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An approach to automated user interest matching in online classified advertising systems

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2009) 5754 LNCS 665-673
DOI: 10.1007/978-3-642-04070-2_72
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Abstract

The paper presents an approach to automated user interest matching in online classified advertising systems which is based on the analysis of the structure and semantics of classified ads. A classified advertisement structure and classified ad types along with the examples are described in the paper. © 2009 Springer Berlin Heidelberg.

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Gribova, V., & Kachanov, P. (2009). An approach to automated user interest matching in online classified advertising systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5754 LNCS, pp. 665–673). https://doi.org/10.1007/978-3-642-04070-2_72

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