FIELD: physics.
SUBSTANCE: group of inventions relates to the ranking of elements, specifically to methods and systems for determining ranked positions of non-native elements using a ranking system. To this end, each element is associated with a visual position on the SERP such that the native elements and the non-native element are structured into visual 2D structure having rows, each row having two horizontally structured elements. Method includes training a ranked system for predicting a predicted utility estimate. Method also includes determining an optimum ranked position for a non-native element using a ranking system in a use phase.
EFFECT: technical result is the development of methods and systems for determining ranked positions of non-native elements using a ranking system, as well as methods and systems which enable to train a ranking system for prediction of utility estimates of non-native elements for different ranked positions and use predicted utility estimates for selecting location of non-native elements among native elements on said SERP.
37 cl, 7 dwg
Title | Year | Author | Number |
---|---|---|---|
METHOD AND SYSTEM FOR DETERMINATION OF RANKED POSITIONS OF ELEMENTS BY RANKING SYSTEM | 2020 |
|
RU2781621C2 |
METHOD (OPTIONS) AND SERVER OF SEARCH RESULTS RANKING BASED ON UTILITY PARAMETER | 2015 |
|
RU2632138C2 |
METHOD AND SYSTEM OF RANKING OF A VARIETY OF DOCUMENTS ON THE PAGE OF SEARCH RESULTS | 2017 |
|
RU2677380C2 |
SYSTEM AND METHOD OF SEARCH RESULTS RATING | 2015 |
|
RU2632148C2 |
METHOD AND SYSTEM OF SELECTION FOR RANKING SEARCH RESULTS USING MACHINE LEARNING ALGORITHM | 2018 |
|
RU2731658C2 |
METHOD AND SERVER FOR GENERATING META-ATTRIBUTE FOR RANGING DOCUMENTS | 2018 |
|
RU2721159C1 |
METHOD AND SYSTEM FOR CREATING ANNOTATION VECTORS FOR DOCUMENT | 2017 |
|
RU2720074C2 |
METHOD OF GENERATING CUSTOMISED RANKING MODEL, METHOD OF GENERATING RANKING MODEL, ELECTRONIC DEVICE AND SERVER | 2014 |
|
RU2580516C2 |
METHOD AND SYSTEM FOR GENERATING FEATURE FOR RANGING DOCUMENT | 2018 |
|
RU2733481C2 |
SYSTEM AND METHOD FOR FORMATION OF TRAINING SET FOR MACHINE LEARNING ALGORITHM | 2020 |
|
RU2790033C2 |
Authors
Dates
2019-05-29—Published
2017-07-25—Filed