| 摘要 |
Search engine reliance on link-based ranking algorithms has been shown to delay the visibility of fresh content added to the World Wide Web (Web), relative to established content. Fresh content abstracts are randomly inserted into top ranked search results to achieve more even visibility coverage of the Web and improve overall search quality. Searcher behavior is monitored to infer a rank for the fresh content, and for established content. Rank that is so inferred is termed “ResultRank.” ResultRank is used to compliment link-based ranking schemes to improve web visibility and avoid a bias toward established links. Searcher satisfaction is monitored during this process since the quality of fresh content is unknown. A search engine extended enterprise metric (R metric) is introduced and designed to monitor aggregate searcher satisfaction. ResultRank and the R metric are used to complement existing ranking and pricing algorithms for sponsored results as well. |
