New Perspectives on Search Click Modeling: Personalized and Whole-page Click Models - Couverture souple

Shen, Si

 
9783659183997: New Perspectives on Search Click Modeling: Personalized and Whole-page Click Models
Couverture souple
ISBN 10 : 3659183997 ISBN 13 : 9783659183997
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

Click modeling aims to interpret the users’ search click data in order to predict their clicking behavior. In this book, we propose two directions of extending existing click model works: (1) expanding query-document relevance score with a user dimension, hence personalized click models capturing user intrinsic preferences by matrix and tensor factorization; and (2) using previous click models as a micro layer for each click in a macro click chain, which includes search click logs for every clickable block on the whole search result page. Either one of our perspectives on search click modeling produces a general framework that could incorporate existing click models and remains valid for possible future developments on position bias depiction. We verify both models through extensive experiments using large-scale data collected from a real search engine, and their improvements over current models are significant. In addition, our models are very capable of handling challenging problems in the literature, including prediction on rare queries and ads click interpretation, which may offer inspirations for future research.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Click modeling aims to interpret the users’ search click data in order to predict their clicking behavior. In this book, we propose two directions of extending existing click model works: (1) expanding query-document relevance score with a user dimension, hence personalized click models capturing user intrinsic preferences by matrix and tensor factorization; and (2) using previous click models as a micro layer for each click in a macro click chain, which includes search click logs for every clickable block on the whole search result page. Either one of our perspectives on search click modeling produces a general framework that could incorporate existing click models and remains valid for possible future developments on position bias depiction. We verify both models through extensive experiments using large-scale data collected from a real search engine, and their improvements over current models are significant. In addition, our models are very capable of handling challenging problems in the literature, including prediction on rare queries and ads click interpretation, which may offer inspirations for future research.

Biographie de l'auteur

Si Shen was an MPhil student in Computer Science and Engineering, supervised by Prof. Qiang Yang at the Hong Kong University of Science and Technology (HKUST). Prior to this, she obtained the degree of Bachelor of Science in Mathematics (Statistics) at HKUST. She was born in Beijing, China.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2012
Langue
anglais
ISBN 10 
3659183997
ISBN 13 
9783659183997
Reliure
Broché
Nombre de pages
76
Coordonnées du fabricant
non disponible
Personne responsable
KreGa Onlinehandel GmbH
4950000000000
info@krega-onlinehandel.de

Birkenweg 31
Brakel
33034
Allemagne