One or more computing devices, systems, and/or methods for providing comparable items for a query item are provided. A query is constructed based upon a set of similarity characteristics and a set of difference characteristics specified for a query item. The query is executed to identify a set of query item results comprising comparable items having characteristics similar to the set of similarity characteristics and characteristics different from the set of difference characteristics. The set of query item results are provided as query results for the query.

One or more computing devices, systems, and/or methods for providing comparable items for a query item are provided. A query is constructed based upon a set of similarity characteristics and a set of difference characteristics specified for a query item. The query is executed to identify a set of query item results comprising comparable items having characteristics similar to the set of similarity characteristics and characteristics different from the set of difference characteristics. The set of query item results are provided as query results for the query.

Described herein is a technique to facilitate conjunctive filtering for an embedding-based information retrieval system. Each item in a content collection is initially analyzed to identify its property values for some set of properties. For each item, its property values are encoded in the form of a vector, and concatenated with an item embedding for the item to derive an enhanced item embedding. When a query is received, a query embedding is generated. Any filtering parameters received with or as part of the query are encoded in the form of a vector, and the vector is concatenated with the query embedding to derive an enhanced query embedding. The enhanced query embedding is then used in a “k” approximate nearest neighbor search to identify items relevant to the query and having property values that satisfy the filtering parameters.

A wearable apparatus is provided. The wearable apparatus may include: a wearable image sensor configured to capture a plurality of images from an environment of a user; and at least one processor programmed to: receive, from the wearable image sensor, a facial image of an individual with whom a user interacted in a first interaction during a time window; receive sound data captured in a vicinity of the image sensor during a part of the time window; process the sound data to identify a key word; store an association between the key word and the facial image; receive another facial image of the individual during a second interaction; determine that the individual is the individual in the second interaction; access the memory to locate the key word from the first interaction; and cause a display of the key word on a display visible to the user.

A wearable apparatus is provided. The wearable apparatus may include: a wearable image sensor configured to capture a plurality of images from an environment of a user; and at least one processor programmed to: receive, from the wearable image sensor, a facial image of an individual with whom a user interacted in a first interaction during a time window; receive sound data captured in a vicinity of the image sensor during a part of the time window; process the sound data to identify a key word; store an association between the key word and the facial image; receive another facial image of the individual during a second interaction; determine that the individual is the individual in the second interaction; access the memory to locate the key word from the first interaction; and cause a display of the key word on a display visible to the user.

Implementations are described herein for analyzing existing interactive web sites to facilitate automatic engagement with those web sites, e.g., by automated assistants or via other user interfaces, with minimal effort from the hosts of those websites. For example, in various implementations, techniques described herein may be used to abstract, validate, maintain, generalize, extend and/or distribute individual actions and “traces” of actions that are useable to navigate through various interactive websites. Additionally, techniques are described herein for leveraging these actions and/or traces to automate aspects of interaction with a third party website. For example, in some implementations, techniques described herein may enable users to engage with an automated assistant (via a spoken or typed dialog session) to interact with the third party website without requiring the user to visually interact with the third party web site directly and without requiring the third party to implement their own third party agent.

The present application discloses a search method and apparatus, which include specifically: after a search keyword is acquired, acquiring a search result of the search keyword with use of a fine ranking layer of a vertical search architecture if the search keyword is a keyword related to vertical search; processing a display effect of the search result with use of a business layer of the vertical search architecture to obtain a target search result; and transmitting the target search result to a display device. That is, in embodiments of the present application, a search result of a search keyword may be acquired with use of a fine ranking layer of a vertical search architecture, and 10 orders of magnitude of data can generally be searched at the fine ranking layer compared with a business layer, therefore, a more complete and accurate search result can be obtained.

The present application discloses a search method and apparatus, which include specifically: after a search keyword is acquired, acquiring a search result of the search keyword with use of a fine ranking layer of a vertical search architecture if the search keyword is a keyword related to vertical search; processing a display effect of the search result with use of a business layer of the vertical search architecture to obtain a target search result; and transmitting the target search result to a display device. That is, in embodiments of the present application, a search result of a search keyword may be acquired with use of a fine ranking layer of a vertical search architecture, and 10 orders of magnitude of data can generally be searched at the fine ranking layer compared with a business layer, therefore, a more complete and accurate search result can be obtained.

A data query method, an electronic device, and a storage medium are provided, and relate to the field of computer technologies, and in particular to the field of intelligent search. The method includes: determining an extraction location of target data according to a data query request; determining a data extraction strategy corresponding to the extraction location; and extracting the target data at the extraction location according to the data extraction strategy, and using the target data as a data query result. The above solution solves the technical problems of excessive system overhead and poor real-time performance in the existing deep paging mechanism.

A data query method, an electronic device, and a storage medium are provided, and relate to the field of computer technologies, and in particular to the field of intelligent search. The method includes: determining an extraction location of target data according to a data query request; determining a data extraction strategy corresponding to the extraction location; and extracting the target data at the extraction location according to the data extraction strategy, and using the target data as a data query result. The above solution solves the technical problems of excessive system overhead and poor real-time performance in the existing deep paging mechanism.