Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for using adversarial learning for fine-grained image search. An image search system receives a search query that includes an input image depicting an object. The search system generates, using a generator, a vector representation of the object in a normalized view. The generator was trained based on a set of reference images of known objects in multiple views, and feedback data received from an evaluator that indicates performance of the generator at generating vector representations of the known objects in the normalized view. The evaluator including a discriminator sub-module, a normalizer sub-module, and a semantic embedding sub-module that generate the feedback data. The image search system identifies, based on the vector representation of the object, a set of other images depicting the object, and returns at least one of the other images in response to the search query.

Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for an improved database management system that provides database transactions on a non-transactional database. The database management system executes garbage collection on data stored in a database to remove data values written to the database as part of uncommitted transactions. Each uncommitted transaction is associated with a respective transaction identifier that is not included in a list of committed transaction identifiers. The list of committed transaction identifiers lists, in sequential order, transaction identifiers for committed transaction. After removing each data value written to the database as part of an uncommitted transaction, the database management system modifies the list of committed transaction identifiers to include the transaction identifier for the uncommitted transaction.

Abstract: A system and method for a trusted fulfillment agent network system is described. A network of trusted fulfillment agents is generated for a seller in an online marketplace. A transaction between a buyer and the seller corresponding to a listing of the seller in the online marketplace is accessed. A request is generated to the network of trusted fulfillment agents of the seller to fulfill a shipment of an item from the listing to the buyer on behalf of the seller.

Abstract: A method of training a machine learning model to determine an item margin is provided. The method includes monitoring a first value for a first item having attributes and monitoring a first value for a second type of item having attributes where an attribute of the first attributes is the same as an attribute of the second attributes. The method also includes determining a first margin based on the first values. The first attributes, the second attributes, and the first margin are input as training data for the machine learning model where the machine learning model is trained with the training data. The monitoring operations for the first item and the second item are repeated to obtain a second value for the first and second items. Furthermore, the trained machine learning model is applied to the second values to determine a second margin.

Abstract: A machine may be configured to perform image evaluation of images depicting items for sale and to provide recommendations for improving the images depicting the items to increase the sales of the items depicted in the images. For example, the machine accesses a result of a user behavior analysis. The machine receives an image of an item from a user device. The machine per forms an image evaluation of the received image based on an analysis of the received image and the result of the user behavior analysis. The performing of the image evaluation may include determining a likelihood of a user engaging in a desired user behavior in relation to the received image. Then, the machine generates, based on the evaluation of the received image, an output that references the received image and indicates the likelihood of a user engaging in the desired behavior.

Abstract: A method and a system for making contextual recommendations to users on a network-based system. For example, activity associated with a user interacting with a network-based system is tracked. Based, at least in part, on the tracked user activity on the network-based system, a recommendation relationship type is selected. The recommendation relationship type can be either a substitute relationship type or a complement relationship type. A recommended object can be selected based at least in part on the recommendation relationship type and a first object accessed by the user interacting with the network-based system. A recommendation can be generated for the recommended object for presentation to the user interacting with the network-based system.

Abstract: Systems and methods for multi-signal fault analysis are described. The system receives signal message information, over a network, from a collection device comprised of a plurality of mobile devices including a first mobile device and a second mobile device that are associated with a first user. The first signal message information includes a first maintenance message including characterization information that was received by the first mobile device from a component that includes a sensor that operates to sense a first part that is assembled into a vehicle. The second signal message information includes signal information that was received by the second mobile device including an audio signal that a microphone in the second mobile device sensed. The system analyzes the multi-signal information to diagnose a problem and communicate a message to the first user with a diagnosis of the problem.

Abstract: Systems and methods are provided for accessing a plurality of inventory item listings accessible over a network, wherein each of the plurality of inventory item listings includes one or more text strings, and creating inventory word vectors for at least some of the text strings of the plurality of inventory item listings. The systems and methods further provide for receiving a user input including an input word, wherein the user input is input by a user to access a primary media content, creating an input word vector for the input word, calculating cosine similarities between the input word vector and the inventory word vectors, and analyzing the calculated cosine similarities to determine one or more keywords from the one or more text strings, wherein the one or more keywords are from the text strings having inventory word vectors with the highest cosine similarities to the input word vector.

