Adaptive assistants for customized E-shopping

Menczer, Filippo; Street, W. Nick; Monge, Alvaro

doi:10.1109/mis.2002.1134357

Cited by 34 publications

(15 citation statements)

References 9 publications

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“…This cost can be viewed as being akin to the cost of controlling the information flow (Ariely, 2000) or the cost of planning (Benbasat and Todd, 1996). The cost of using an electronic decision aid may increase due to over-screening (Menczer et al, 2002) or browsing (Smith, 2002).…”

Section: Search Costsmentioning

confidence: 99%

Information search and consideration set formation in a web-based store environment

Punj

Moore

2009

Journal of Business Research

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Section: Search Costsmentioning

confidence: 99%

Information search and consideration set formation in a web-based store environment

Punj

Moore

2009

Journal of Business Research

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“…Most Shopping Bots presently available to consumers still suffer from several deficiencies. Many are biased towards those web shops that pay to be listed (Menczer et al, 2002, Serenko & Hayes, 2010. The most popular CSAs are server-based where users access a webpage via the internet to query web servers free of charge (Serenko & Hayes, 2010).…”

Section: Shopping Bots (Shopbots) or Comparison Shopping Agents (Csa)mentioning

confidence: 99%

“…Ideas (latest trends) and suggestions are other trigger cues. Shopping assistants and recommender systems can customise these cues according to the shopper's preferences (Menczer et al, 2002).…”

Section: Impulse Buyingmentioning

confidence: 99%

Can Online Decision Aids Support Non-Cognitive Web Shopping Approaches?

Vachon¹

2011

IJBM

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This article investigates two research questions concerning web shopping tools. The first asks how online decision aids can support a consumer's non-cognitive decision processes. The second asks how these tools support non-cognitive online shopping for products of different categories. To answer these questions, the author conducted a thorough literature review in the fields of management information systems, e-commerce and consumer behaviour. The results show that e-shoppers may adopt several non-cognitive decision-making approaches. Not one tool is sufficient to support all of these, but web stores should offer a selection of decision aids to satisfy their customers' needs. These tools need to be adapted as well to the categories of products offered in each web store.

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“…A more recent example is IntelliShopper [9]. IntelliShopper observes the user's actions and unobtrusively attempts to learn her preferences and help her with her shopping.…”

Section: Current Technologies and Limitationsmentioning

confidence: 99%

“…In each site visited, the user has to search for the product and find out the price and other related information. This simple approach has several shortcomings [9]. Firstly, there may be hundreds of vendors selling the same or very similar products.…”

Section: Introductionmentioning

confidence: 99%

Shopbots: A Syntactic Present, A Semantic Future

Fasli

2006

IEEE Internet Comput.

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Abstract:The huge growth of e-commerce has had a profound impact on users who can now choose from an ever increasing number of options online. Inevitably, as the number of choices has increased, so has the need for tools to help users organize, manage and utilize information on these for better decision making. To this end, shopbots can help users decide what to buy and enhance their shopping experience. However, despite the high expectations, the immense potential of shopbots has not been fully realized. In this paper we identify the limitations and drawbacks of current shopbots, in particular with regards to the underlying technology for building such systems. We then discuss how these technical limitations can be overcome by making use of the Semantic Web and Web Services which would enable the realization of the true potential of shopbots.

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Adaptive assistants for customized E-shopping

Cited by 34 publications

References 9 publications

Information search and consideration set formation in a web-based store environment

Information search and consideration set formation in a web-based store environment

Can Online Decision Aids Support Non-Cognitive Web Shopping Approaches?

Shopbots: A Syntactic Present, A Semantic Future

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