Beyond Similarity-Based Recommenders: Preference Relaxation and Product Awareness

被引：0

作者：

Dabrowski, Maciej ^{[1
]}

Acton, Thomas ^{[2
]}

机构：

[1] Natl Univ Ireland Galway, Digital Enterprise Res Inst Galway, Galway, Ireland

[2] Natl Univ Ireland, J E Cairnes Sch Business & Econom, Business Informat Syst Grp, Galway, Ireland

来源：

E-COMMERCE AND WEB TECHNOLOGIES | 2011年 / 85卷

关键词：

Recommender Systems; Preference Relaxation; eCommerce; Decision Making; E-COMMERCE; SYSTEMS; SUPPORT; SEARCH;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Product awareness is an important aspect of online shopping decisions. Contemporary product catalogs aim at improving customers' decisions through products search and filtration. Form-based tools that are offered filter out products that do not fully match stated requirements, leading to lower product awareness and thus affecting overall decision quality. This research proposes preference relaxation as an alternative to existing similarity-based product recommendation agents used in such context. Building on previous work, we discuss two variants of a novel method for preference relaxation, so called Soft-Boundary Preference Relaxation with Addition and with Replacement, and evaluate their effect on product awareness in a user experiment with 87 participants. Our results indicate that the preference relaxation methods, in particular the Soft-Boundary Preference Relaxation with Replacement, can be successfully used to improve customers' product awareness in online catalogues.

引用

页码：296 / +

页数：3

共 25 条

[1] Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions [J].

Adomavicius, G ;

Tuzhilin, A .

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2005, 17 (06) :734-749

[2]

[Anonymous], 2001, P 4 INT C CAS BAS RE

[3]

[Anonymous], 1993, Decisions with Multiple Objectives

[4]

[Anonymous], 2010, 11 INT C EL COMM WEB

[5]

BRIDGE D, 2007, P 2007 ACM C REC SYS

[6] Interactive critiquing for catalog navigation in E-commerce [J].

Burke, R .

ARTIFICIAL INTELLIGENCE REVIEW, 2002, 18 (3-4) :245-267

[7]

Cao Huanhuan., 2009, Proceedings of the 18th ACM conference on Information and knowledge management, P1257, DOI DOI 10.1145/1645953.1646112

[8]

Chaudhuri S., 1990, Sixth International Conference on Data Engineering (Cat. No.90CH2840-7), P138, DOI 10.1109/ICDE.1990.113463

[9] Effective profiling of consumer information retrieval needs: a unified framework and empirical comparison [J].

Fan, WG ;

Gordon, MD ;

Pathak, P .

DECISION SUPPORT SYSTEMS, 2005, 40 (02) :213-233

[10]

Hagen P. R., 2000, MUST SEARCH STINK

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