Abstract: A networked system receives, from a device of a user, a selection of an item from a list for monitoring. The network system also receives, from the device of the user, a condition that triggers the reporting of news for the selected item. The network system monitors for news for the selected item. A determination is made as to whether the condition that triggers the reporting of the news is satisfied. In response to determining that the condition that triggers the reporting of the news is satisfied, the networked system transmits a notification to the user indicating the news for the selected item.

Abstract: Automated determination of web page rendering performance techniques and systems are described. In one example, a web page including multiple user-interactive elements that can be selected or navigated via user input is received. A frame rendering system is employed to automatically identify the user-interactive elements and generate scripts to simulate user input at the user-interactive elements. The generated scripts are then used to simulate user input at the user-interactive elements. The scripts may be generated to simulate user interaction via a variety of different device types, and under a variety of different network conditions. During the simulation, a rendering performance score for the web page is generated by monitoring rendering performance relative to a threshold rendering rate.

Abstract: A system comprising a computer-readable storage medium storing at least one program and a computer-implemented method for providing personalized content sharing service is presented. Consistent with some embodiments, the method may include receiving a request to share a content item with a member of the social network. The method may further include determining an interest of the member of the social network based on social data about the member of the social network. A customized posting to share the content item with the member of the social network is then generated using the interest of the user.

Abstract: An apparatus and method for real-time audio processing employs a gaze detection sensor to detect a direction of a user's gaze and output a gaze signal corresponding to the detected direction of the user's gaze. A digital signal processing unit responds to a plurality of signals corresponding to a plurality of sounds received at the apparatus, and the determined direction of gaze to identify a signal of interest from the plurality of signals using the gaze signal. The signal of interest is processed for output to the user. In embodiments, a microphone array provides the plurality of signals. An imaging sensor may work with either the microphone array or the gaze detection sensor to identify the signal of interest.

Abstract: In accordance with techniques for context-driven generation of diverse questions, a machine learning model receives a first target question, a second target question, and a context. Based on the context and one or more words of the first target question, a first decoder of the machine learning model outputs a first representation of candidate words to follow the one or more words of the first target question. Based on the context and one or more words of the second target question, a second decoder of the machine learning model outputs a second representation of candidate words to follow the one or more words of the second target question. The machine learning model is fine-tuned to generate diverse questions for a given context based on a diversity loss that captures a degree of variance between the first representation and the second representation.

Abstract: Social network initiated listings can be implemented by using keyword extraction of a social network post containing a sell code. The extracted keywords can be categorized using a machine based categorization system. The listing user account of the post creator can be identified using active session analysis. A listing is created using the listing user account. A new post that contains a URL to the listing is then programmatically published on the social network.

Abstract: An application configured to be dynamically and/or incrementally updated to tailor capabilities of the application to areas of interest of a user is disclosed. The application receives one or more task-specific modules for enhancing a task-specific capability of the application. The one or more task-specific modules are identified from among a plurality of task-specific modules, based on user data indicative of interaction of the user with an electronic marketplace. The one or more task-specific modules are used to update a general module configured to implement the task-specific capability of the application to create a customized application. The customized application is used to perform a task-specific operation based on an input provided by the user, and a result of the task-specific operation to be presented to the user.

Abstract: A search engine is provided that generates search results proportional to a natural distribution. Search results identified and ranked by the search engine for a search query are redistributed so that a fixed number of top ranked search results include search result attributes proportional to the natural distribution, as determined from interaction tracking of prior search results. A natural distribution index mapping prior search queries to search result attributes and a proportional representation of interactions with the search result attributes is generated. The natural distribution is determined from the proportional representation of interactions. The search engine redistributes the fixed number of top ranked search results by minimizing a gap between the ranked set of search results for the search query and the natural distribution.

Abstract: A rack mountable bracket is described. The bracket is mountable to a rack configured for mounting equipment. The rack is also configured according to a rack standard (e.g., EIA-310) that specifies how rails of the rack are disposed, one rail to another, and how a strip of holes disposed along a length of each rail is spaced, one hole to another. In one or more implementations, the bracket includes a pair of mounting edges for mounting the bracket to a mounting pair of the rails using hole strips of the mounting pair of rails. The bracket also includes an equipment mounting rail having a hole strip disposed along a length of the rail with holes spaced according to the rack standard. The equipment mounting rail is disposed between the mounting edges, such that when the bracket is mounted to the mounting pair of rails the bracket is horizontally oriented.

