scispace - formally typeset
Proceedings ArticleDOI

Towards a theory model for product search

Reads0
Chats0
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.

read more

Content maybe subject to copyright    Report

Citations
More filters
Proceedings ArticleDOI

On Application of Learning to Rank for E-Commerce Search

TL;DR: The practical challenges in applying learning to rank methods to E-Com search are discussed, including the challenges in feature representation, obtaining reliable relevance judgments, and optimally exploiting multiple user feedback signals such as click rates, add-to-cart ratios, order rates, and revenue.
Proceedings ArticleDOI

Turning Clicks into Purchases: Revenue Optimization for Product Search in E-Commerce

TL;DR: A novel learning framework for EC product search called LETORIF (LEarning To Rank with Implicit Feedback) is presented, which utilizes implicit user feedback signals and jointly model the different stages of the shopping journey to optimize for EC sales revenue.
Journal ArticleDOI

The impact of car specifications, prices and incentives for battery electric vehicles in Norway: Choices of heterogeneous consumers ☆

TL;DR: In this article, a Random-Coefficient Discrete Choice Model (referred to as the BLP model) is applied to understand the choices of heterogeneous personal consumers and business buyers.
Journal ArticleDOI

Attentive Long Short-Term Preference Modeling for Personalized Product Search

TL;DR: Zhang et al. as mentioned in this paper proposed an attention mechanism to integrate both long-term and short-term user preferences with the given query for personalized product search, which can capture users' current search intentions more accurately.
Proceedings ArticleDOI

A pareto-efficient algorithm for multiple objective optimization in e-commerce recommendation

TL;DR: This work is among the first to provide a Pareto efficient framework for multi-objective recommendation with theoretical guarantees and can be applied to any other objectives with differentiable formulations and any model with gradients, which shows its strong scalability.
References
More filters
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

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.
Related Papers (5)
Trending Questions (1)