On the Role of Diversity in Conversational Recommender Systems

McGinty, Lorraine; Smyth, Barry

doi:10.1007/3-540-45006-8_23

Cited by 100 publications

(79 citation statements)

References 6 publications

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“…This study concentrates on three common performance indicators: decision quality, decision effort and product awareness. Decision quality and effort are common indicators of objective decision performance in the information systems literature (Acton, 2007;Häubl & Trifts, 2000;Parra & Ruiz, 2009), and product awareness is a widely used indicator of recommender method performance that facilitates higher quality decisions (Chen & Pu, 2007;McGinty & Smyth, 2003;Smyth & McClave, 2001). …”

Section: Hypothesesmentioning

confidence: 99%

“…Numerous studies (Bridge & Ricci, 2007;Viappiani, et al, 2008) use recommendations to improve consumer decision-making (Bridge & Ricci, 2007;McGinty & Smyth, 2003;Viappiani, et al, 2008). Nevertheless, it is crucial (Gretzel & Fesenmaier, 2006;Smyth & McClave, 2001) that the product suggestions provided to consumers are relevant (similar to their stated preferences) yet diverse (so that they can discover new opportunities and adjust their preference model) According to the Look-ahead principle (Viappiani, et al, 2008), "suggestions should not be optimal under the current preference model, but should provide high likelihood of optimality when an additional preference is stated".…”

Section: Introductionmentioning

confidence: 99%

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Intelligent product search with soft-boundary preference relaxation

Dąbrowski

Acton

Heijden

2012

Expert Systems with Applications

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Abstract. This paper proposes a novel method for preference relaxation in online product search, which enables consumers to make quality choices without suffering from the commonly experienced information overload. In online shopping scenarios that involve multi-attribute choice tasks, it can be difficult for consumers to process the vast amounts of information available and to make satisfactory buying decisions. In such situations consumers are likely to eliminate potentially good choices early on, using hard-constraint filtering tools. Our approach uses edge sets to identify the alternatives on the soft boundary and the principle of alternative domination to suppress the alternatives on this boundary that are irrelevant. We demonstrate how our approach outperforms existing methods for product search in a set of simulations using two sets of 2650 car advertisements and 1813 digital cameras gathered from a popular online store.

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Section: Hypothesesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Intelligent product search with soft-boundary preference relaxation

Dąbrowski

Acton

Heijden

2012

Expert Systems with Applications

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“…A restaurant domain was used to demonstrate the value of this: recommending different types of restaurants in response to a query made the system more useful for the user. In a related area, [McGinty and Smyth 2003] examined the role of diversity in CBR-based conversational recommender systems.…”

Section: Cbr-d Algorithmmentioning

confidence: 99%

A Knowledge-Light Approach to Regression Using Case-Based Reasoning

McDonnell

Cunningham

2006

Lecture Notes in Computer Science

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“…The main topics in the area are e.g., query relaxation and query management, similarity measures, and comparison-or critique-based interactive critiquing, and hybrid systems (McGinty and Smyth, 2003;McSherry, 2004;Burke, 2002;Ricci et al, 2003). With regard to the user interface, recent work in the area also shows that rich multimedia presentations (Jiang et al, 2005) or personalized, conversational user interaction (C. A.…”

Section: Related Workmentioning

confidence: 99%

Knowledge-Based Sales Advisory: Experiences and Future Directions

Jannach

Zanker

2006

Proceedings of the International Conference on E-Business

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Abstract:This paper summarizes our experiences gained from several industrial advisory applications that were developed with the knowledge-based ADVISOR SUITE framework over the last years and gives an outlook on future extensions of the presented system. In the 'experiences' section of the paper, we first address aspects related to the development of such applications, such as knowledge engineering, software maintenance, or testing. In addition, we describe the main requirements for such an advisory application to be perceived as an intelligent, value-adding service by the end users and finally summarize the results of an industrial study on how advisory applications are able to influence the buying behavior of online shoppers. The second part of the paper discusses current and future extensions of our system. The main lines of research addressed in this section are 'Extended debugging support', 'Automated extraction of product data from web sources', 'Log mining and advanced data analysis', and 'Community-adapted advisory systems'.

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On the Role of Diversity in Conversational Recommender Systems

Cited by 100 publications

References 6 publications

Intelligent product search with soft-boundary preference relaxation

Intelligent product search with soft-boundary preference relaxation

A Knowledge-Light Approach to Regression Using Case-Based Reasoning

Knowledge-Based Sales Advisory: Experiences and Future Directions

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