Abstract: Aspects of the present disclosure relate to a multi-dimensional commerce platform that may be utilized for the communication of data. Aspects of the multi-dimensional commerce platform may include various functional components to facilitate a system to receive inventory data at a first server associated with the multi-dimensional commerce platform, provide a second server associated with a third-party (e.g., a third party seller/distributor) access to the inventory data, alter or modify the inventory data based on attributes of the second server, and cause display of a presentation of the modified inventory data at a client device.

Abstract: Systems and methods for multi-signal fault analysis are described. The system receives signal message information, over a network, from a collection device comprised of a plurality of mobile devices including a first mobile device and a second mobile device that are associated with a first user. The first signal message information includes a first maintenance message including characterization information that was received by the first mobile device from a component that includes a sensor that operates to sense a first part that is assembled into a vehicle. The second signal message information includes signal information that was received by the second mobile device including an audio signal that a microphone in the second mobile device sensed. The system analyzes the multi-signal information to diagnose a problem and communicate a message to the first user with a diagnosis of the problem.

Abstract: In various example embodiments, a system and method for consistent schema-less and scalable database storage are described herein. A data object is generated. The data object corresponds to a column of a table from a database. The data object includes information regarding an order that is placed over a network publication system. The data object is stored in the column of the table in the database. A request to access the data object is received from a device of a first user. The data object is transmitted to the device of the first user. The data is kept coherent during concurrent updates by using optimistic locks. The data is kept backward and forward compatible utilizing intermediate data structures common to both versions of the software. The data is kept searchable by using lookup indexes. The storage system is kept scalable by sharing data across many databases.

Abstract: Example methods and systems are directed to a managed inventory. A database may store information regarding items owned by a user. The information regarding an item may include a quantity owned and one or more triggering events. Based on the occurrence of a triggering event, an order for the item may be placed without user intervention. Data to the database may be provided by one or more sensors. Triggering events may be defined in terms of sensor data. The triggering event may be defined by a user or through machine learning. The order may be placed using a predetermined modality or a dynamically-determined modality based on one or more criteria, such as price, shipping speed, and the urgency of the order.

Abstract: An item sorting system is described. The item sorting system includes at least one bin that holds items to be sorted and a light source that illuminates the items stored in the at least one bin. In implementations, the at least one bin includes walls that direct light, received from the light source via a first surface, for emission via a second surface facing an interior of the at least one bin. The item sorting system further includes a recognition device that identifies the items for use in sorting the items. The item sorting system further includes an end effector that manipulates the items during sorting. In some implementations, the end effector includes tips that apply a gentle vacuum force to individually manipulate items in a manner that allows for efficient sorting without damaging the items.

Abstract: Different action user-interface components in a comparison view are described. Initially, a selection is received to display a comparison view via a user interface of a listing platform. Multiple listings of the listing platform are selected for inclusion in the comparison view. A comparison view system determines which action of a plurality of actions, used by the listing platform, to associate with each of the listings. A display device displays the multiple listings concurrently in a comparison view via a user interface of the listing platform and also displays an action user-interface component (e.g., a button) in each of the plurality of listings. The action user-interface component is selectable to initiate the action associated with the respective listing. In accordance with the described techniques, the action user-interface component displayed in at least two of the multiple listings is selectable to initiate different actions in relation to the respective listing.

Abstract: Techniques for generating a digital wardrobe are presented herein. A transceiver can be configured to receive a request having a garment identifier and a user identifier. Additionally, an access module can be configured to access a first garment model, access a body model of the user corresponding to the user identifier, and access a second garment model corresponding to the user identifier. Furthermore, a processor can be configured by a garment simulation module to position the body model inside the first garment model and the second garment model, and calculate simulated forces based on the positioning. Moreover, a rendering module can be configured to generate an image of the garment models draped on the body model based on the calculated simulated forces. Subsequently, a display module can be configured to cause presentation of the generated image on a display of a device.

Abstract: Technologies are shown for secure management of personal information data involving storing personal information data in a personal information data block and committing the personal information data block to a personal information data blockchain and authorizing access to the personal information data by a platform entity by storing a platform identifier corresponding to the platform entity in authorized access data. An access request is received from the platform entity that includes the platform identifier for the first platform entity. If the platform identifier is verified to be in the authorized access data, the personal information data is obtained from the personal information data blockchain and returned to the platform entity. In some examples, the authorized access data includes permissions that identify portions of the personal information data that the platform entity can access. In other examples, the authorized access data is secured on an authorized access data blockchain.

