An online system provides options for selection by a user. The online system receives a query entered on a client device. The online system queries an item database to retrieve a set of items related to the query and assigns each item to a product category in a predefined taxonomy that maps items to product categories. The online system inputs each item into a prediction model trained to predict a probability that an item is available at a warehouse location. The online system determines that a first product category has low availability based on predicted probabilities for items in the first product category. Responsive to determining that a first product category has low availability, the online system generates a generic item for the first product category and sends a list of items including the generic item to the client device for display responsive to the query.

The present invention relates to a method for putting service providers in live contact with those in need of service providers by a system of live online bids with awards going to a limited number of bidders.

A query handling system includes a product information database and a linguistic pipeline module. The pipeline module receives a query, determines that the query includes a first query term associated with a first product, wherein the first product is identified by a first product code, substitutes the first product code for the first query term in a first intermediate query, and searches the product information database based upon the first product code.

Various computer-implemented services are disclosed for assisting users in selecting items from an electronic catalog, and for selecting merchants with which to conduct transactions. One such service enables users to share information about their respective purchases with other users. Another service enables users to share information regarding the merchants with which they have conducted transactions.

In various example embodiments, a system and method for determining a spam publication using a spam detection system are presented. The spam detection system receives, from a device, an image of an item and an item attribute for the item. Additionally, the spam detection system extracts an image attribute based on the received image, and compares the item attribute and the image attribute. Moreover, the spam detection system calculates a confidence score based on the comparison. Furthermore, the spam detection system determines that the item attribute is incorrect based on the confidence score transgressing a predetermined threshold. In response to the determination that the item attribute is incorrect, the spam detection system causes presentation, on a display of the device, of a notification.

A method and system for analyzing user behavior as users search for items within an electronic marketplace is provided. A query is submitted by a user of the electronic marketplace, the query is processed to identify a series of actions or behaviors performed by the user in relation to the query and fingerprint information for the query is determined based at least in part on analyzing the actions. In one embodiment, the electronic marketplace modifies a user experience for the user based on the fingerprint information. An interactive network region comprising search results related to a query issued by a user is generated, based on fingerprint information. Various categories of items related to a query issued by the user are identified based on fingerprint information and the search results are organized based on categories.

Disclosed is an updated browser having an API for communicating payment data between the browser and a site or an application and a software module for processing payments of purchases and to reduce the number of user interactions needed for a purchasing process. The method includes receiving, via the user interface, an interaction by a user with an object associated with a site, the interaction indicating a user intent to make a purchase, receiving, based on the interaction and via an application programming interface, a request from the site or application for payment data in connection with the purchase and transmitting, to the site or the application and via the application programming interface, the payment data, wherein the payment data confirms the purchase or can be used to process or deliver a product associated with the purchase.

A delivery apparatus according to the present application includes an acquisition unit, a generation unit, and a delivery unit. The acquisition unit acquires user information that represents information relating to a user. The generation unit generates, using the user information acquired by the acquisition unit, loan information that represents information including loan terms for the user. The delivery unit delivers the loan information generated by the generation unit to a terminal apparatus that is used by the user by using, as a trigger, display of predetermined service content at the terminal apparatus.

An adaptive collaborative platform applies various machine learning techniques to correlate potential purchasers with high-value articles of property that may be of interest. Attributes, characteristics, preferences, and the like of a potential purchaser are scored against attributes and features of articles. The platform learns from interaction by the agents and the potential purchasers and adapts to become more attuned to the desires and lifestyle of purchasers and to gain more and more pertinent information from the listing agents regarding high-value articles, so as to ultimately to arrive at a better match between a high value article for sale and a likely purchaser.

Systems and methods for guided vehicle matching are disclosed. In order to generate vehicle recommendations for a user of an electronic vehicle listing service, a plurality of vehicle-related lifestyle options are presented to the user, and a user selection received. Additional data regarding the user's vehicle preferences, requirements, or usage may be obtained. Based upon such information, a set of example vehicles is generated and presented to the user. Each example vehicle has characteristics representing a plurality of other vehicles. Based upon user ratings or selections of at least some of the example vehicles, a plurality of vehicle recommendations for specific available vehicles are generated and presented to the user. In some embodiments, further user interaction with such recommendations is used to refine the vehicle recommendations and identify additional vehicle recommendations.