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arxiv 2407.04471 v1 pith:IH6L57OJ submitted 2024-07-05 cs.GT

Sponsored Question Answering

classification cs.GT
keywords sponsoredanswerquestionplatformadvertisersansweringauctionsmove
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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The potential move from search to question answering (QA) ignited the question of how should the move from sponsored search to sponsored QA look like. We present the first formal analysis of a sponsored QA platform. The platform fuses an organic answer to a question with an ad to produce a so called {\em sponsored answer}. Advertisers then bid on their sponsored answers. Inspired by Generalized Second Price Auctions (GSPs), the QA platform selects the winning advertiser, sets the payment she pays, and shows the user the sponsored answer. We prove an array of results. For example, advertisers are incentivized to be truthful in their bids; i.e., set them to their true value of the sponsored answer. The resultant setting is stable with properties of VCG auctions.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. NaiAD: Initiate Data-Driven Research for LLM Advertising

    cs.LG 2026-05 unverdicted novelty 7.0

    NaiAD is a new dataset and framework for LLM-native advertising that uses decoupled generation and calibrated scoring to identify four semantic strategies for balancing user and commercial utilities.