Abstract: Methods, systems, and computer storage media for providing supplementary item information on communications-based compatibility features for a primary item in an item listing platform. In particular, communications-based compatibility features are extracted from user communications about the primary item to identify additional features of the item. In operation, a supplementation engine of an item listing platform, accesses user communications for the primary item. Supplementary item information is generated for the item, where the supplementary item information includes a communications-based compatibility feature associated with the item. The communications-based compatibility feature indicates that the primary item is compatible with the secondary item, a non-standard feature (e.g., a feature not provided in a feature set of the primary item), or a demographic feature (e.g., age).

Abstract: Systems and methods for are provided for predicting impending failure of a database and preemptively initiating mitigating failover actions, for example by shedding connections or redirecting connection requests to an alternate database that can fulfill resources being requested. In an example embodiment, to detect a slow or unstable database, connection wait times are monitored over a rolling window of time intervals, a quantity of intervals in which at least one excessive wait time event occurred are counted during the time window, and if the quantity exceeds a threshold, the database is deemed unavailable, thereby triggering connection adjustments.

Abstract: Technologies are shown for network attribution tracking for a multi-legged transaction. In accordance with some aspects, a request is received at a second service from a client device via a first redirect including a first token associated with a first service. The second service sends, to a token service, a token request including the first token, wherein the token request causes the token service to associate a second token with the first token. The second service receives, from the token service, a token response including the second token. The second service provides, to the client device, a second redirect to a third service, the second redirect including the second token. In some aspects, a transaction is attributed to at least the first service and the second service based on the association of the second token with the first token.

Abstract: A system comprising a computer-readable storage medium storing at least one program and a computer-implemented method for simulating the fit of a particular garment on a user using a fit simulation garment. The fit simulation garment is wearable by a user and comprises a plurality of actuators configured to simulate tightness of regions of the particular garment. The method includes receiving a garment fit model defining the fit of the particular garment on the user. The method further includes parsing the garment fit model to generate control data for controlling the fit simulation garment, and transmitting the control data to the fit simulation garment to cause the plurality of actuators to collectively simulate the fit of the particular garment on the user.

Abstract: An apparatus and method to adjust item recommendations are disclosed herein. A first image attribute of a query image is compared to a second image attribute of each of a plurality of inventory images of a plurality of inventory items to identify the inventory items similar to the query image. Item recommendations comprising the identified inventory items in a first listing order are provided for display at a remote device. A second listing order of the identified inventory items is determined based on a user preference for a particular one of the identified inventory items. At least the second listing order is provided to the remote device for re-display of the item recommendations in accordance with the second listing order.

Abstract: Dynamic link preview generation techniques are described that overcome the challenges of conventional techniques by supporting link preview generation by a content provider system that proves the digital content via a respective network address. In one example, a content provider system, based on a request received from a service provider system, identifies a communication platform of the service provider system that is to be used to communicate the shared link. Upon identifying the communication platform, the content provider system locates customization data that describes how the link preview is to be generated for the communication platform. In response, the content provider system renders digital content available via the network address to generate the link preview.

Abstract: Search techniques are described that support locating and displaying prospective objects in digital images based on a removed object. A digital image, for instance, is received by a computing device as an input depicting a physical environment with various objects and displayed in a user interface. An object depicted by the digital image is removed. An aspect of the removed object is identified. A search system leverages the aspect to locate a prospective object. The prospective object is configured for display within the digital image. As a result, the digital image is displayed in the user interface as having the configured prospective object depicted in the physical environment.

Abstract: An inventory prediction system is described that outputs a predicted inventory item not included in a user's known inventory using a cross-category directional graph that represents item categories as nodes. The inventory prediction system implements a prediction model trained using machine learning to output the predicted inventory item using the graph and at least one item from the user's known inventory. The inventory prediction system is further configured to generate a listing recommendation for the predicted inventory item. To do so, the inventory prediction system implements a logistic regression model trained using machine learning to calculate a probability that the listing recommendation should be generated using attributes of the predicted inventory item and attributes of currently trending items.

