One post tagged with "search"

Abstract​

Commerce discovery now serves many kinds of seeker. Some are people on web pages and voice lines. Others are scripts, partner systems, feeds and language-model agents acting for someone else. And the buyer is only one of the roles that search; sellers, operators, advertisers, suppliers and auditors search too. The usual response has been a stack per channel or one vendor's suite across all of them, and now one more stack for agents. Even a suite rarely makes explicit the agreement between its components, the meanings they share or the rules on what may be shown. This thesis follows a single request from arrival to answer and argues that every seeker, human or machine, should get the same truth under the same rules, said in its own terms. A discovery system should be neutral about preferences and strict about honesty. It should decide facts, eligibility and disclosure once, deterministically and with provenance. It may let ranking learn and rendering vary, but either may differ by counterpart only through declared, traceable parameters. And it should buy its engines while owning the contract, the meanings and the gates. This is a design argument, not an empirical study. It reports no measurements, and it marks where its arithmetic, its borrowed results and its own unvalidated designs each begin and end.