A Hybrid Similarity Concept for Browsing Semi-structured Product Items

Personalization, information filtering and recommendation are key techniques helping online-customers to orientate themselves in e-commerce environments. Similarity is an important underlying concept for the above techniques. Depending on the representation mechanism of information items different s...

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Published inE-Commerce and Web Technologies pp. 21 - 30
Main Authors Zanker, Markus, Gordea, Sergiu, Jessenitschnig, Markus, Schnabl, Michael
Format Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg 2006
SeriesLecture Notes in Computer Science
Subjects
Domain Expert
Hybrid Similarity
Negative Preference
Recommender System
Reference Item
Online AccessGet full text
ISBN9783540377436
3540377433
ISSN0302-9743
1611-3349
DOI10.1007/11823865_3

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Abstract Personalization, information filtering and recommendation are key techniques helping online-customers to orientate themselves in e-commerce environments. Similarity is an important underlying concept for the above techniques. Depending on the representation mechanism of information items different similarity approaches have been established in the fields of information retrieval and case-based reasoning. However, many times product descriptions consist of both, structured attribute value pairs and free-text descriptions. Therefore, we present a hybrid similarity approach from information retrieval and case-based recommendation systems and enrich it with additional knowledge-based concepts like threshold values and explanations. Furthermore, we implemented our hybrid similarity concept in a service component and give evaluation results for the e-tourism domain.
AbstractList Personalization, information filtering and recommendation are key techniques helping online-customers to orientate themselves in e-commerce environments. Similarity is an important underlying concept for the above techniques. Depending on the representation mechanism of information items different similarity approaches have been established in the fields of information retrieval and case-based reasoning. However, many times product descriptions consist of both, structured attribute value pairs and free-text descriptions. Therefore, we present a hybrid similarity approach from information retrieval and case-based recommendation systems and enrich it with additional knowledge-based concepts like threshold values and explanations. Furthermore, we implemented our hybrid similarity concept in a service component and give evaluation results for the e-tourism domain.
Author Gordea, Sergiu
Zanker, Markus
Jessenitschnig, Markus
Schnabl, Michael
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Snippet Personalization, information filtering and recommendation are key techniques helping online-customers to orientate themselves in e-commerce environments....
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SubjectTerms Domain Expert
Hybrid Similarity
Negative Preference
Recommender System
Reference Item
Title A Hybrid Similarity Concept for Browsing Semi-structured Product Items
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