Abstract: Technologies are shown for shipping route selection involving receiving sender and recipient shipping information for an item to be shipped and obtaining shipping route options for the item based on the sender and recipient shipping information. The route options are provided for display and selection of an option. A routing data block is created for the item at an address on a blockchain that stores shipping information for each stage of the selected route. A shipping tag is encoded with the blockchain address and attached to the item. The tag can be scanned to obtain the blockchain address and request information for a next stage of the shipping route from the block. The next shipping information from the block is received and utilized to ship the item to a next geolocation. The next shipping information can be determined based on current conditions, such as weather, pricing and availability.

Abstract: Techniques are described, as implemented by computing devices, to control access to transactions through use of cosigning based on tokenized reputation scores. This is performed by leveraging a blockchain such that tokenized reputation scores are generated based on amounts of cryptographic reputation tokens associated with blockchain account addresses associated with applicant and co-signer service provider accounts. Transactional functionality is made available to an applicant service provider account having an insufficient tokenized reputation score by using a co-signer service provider account having a sufficient tokenized reputation score to at least partially back an obligation of the applicant service provider for a transaction.

Abstract: A search query and a concept comprising a feature are received from a user. Positive and negative item sets are identified, where items of the positive item set comprise the feature and items of the negative item set do not comprise the feature. A hyperplane located between the positive and negative item sets is generated using a machine learning model. A concept activation vector (CAV) orthogonal to the hyperplane is determined. The CAV is used to produce a modified search query vector. Based on comparing the modified search query vector with item vectors, a second set of search results is provided.

Abstract: Techniques are described, as implemented by computing devices, to control access to transactions through use of tokenized reputation scores. This is performed by leveraging a blockchain such that a tokenized reputation score is generated or calculated based on an amount of reputation tokens associated with a blockchain account address associated with a service provider account, and by making transactional functionality available to the service provider account based on a comparison of a tokenized reputation score affiliated with the service provider account with a threshold score associated with a transaction.

Abstract: Technologies are shown for secure management of evaluation data. An evaluation value is received from a source entity. The evaluation value relates to an evaluation entity. Trusted source data secured in one or more data blocks on a first blockchain is searched for an entry corresponding to the source entity. Based on finding the entry corresponding to the source entity in the trusted source data, an evaluation score for the evaluation entity is obtained from the first blockchain or a second blockchain. The evaluation score was previously calculated based on one or more previous evaluation values for the evaluation entity and stored on the first blockchain or the second blockchain. A new evaluation score for the evaluation entity is calculated using the evaluation score and the evaluation value. The new evaluation score for the evaluation entity is securely committed to a new data block on the first blockchain or the second blockchain.

Abstract: Systems and methods for centralized client application management are provided. In an example embodiment, a client state is received from a mobile device at a management device. The client state comprises information about a particular application. A first instruction for the mobile device is generated by one or more hardware processors. The first instruction comprises an instruction to the mobile device to prevent user interaction with a user interface of a particular application. The first instruction is communicated to the mobile device, and the mobile device performs the first instruction to prevent user interaction with the user interface of the particular application.

Abstract: Technologies are shown for storing data from a data object in a distributed application architecture and reassembling the data object from the stored data. A first set of data from the data object is stored on a distributed file system, and a second set of data from the data object is stored on a blockchain. In response to a request for the data object, a script from the blockchain is executed to generate a reassembled data object by: obtaining, from the blockchain, metadata to reassemble the data object, obtaining the second set of data from the blockchain and the first set of data from the distributed file system, and generating the reassembled data object using the first set of data and the second set of data based on the metadata.

Abstract: Systems and methods provide increased authentication security by verifying that a device is associated with a human user (as opposed to, for instance, malicious code). In some configurations, a request for authentication is received from a device that includes an identifier of the device (e.g., an IP address of the device). A determination is made that the identifier of the device was not previously associated with a human user. In response to determining that the identifier of the device was not previously associated with a human user, a verification process is initiated to determine that the device is associated with a human user.

Abstract: A database node selects one of a number of database mirror hosts to perform a database read query. In theory, mirror hosts store redundant database entries. In practice, some mirror hosts fail to receive or retain some entries, e.g. if a mirror host was down for maintenance, a mirror host was overburdened, etc. The health of a mirror host, quantified as a health score, represents a likelihood that an insert statement was received and retained. Health scores are generated based on health metrics—data periodically retrieved from mirror hosts used to infer how well the database was operating, e.g. a count of entries that were inserted, a count of errors encountered while the entries were inserted, etc. If the database read query specifies entries inserted during a specific time period, the mirror host may be selected based on the health scores representing that time period.

