Fuzzy Logic based Pricing combined with Adaptive Search for Reserve Price Optimization in Online Ad Auctions

Abstract

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Reserve price optimization with header bidding and Ad Exchange

“…However, in [14], a reinforcement learning based approach is proposed to dynamically determine the ordering of the ad networks for each ad slot. Several works focus on setting the reserve price in waterfall fashion including PSO-based algorithm [15], Fuzzy-based approach [16], supervised learning [17] and reinforcement learning based algorithms for bidders [18].…”

A Fuzzy Logic Expert System for Pricing Digital Services: The Case of Price Adjustment for a Mobile Service Provider

“…Moreover, faculty performance within technical institutions was modeled by the fuzzy expert system by Jyothi et al [25]. The authors [26] combined fuzzy logic pricing steps with an adaptive search procedure to set reserve prices in an online ad auction. The method outperformed a similar algorithm in experiments involving real ad auction data and proved to aid better decision-making in price reservations.…”

Fuzzy Expert Pricing Systems and Optimization Techniques in Marketing Science

“…Many research applications in marketing have emerged using fuzzy logic as modeling techniques [6]. A prominent field of marketing in this regard is customer behavior and customer satisfaction models [7].…”

“…Expert systems are considered as part of computer science that leverages the symbolic and non-algorithm approach to solve tasks [6,7]. These types of computer programs combine techniques and knowledge that are comparable to human experts [17].…”

“…Knowledge engineer models the knowledge as soon as he has understood the knowledge structure. Understanding and modeling the experience is a complex task, and at the same time, one of the most critical steps in expert system development [6].…”