A Product Recommendation System Using Vector Space Model and Association Rule

Mukhopadhyay, Debajyoti; Dutta, Ruma; Kundu, Anirban; Dattagupta, Rana

doi:10.1109/icit.2008.48

Cited by 9 publications

(3 citation statements)

References 4 publications

(9 reference statements)

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“…Non-personalized recommenders that make use of product associations [37] suggest items related to what the current user is viewing or buying, based on rules such as "product X and product Y are frequently bought together" [38,39]. Such rules are usually mined from large datasets and capture the fact that users often buy or view a certain set of items during a single browsing session.…”

Section: Non-personalized Recommendersmentioning

confidence: 99%

When Personalization Is Not an Option: An In-The-Wild Study on Persuasive News Recommendation

et al. 2019

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Aiming at granting wide access to their contents, online information providers often choose not to have registered users, and therefore must give up personalization. In this paper, we focus on the case of non-personalized news recommender systems, and explore persuasive techniques that can, nonetheless, be used to enhance recommendation presentation, with the aim of capturing the user’s interest on suggested items leveraging the way news is perceived. We present the results of two evaluations “in the wild”, carried out in the context of a real online magazine and based on data from 16,134 and 20,933 user sessions, respectively, where we empirically assessed the effectiveness of persuasion strategies which exploit logical fallacies and other techniques. Logical fallacies are inferential schemes known since antiquity that, even if formally invalid, appear as plausible and are therefore psychologically persuasive. In particular, our evaluations allowed us to compare three persuasive scenarios based on the Argumentum Ad Populum fallacy, on a modified version of the Argumentum ad Populum fallacy (Group-Ad Populum), and on no fallacy (neutral condition), respectively. Moreover, we studied the effects of the Accent Fallacy (in its visual variant), and of positive vs. negative Framing.

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Section: Non-personalized Recommendersmentioning

confidence: 99%

When Personalization Is Not an Option: An In-The-Wild Study on Persuasive News Recommendation

et al. 2019

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“…The weight associated to each term represents the degree of importance in the user's profile. Different RS use such representation, like Mukhopadhyay et al [2008] an on line newspaper or Chan et al…”

Section: Vector Representationmentioning

confidence: 99%

Towards User Profile Modelling in Recommender System

Bouneffouf

2013

Preprint

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“…Various methods to sell products by recommendation have been reported, including the up-sell recommendation that proposes a high-ranking homogeneous product to a customer hoping to purchase a specific product [3], and the recommendation method based on customer profile analysis [4] [5]. Since these methods decide the recommended product and give priority to the customer needs without considering the logistics, it is possible to increase the unbalance of part consumption as a result.…”

Section: Introductionmentioning

confidence: 99%

Recommendation method for build to order products considering substitutability of specifications and stock consumption balance of components

Shimoda

Kosugi

Karino³

et al. 2009

2009 IEEE/INFORMS International Conference on Service Operations, Logistics and Informatics

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A build-to-order (BTO) manufacturing system is excellent for enabling short delivery time with product variety; however, it is difficult to control inventory, and an unbalance of parts consumption causes the problems of stock-out or surplus parts. This study focuses on a stock reduction method for BTO products to flow surplus parts out to the market using sale by recommendation. The method is based on the potential of a customer specification to be replaced by an alternative one if the alternative one is close to the initial customer specification. A recommendation method is proposed that decides the recommended product configuration by balancing the part consumption so that the alternative specification of the configuration is close enough to the initial customer specification for substitutability. The method was evaluated by a simulation using real BTO manufacturing data and the result demonstrates that the unbalance of the consumption of parts inventory is improved.

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A Product Recommendation System Using Vector Space Model and Association Rule

Cited by 9 publications

References 4 publications

When Personalization Is Not an Option: An In-The-Wild Study on Persuasive News Recommendation

When Personalization Is Not an Option: An In-The-Wild Study on Persuasive News Recommendation

Towards User Profile Modelling in Recommender System

Recommendation method for build to order products considering substitutability of specifications and stock consumption balance of components

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