Abstract: Risk assessment in an authentication service is performed where an authorization request is received from a third-party application. Risk assessment policies for the authorization request are determined based on a class of the third-party application. The risk assessment policies are applied to the authorization request to determine an action to be performed for the authorization request, such as sending an authorization message in response to the authorization request or taking a remedial action (e.g., suspending the application, limiting the available actions, or sending a notification to a trusted security application).

Abstract: A machine may be configured to perform image evaluation of images depicting items for sale and to provide recommendations for improving the images depicting the items to increase the sales of the items depicted in the images. For example, the machine accesses a result of a user behavior analysis. The machine receives an image of an item from a user device. The machine performs an image evaluation of the received image based on an analysis of the received image and the result of the user behavior analysis. The performing of the image evaluation may include determining a likelihood of a user engaging in a desired user behavior in relation to the received image. Then, the machine generates, based on the evaluation of the received image, an output that references the received image and indicates the likelihood of a user engaging in the desired behavior.

Abstract: A method and a system process a stream of data in parallel across a plurality of nodes. The log processing system has a log module, a query language module, and a query processing module. The log module receives and organizes the stream of data into a sequential and nested data structure. The query language operator module defines operators that operate on the sequential and nested data structure. The query processing module processes in parallel across a plurality of nodes a query based on an operator on the stream of data.

Abstract: Technologies are disclosed herein for enhancing machine learning (“ML”)-based anomaly detection systems using knowledge graphs. The disclosed technologies generate a connected graph that defines a topology of infrastructure components along with associated alarms generated by a ML component. The ML component generates the alarms by applying ML techniques to real-time data metrics generated by the infrastructure components. Scores are computed for the infrastructure components based upon the connected graph. A root cause of an anomaly affecting infrastructure components can then be identified based upon the scores, and remedial action can be taken to address the root cause of the anomaly. A user interface is also provided for visualizing aspects of the connected graph.

Abstract: Methods, systems, and articles of manufacture, including computer program products, are provided for image cleanup. In some embodiments, there is provide a method which may include subsampling a first image to a first level image of a multiscale transform; performing, based on a machine learning model, an identification of a foreground portion of the first level image and a background portion of the first level image; generating, based on the identification of the foreground portion and the background portion, a first mask; upscaling the first mask to a resolution corresponding to the first image depicting the foreground item; applying the upscaled first mask to the first image to form a second image depicting the foreground item; and providing the second image depicting the foreground item to a publication system. Related systems and articles of manufacture, including computer program products, are also provided.

Abstract: A multimodal embedding modifier generates a modified seed search selection embedding for providing a set of search results. The multimodal embedding modifier enhances the ability and accuracy of identifying a user's true intent when searching the online marketplace. For example, embodiments disclosed herein can allow a user to navigate multiple modalities for an item. In some embodiments, a user may select a search result corresponding to an initial search query, and further modify the selected search result by inputting a modifier (e.g., a textual modifier). The multimodal embedding modifier can be trained using a training dataset including a text embedding, an image embedding, another type of embedding, or a combination thereof.

Abstract: Search queries are received and search results are provided. Interaction tracking is used to determine with which search results users interact. The search results having received interactions can be represented as item vectors, which can include a vector representation of a portion of the search result, such as a title, description, or image. For each search query, the item vectors are aggregated, such as by averaging the item vectors. The search queries are stored in an item dataset as collected search queries respectively associated with the aggregate item vectors. When a new search query is received, a search query vector can be compared to the aggregate item description vectors to identify collected search queries that are related. The related collected search queries can be provided as search query recommendations or search results associated with the collected search queries can be provided in response to receiving the new search query.

Abstract: A system comprising a computer-readable storage medium storing at least one program, and a computer-implemented method for enhancing and personalizing an interactive marketplace. The systems and methods provided herein may allow a user to receive search results that are tailored to the user's personal preferences based on social and purchasing information known about the user. In addition, the systems and methods provided herein may provide shipping updates to a buyer that include a personalized message based on location information provided by the package being shipped. In addition, the systems and methods provided herein allow merchants to provide incentives and rewards for shoppers by participating in interactive shopping games.