9, co-authored 15 publications receiving 257 citations. Previous affiliations of Knut Magne Risvik include Association for Computing Machinery.
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Patent
Search engine with hierarchically stored indices
TL;DR: In this article, a search engine comprising a crawler which crawls the Web and stores pages found on the WWW in a database is described. But, it does not specify a fall-through algorithm which indicates when the dispatcher should forward the search query to other tiers of search nodes.
Proceedings ArticleDOI
Maguro, a system for indexing and searching over very large text collections
TL;DR: Maguro is a system for efficiently searching very large collections of text content of up to 1 trillion documents at low cost and allows us to scale the index significantly better.
Patent
Hybrid-distribution model for search engine indexes
Knut Magne Risvik,Michael Hopcroft,John G. Bennett,Karthik Kalyanaraman,Trishul Chilimbi,Chad P. Walters,Vishesh M. Parikh,Jan Otto Pedersen +7 more
TL;DR: In this paper, a hybrid-distribution system is used to identify relevant documents based on a search query, where a group of documents is assigned to a particular segment and indexed both by atom and by document to form a reverse index and a forward index.
Patent
Distributed graph database
Knut Magne Risvik,Ming-Chuan Wu,Dushyanth Narayanan,Matthew Renzelmann,Alex Shamis,Miguel Castro,Aleksandar Dragojevic,Chiranjeeb Buragohain,Richendra Khanna,Timothy Tan +9 more
TL;DR: In this article, a distributed graph database that enables scaling and efficient processing is described, which can be used to enable transactional processing of graph data with low latency and low processing overhead.
Patent
Efficient forward ranking in a search engine
Knut Magne Risvik,Michael Hopcroft,John G. Bennett,Karthik Kalyanaraman,Trishul Chilimbi,Chad P. Walters,Vishesh M. Parikh,Jan Otto Pedersen +7 more
TL;DR: In this article, a document and its document identification are received, in addition to static features that are query-independent, and the document is parsed into tokens to form a token stream corresponding to the document.