TableSeer: automatic table metadata extraction and searching in digital libraries
Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries
Introduction to Information Retrieval
Introduction to Information Retrieval
Proceedings of the Second ACM International Conference on Web Search and Data Mining
Sourcerer: An internet-scale software repository
SUITE '09 Proceedings of the 2009 ICSE Workshop on Search-Driven Development-Users, Infrastructure, Tools and Evaluation
SUITE '09 Proceedings of the 2009 ICSE Workshop on Search-Driven Development-Users, Infrastructure, Tools and Evaluation
Automatic extraction of data points and text blocks from 2-dimensional plots in digital documents
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Generating synopses for document-element search
Proceedings of the 18th ACM conference on Information and knowledge management
Searching API usage examples in code repositories with sourcerer API search
Proceedings of 2010 ICSE Workshop on Search-driven Development: Users, Infrastructure, Tools and Evaluation
Behavior model based component search: an initial assessment
Proceedings of 2010 ICSE Workshop on Search-driven Development: Users, Infrastructure, Tools and Evaluation
Proceedings of the 12th ACM/IEEE-CS joint conference on Digital Libraries
Improving algorithm search using the algorithm co-citation network
Proceedings of the 12th ACM/IEEE-CS joint conference on Digital Libraries
A classification scheme for algorithm citation function in scholarly works
Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries
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Efficient algorithms are extremely important and can be crucial for certain software projects. Even though many source code search engines have been proposed in the literature to help software developers find source code related to their needs, to our knowledge there has been no effort to develop systems that keep abreast of the latest algorithmic developments. In this paper, we describe our initial effort towards developing such an algorithm search engine. The proposed system extracts and indexes algorithms discussed in academic literature and their associated metadata. Users can search the index through a free text query interface. The source code of proposed system, being developed as a part of a larger open source toolkit, SeerSuite, will be released in due course. We also provide directions for further research and improvements of the current system.