Dhanurjay A. S. Patil - Belmont CA, US Timothy M. Murphy - San Mateo CA, US Hugo Olliphant - San Francisco CA, US Brian Andrew Phillips - San Francisco CA, US George Lee - Mountain View CA, US Daniel L Pritchett - San Jose CA, US
Assignee:
eBay Inc. - San Jose CA
International Classification:
G06F 17/00
US Classification:
706 45
Abstract:
In one embodiment, a system and method is illustrated as including generating a model using at least one of a global conduct score and attribute data. A range of numeric values may be retrieved, based upon which, a better term is granted in a transaction than would otherwise be granted in the transaction. A comparison may be made between the model and the range of numeric values. Further, a better term may be granted in the transaction where the model falls within the range of numeric values. The global conduct score is computed using an approach including at least one of a feed score approach, and a composite score approach. The attribute data includes page view data, click through data, account usage data, and good purchased data. The model includes a global conduct score model, a weighting model, an AI based model, and an associated network based model.
Global Conduct Score And Attribute Data Utilization Pertaining To Commercial Transactions And Page Views
Dhanurjay A.S. Patil - Belmont CA, US Timothy M. Murphy - San Mateo CA, US Hugo Olliphant - San Francisco CA, US Brian Andrew Phillips - San Francisco CA, US George Lee - Mountain View CA, US Daniel L. Pritchett - San Jose CA, US
International Classification:
G06F 15/173
US Classification:
709224
Abstract:
In one embodiment, a system and method is illustrated as including generating a model using at least one of a global conduct score and attribute data. A range of numeric values may be retrieved, based upon which, a better term is granted in a transaction than would otherwise be granted in the transaction. A comparison may be made between the model and the range of numeric values. Further, a better term may be granted in the transaction where the model falls within the range of numeric values. The global conduct score is computed using an approach including at least one of a feed score approach, and a composite score approach. The attribute data includes page view data, click through data, account usage data, and good purchased data. The model includes a global conduct score model, a weighting model, an AI based model, and an associated network based model.
Garner Swann - Redwood City CA, US Parthasarathy Sundaram - Bellevue WA, US Jeremy Paul Todd - Los Gatos CA, US Rajat Shroff - Redwood Shores CA, US Alan Todd Kaiser - San Jose CA, US Nicholas Briggs - Sunnyvale CA, US David Falk - Castro Valley CA, US Daniel L. Pritchett - San Jose CA, US
Assignee:
REARDEN COMMERCE, INC. - Foster City CA
International Classification:
G06F 17/30
US Classification:
707737, 707E17014
Abstract:
A system and method for searching travel services. A server computer receives a travel request from a client device operated by a user. The server computer identifies travel options according to the travel request. The server computer classifies the travel options into predefined groups, the classifying based on at least one of past transactions, input from domain experts, input from semantic analysts, analytics data, user preferences, and company policies. The server computer presents the options via presentation of the predefined groups.
- SAN FRANCISCO CA, US Parthasarathy Sundaram - Sunnyvale CA, US Jeremy Paul Todd - Los Gatos CA, US Rajat Shroff - Redwood Shores CA, US Alan Todd Kaiser - San Jose CA, US Nicholas Briggs - Sunnyvale CA, US David Falk - Northbrook IL, US Daniel L. Pritchett - San Jose CA, US
International Classification:
G06Q 10/02 G06F 17/30 G06Q 30/06
Abstract:
A system and method for searching travel services. A server computer receives a travel request from a client device operated by a user. The server computer identifies travel options according to the travel request. The server computer classifies the travel options into predefined groups, the classifying based on at least one of past transactions, input from domain experts, input from semantic analysts, analytics data, user preferences, and company policies. The server computer presents the options via presentation of the predefined groups.
ttlement was greeted with trepidation by some Owens Valley locals. Daniel Pritchett, a member of the Owens Valley Committee, a local group that has sued the DWP over issues related to the Owens River, said it remains to be seen whether the utilitys latest dust-control efforts are enacted. He said