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Proceedings ArticleDOI

Towards a theory model for product search

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TLDR
A theory model for product search based on expected utility theory from economics is proposed, in which the top ranked products are the "best value for money" for a specific user.
Abstract: 
With the growing pervasiveness of the Internet, online search for products and services is constantly increasing. Most product search engines are based on adaptations of theoretical models devised for information retrieval. However, the decision mechanism that underlies the process of buying a product is different than the process of locating relevant documents or objects.We propose a theory model for product search based on expected utility theory from economics. Specifically, we propose a ranking technique in which we rank highest the products that generate the highest surplus, after the purchase. In a sense, the top ranked products are the "best value for money" for a specific user. Our approach builds on research on "demand estimation" from economics and presents a solid theoretical foundation on which further research can build on. We build algorithms that take into account consumer demographics, heterogeneity of consumer preferences, and also account for the varying price of the products. We show how to achieve this without knowing the demographics or purchasing histories of individual consumers but by using aggregate demand data. We evaluate our work, by applying the techniques on hotel search. Our extensive user studies, using more than 15,000 user-provided ranking comparisons, demonstrate an overwhelming preference for the rankings generated by our techniques, compared to a large number of existing strong state-of-the-art baselines.

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Citations
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Detecting Crowdturfing "Add to Favorites" Activities in Online Shopping

TL;DR: Experimental results based on data collected in practical shopping search environment show that the proposed factor graph based model helps detect malicious "Add to Favorites" activities effectively.
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Finding Top-k Preferable Products

TL;DR: In this paper, solutions to find the top-k profitable products and thetop-k popular products efficiently are proposed and an extensive performance study is reported to verify the effectiveness and efficiency of proposed algorithms.
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Why Do People Buy Seemingly Irrelevant Items in Voice Product Search?: On the Relation between Product Relevance and Customer Satisfaction in eCommerce

TL;DR: This work analyzes and characterize an interesting phenomenon where users purchase or engage with search results that are objectively judged irrelevant to their queries, and provides several hypotheses as to the reasons behind it, including users' personalized preferences, the product's popularity, the products' indirect relation with the query, the user's tolerance level, the query intent, and the product price.
Proceedings ArticleDOI

Language-Agnostic Representation Learning for Product Search on E-Commerce Platforms

TL;DR: This work proposes a novel multi-lingual multi-task learning framework, to jointly train product search models on multiple languages, with limited amount of training data from each language, which improves the performance over baseline search models in any given language.
Proceedings ArticleDOI

Utilizing Purchase Intervals in Latent Clusters for Product Recommendation

TL;DR: This work proposes a probabilistic approach to learn latent clusters in the large user-item matrix, and incorporate temporal information into the recommendation process, and demonstrates that this approach significantly improves the conversion rate, precision and recall of state-of-the-art methods.
References
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Journal ArticleDOI

A simplex method for function minimization

TL;DR: A method is described for the minimization of a function of n variables, which depends on the comparison of function values at the (n 41) vertices of a general simplex, followed by the replacement of the vertex with the highest value by another point.
Book

Principles of Economics

TL;DR: In this article, the authors present a survey of the general relations of demand, supply, and value in terms of land, labour, capital, and industrial organization, with an emphasis on the fertility of land.
Journal ArticleDOI

Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition

Sherwin Rosen
- 01 Jan 1974 - 
TL;DR: In this article, a theory of hedonic prices is formulated as a problem in the economics of spatial equilibrium in which the entire set of implicit prices guides both consumer and producer locational decisions in characteristics space.
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