A paper from Google Research titled “Delphi Costs and Benefits in Web Search: A Utilitarian and Historical Analysis” delves into these complex issues. To quote the authors, "We call these costs and benefits Delphic, in contrast to explicit financial costs and benefits... Our main argument is that users' satisfaction with a search engine depends primarily on their experience of Delphic costs and benefits, or in other words, on their utility.
Consumer utility is correlated with classical measures singapore business fax list search engine quality, such as rank, precision, recall, etc., but is not exclusively determined by them...". The authors point out a number of mixed search costs: Access costs: Suitable equipment and internet bandwidth Cognitive costs: formulating and reformulating queries, parsing search results pages, selecting relevant results, etc.
Interaction cost: typing, scrolling, viewing, clicking, listening, etc. Waiting cost: the time cost of obtaining and processing results and completing tasks. How can we minimize the cost of accessing information online by standardizing data formats and facilitating fast and scalable information retrieval through the use of schema markup? Time/Speed This leads to the next metric: time to information (TTI).