Leveraging Latent Concepts for Retrieving Relevant Ads for Short Text

Autor:	Ankit Patil, Kushal S. Dave, Vasudeva Varma
Rok vydání:	2013
Předmět:	Information retrieval Conceptual approach Computer science Microblogging InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL Conceptual model (computer science) Vocabulary mismatch Conceptual space Social media Bridge (nautical)
Zdroj:	Lecture Notes in Computer Science ISBN: 9783642369728 ECIR
DOI:	10.1007/978-3-642-36973-5_83
Popis:	The microblogging platforms are increasingly becoming a lucrative prospect for advertisers to attract the customers. The challenge with advertising on such platforms is that there is very little content to retrieve relevant ads. As the microblogging content is short and noisy and the ads are short too, there is a high amount of lexical/vocabulary mismatch between the micropost and the ads. To bridge this vocabulary mismatch, we propose a conceptual approach that transforms the content into a conceptual space that represent the latent concepts of the content. We empirically show that the conceptual model performs better than various state-of-the-art techniques the performance gain obtained are substantial and significant.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c04585a3838f60abd5042a2409eeef3b https://doi.org/10.1007/978-3-642-36973-5_83 Zobrazit plný text záznamu