Linear discriminant model for information retrieval
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Adapting ranking SVM to document retrieval
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
MathFind: a math-aware search engine
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Online Passive-Aggressive Algorithms
The Journal of Machine Learning Research
A support vector method for optimizing average precision
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Confidence-weighted linear classification
Proceedings of the 25th international conference on Machine learning
Introduction to Information Retrieval
Introduction to Information Retrieval
Reexamining the MKM Value Proposition: From Math Web Search to Math Web ReSearch
Calculemus '07 / MKM '07 Proceedings of the 14th symposium on Towards Mechanized Mathematical Assistants: 6th International Conference
An Approach to Mathematical Search Through Query Formulation and Data Normalization
Calculemus '07 / MKM '07 Proceedings of the 14th symposium on Towards Mechanized Mathematical Assistants: 6th International Conference
Augmenting Presentation MathML for Search
Proceedings of the 9th AISC international conference, the 15th Calculemas symposium, and the 7th international MKM conference on Intelligent Computer Mathematics
GIR with language modeling and DFR using Terrier
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
A cascade ranking model for efficient ranked retrieval
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Roles of math search in mathematics
MKM'06 Proceedings of the 5th international conference on Mathematical Knowledge Management
A lattice-based approach for mathematical search using Formal Concept Analysis
Expert Systems with Applications: An International Journal
Methods to access and retrieve mathematical content in ACTIVEMATH
ICMS'06 Proceedings of the Second international conference on Mathematical Software
Terrier information retrieval platform
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
A content based mathematical search engine: whelp
TYPES'04 Proceedings of the 2004 international conference on Types for Proofs and Programs
A search engine for mathematical formulae
AISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Symbolic Computation
Distribution-aware online classifiers
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
WikiMirs: a mathematical information retrieval system for wikipedia
Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries
Retrieving documents with mathematical content
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Structural similarity search for mathematics retrieval
CICM'13 Proceedings of the 2013 international conference on Intelligent Computer Mathematics
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We propose a math-aware search engine that is capable of handling both textual keywords as well as mathematical expressions. Our math feature extraction and representation framework captures the semantics of math expressions via a Finite State Machine model. We adapt the passive aggressive online learning binary classifier as the ranking model. We benchmarked our approach against three classical information retrieval (IR) strategies on math documents crawled from Math Overflow, a well-known online math question answering system. Experimental results show that our proposed approach can perform better than other methods by more than 9%.