Post by account_disabled on Mar 7, 2024 5:23:12 GMT -5
Was an Attempt to Model the Random Surfer. When Google is Pervasively Monitoring Most Users Across the Web They Can Shift to Directly Measuring Their Behaviors Instead of Using Indirect Signals. Years Ago Bill Slawski Wrote About the Long Click in Which He Opened by Quoting Steven Levys in the Plex How Google Thinks Works and Shapes Our Lives on the Most Basic Level Google Could See How Satisfied Users Were. To Paraphrase Tolstoy Happy Users Were All the Same. The Best Sign of Their Happiness Was the Long Click This Occurred When Someone Went to a Search Result Ideally the Top One and Did Not Return. That Meant Google Has Successfully Fulfilled the Query. Of Course Theres a Patent for That. In Modifying Search Result Ranking Based on Implicit User Feedback.
They State User Reactions to Particular Search Results or So That Results on Which Users Often Click Will Receive a Higher Ranking. The General Assumption Under Such an Approach is That Searching Users Are Often the Best Judges of Relevance So That if They Select a Particular Search Result It is Likely to Be Relevant or at Least More Relevant Than the Presented Alternatives. If You Are a Known Brand You Are More Likely Bahamas Mobile Number List to Get Clicked on Than a Random Unknown Entity in the Same Market. And if You Are Something People Are Specifically Seeking Out They Are Likely to Stay on Your Website for an Extended Period of Time. One Aspect of the Subject Matter Described in This Specification Can Be Embodied in a Computerimplemented Method That.
Includes Determining a Measure of Relevance for a Document Result Within a Context of a Search Query for Which the Document Result is Returned the Determining Being Based on a First Number in Relation to a Second Number the First Number Corresponding to Longer Views of the Document Result and the Second Number Corresponding to at Least Shorter Views of the Document Result and Outputting the Measure of Relevance to a Ranking Engine for Ranking of Search Results Including the Document Result for a New Search Corresponding to the Search Query. The First Number Can Include a Number of the Longer Views of the Document Result the Second Number Can Include a Total Number of Views of the Document Result and the Determining Can Include Dividing the.
They State User Reactions to Particular Search Results or So That Results on Which Users Often Click Will Receive a Higher Ranking. The General Assumption Under Such an Approach is That Searching Users Are Often the Best Judges of Relevance So That if They Select a Particular Search Result It is Likely to Be Relevant or at Least More Relevant Than the Presented Alternatives. If You Are a Known Brand You Are More Likely Bahamas Mobile Number List to Get Clicked on Than a Random Unknown Entity in the Same Market. And if You Are Something People Are Specifically Seeking Out They Are Likely to Stay on Your Website for an Extended Period of Time. One Aspect of the Subject Matter Described in This Specification Can Be Embodied in a Computerimplemented Method That.
Includes Determining a Measure of Relevance for a Document Result Within a Context of a Search Query for Which the Document Result is Returned the Determining Being Based on a First Number in Relation to a Second Number the First Number Corresponding to Longer Views of the Document Result and the Second Number Corresponding to at Least Shorter Views of the Document Result and Outputting the Measure of Relevance to a Ranking Engine for Ranking of Search Results Including the Document Result for a New Search Corresponding to the Search Query. The First Number Can Include a Number of the Longer Views of the Document Result the Second Number Can Include a Total Number of Views of the Document Result and the Determining Can Include Dividing the.