Abstract: Personalization of Internet search is effected through the use of ResultRank and searcher selected profile attributes and searcher selected query context attributes. These attributes are also referred to as hats (worn by the searcher). Searcher privacy is maintained by allowing limited use of a searcher's profile by the search engine. Query language interpretation is improved by capture and use of searcher behavior and hat selection, in past search sessions, without storage of individual profile or context information. ResultRank is maintained and adjusted, on a per hat basis such that future, similarly hatted searchers benefit from these past sessions. An average of ResultRank, across searcher selected hats, is utilized for improved SERP ranking Recognition of QLP's is improved by use of the hats. Custom support of public and private language community circles is incorporated. The technique is applied to organic as well as sponsored results.

Abstract: Personalization of Internet search is effected through the use of ResultRank and searcher selected profile attributes and searcher selected query context attributes. These attributes are also referred to as hats (worn by the searcher). Searcher privacy is maintained by allowing limited use of a searcher's profile by the search engine. Query language interpretation is improved by capture and use of searcher behavior and hat selection, in past search sessions, without storage of individual profile or context information. ResultRank is maintained and adjusted, on a per hat basis such that future, similarly hatted searchers benefit from these past sessions. An average of ResultRank, across searcher selected hats, is utilized for improved SERP ranking Recognition of QLP's is improved by use of the hats. Custom support of public and private language community circles is incorporated. The technique is applied to organic as well as sponsored results.

Abstract: Personalization of Internet search is effected through the use of ResultRank and searcher selected profile attributes and searcher selected query context attributes. These attributes are also referred to as hats (worn by the searcher). Searcher privacy is maintained by allowing limited use of a searcher's profile by the search engine. Query language interpretation is improved by capture and use of searcher behavior and hat selection, in past search sessions, without storage of individual profile or context information. ResultRank is maintained and adjusted, on a per hat basis such that future, similarly hatted searchers benefit from these past sessions. An average of ResultRank, across searcher selected hats, is utilized for improved SERP ranking Recognition of QLP's is improved by use of the hats. Custom support of public and private language community circles is incorporated. The technique is applied to organic as well as sponsored results.

Abstract: Personalization of Internet search is effected through the use of ResultRank and searcher selected profile attributes and searcher selected query context attributes. These attributes are also referred to as hats (worn by the searcher). Searcher privacy is maintained by allowing limited use of a searcher's profile by the search engine. Query language interpretation is improved by capture and use of searcher behavior and hat selection, in past search sessions, without storage of individual profile or context information. ResultRank is maintained and adjusted, on a per hat basis such that future, similarly hatted searchers benefit from these past sessions. An average of ResultRank, across searcher selected hats, is utilized for improved SERP ranking Recognition of QLP's is improved by use of the hats. Custom support of public and private language community circles is incorporated. The technique is applied to organic as well as sponsored results.

Abstract: 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.