Abstract: A network-based enterprise or other system that makes items available for selection to users may implement selecting user interface elements for inclusion with a search result according to item category features of prior item selections. A search request for an item may be received. An item category for the item may be identified and a user interface element type selection model for the item category may be accessed to select of user interface element types for inclusion in a display of a search result in response to the search request. The user interface element type selection model for the item category may be generated based on features of previous item selections in the identified item category. Content for the selected user interface elements may be determined and a display of the search result may be provided that includes user interface elements generated according to the selected type and identified content may be included.

Abstract: The selection of search results to display can be based at least in part upon an intent determined for a search query. Various intent terms can be used to specify intent or context for a search query in order to obtain a certain type of result. The intent terms can be suggested or provided to a user in such a way as to train the user as to their existence and usage. A submitted search query is analyzed to detect the intent term and determine the overall intent of the query. One or more targeted intent queries are executed against determined data sources to obtain results relevant to that intent, such as new content items for a particular topic or items that are similar to those offered by a particular store. A diverse assortment of results can then be presented to the user.

Abstract: 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.

Abstract: 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. A classification for a query is determined based on the fingerprint information. In one embodiment, an electronic marketplace receives a query from a user, accesses a query classification database having fingerprint information, determines a fingerprint for the query based on the fingerprint information and dynamically modifies a user experience for the user based at least in part on the fingerprint information.

Abstract: 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. Search results presented to the user are modified by arranging items of the search results in accordance with one or more layouts and views based on query 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.

Abstract: 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.

Abstract: The present disclosure provides computer-implemented systems and processes for clustering items and improving the utility of item recommendations. One process involves applying a clustering algorithm to users' search session queries over periods of time to generate query clusters comprising correlated query terms. Correlations may be based on, among other things, the frequency of which query term pairs appear together in a single search session. The generated query clusters may be used to generate item descriptor clusters indicative of items and/or types of items that may be complementary. Other criteria may be applied to the query and item clusters to generate variant clusters. For example, information such as related brands, market segments, and other data may be applied to item descriptor clusters to generate item clusters that include complementary items associated with or targeted for particular demographics. Item descriptor clusters and item clusters can be used to improve the item recommendations.

Abstract: 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. A classification for a query is determined based on the fingerprint information. In one embodiment, an electronic marketplace receives a query from a user, accesses a query classification database having fingerprint information, determines a fingerprint for the query based on the fingerprint information and dynamically modifies a user experience for the user based at least in part on the fingerprint information.

Abstract: 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. A classification for a query is determined based on the fingerprint information. In one embodiment, an electronic marketplace receives a query from a user, accesses a query classification database having fingerprint information, determines a fingerprint for the query based on the fingerprint information and dynamically modifies a user experience for the user based at least in part on the fingerprint information.