摘要:
Various embodiments include systems and methods for search result ranking using machine learning. A goal model can be created using machine learning. Responsive to a search query, a plurality of data factors can be inputted into the goal model to create a model output. Search results can be presented to a user based on the model output.
摘要:
A system and method of click modeling are disclosed. A ranking algorithm is modified using a click model. The click model makes inferences based on user click data. The user click data includes indications of user intent to transact a shopping action for an item for sale. Item listings are ranked for a search results page using the ranking algorithm in response to receiving a search query. Each item listing comprises an item for sale on an e-commerce site. The user click data can also include user clicks of item listings in a search results page. The shopping action can include bidding on an item for sale or purchasing an item for sale.
摘要:
A method and a system generate a reputation value for a user in a network-based community. A processor-implemented transaction data collector module collects transaction data of users of a network-based community. A processor-implemented transaction graph generator module generates a transaction graph based on the collected transaction data. The transaction graph has a transaction relationship between two users, and a weight corresponding to the transaction relationship. The weight is representative of a mutually reinforcing relationship between two users. A processor-implemented reputation generator module generates a reputation value for a user from the transaction graph.
摘要:
Various embodiments include systems and methods for search result ranking using machine learning. A goal model can be created using machine learning. Responsive to a search query, a plurality of data factors can be inputted into the goal model to create a model output. Search results can be presented to a user based on the model output.
摘要:
A system and method of click modeling are disclosed. A ranking algorithm is modified using a click model. The click model makes inferences based on user click data. The user click data includes indications of user intent to transact a shopping action for an item for sale. Item listings are ranked for a search results page using the ranking algorithm in response to receiving a search query. Each item listing comprises an item for sale on an e-commerce site. The user click data can also include user clicks of item listings in a search results page. The shopping action can include bidding on an item for sale or purchasing an item for sale.
摘要:
Systems and methods are disclosed for performing man-machine interaction with a user by capturing audible signals and video signals from an environment; detecting a communication context from the audio and video signals; looking up the context in an etiquette database; communicating without disrupting the user and if not possible, determining an appropriate time and fashion to interrupt the user; and communicating with the user at the appropriate time in the appropriate fashion.