发明名称 Adjusting results based on a drop point
摘要 Provided are techniques for providing entities. For a keyword, historical data is used to generate a list of entities, wherein a recommendation score is associated with each of the entities. The entities are ranked based on the recommendation score associated with each of the entities. A drop point that is associated with an entity whose recommendation score is low is determined. One or more additional entities are identified for at least one of the entities having a high recommendation score in the list. The one or more additional entities are inserted above the drop point in the list. The list is stored with the keyword.
申请公布号 US8914400(B2) 申请公布日期 2014.12.16
申请号 US201113109820 申请日期 2011.05.17
申请人 International Business Machines Corporation 发明人 Osentoski Dennis D.
分类号 G06F17/30 主分类号 G06F17/30
代理机构 Konrad, Raynes, Davda and Victor LLP 代理人 Davda Janaki K.;Konrad, Raynes, Davda and Victor LLP
主权项 1. A computer-implemented method, with a processor coupled to memory, for providing entities, the method comprising: ranking, by the processor, entities in a first list of entities based on a recommendation score associated with each of the entities in the first list of entities; determining a drop point in the first list of entities by identifying a percentage drop that exceeds a threshold used to determine continued relevancy in the recommendation score of a first entity in the first list of entities and the recommendation score of a second entity in the first list of entities, wherein the drop point identifies the second entity as a point in the first list of entities above which a second list of entities are to be added; selecting an entity in the first list of entities that has a high recommendation score; using the historical data to generate the second list of entities having associated recommendation scores; adjusting a recommendation score associated with each of the entities in the second list of entities to fall between the recommendation score of the first entity and the recommendation score of the second entity; inserting entities from the second list of entities between the first entity and the second entity in the first list of entities based on the adjusted recommendation score associated with each of the entities in the second list of entities; and storing the first list of entities with the keyword.
地址 Armonk NY US