The present disclosure relates to systems and methods for matching electronic activities with record objects based on entity relationships. The method can include accessing a plurality of electronic activities, identifying an electronic activity, identifying a first participant associated with a first entity and a second participant associated with a second entity, determining whether a record object identifier is included in the electronic activity, identifying a first record object of the system of record that includes an instance of the record object identifier, and storing an association between the electronic activity and the first record object. The method can include determining a second record object corresponding to the second entity, identifying, using a matching policy, a third record object linked to the second record object and identifying a third entity, and storing, by the one or more processors, an association between the electronic activity and the third record object.

An analysis device includes a storage unit that stores input sentences in association with information for distinguishing users, an extraction unit that extracts the input sentences stored in the storage unit on a per-user basis for respective corresponding functions, a classification unit that classifies the input sentences into intra-user similarity groups on the per-user basis for respective corresponding functions so that the input sentences extracted by the extraction unit form the intra-user similarity group consisting of input sentences similar to each other, an aggregation unit that aggregates the intra-user similarity groups among users on the per-function basis so that the intra-user similarity groups form an inter-user similarity group consisting of intra-user similarity groups similar to each other, and an output unit that outputs an aggregation result of the aggregation unit.

An analysis device includes a storage unit that stores input sentences in association with information for distinguishing users, an extraction unit that extracts the input sentences stored in the storage unit on a per-user basis for respective corresponding functions, a classification unit that classifies the input sentences into intra-user similarity groups on the per-user basis for respective corresponding functions so that the input sentences extracted by the extraction unit form the intra-user similarity group consisting of input sentences similar to each other, an aggregation unit that aggregates the intra-user similarity groups among users on the per-function basis so that the intra-user similarity groups form an inter-user similarity group consisting of intra-user similarity groups similar to each other, and an output unit that outputs an aggregation result of the aggregation unit.

Cooking recipe display system (100) is provided with database (11), extraction unit (21a), emphasis unit (21b), and output unit (23). Database (11) stores a plurality of cooking recipes each being expressed in natural language sentences. Extraction unit (21a) extracts one or more recipe terms from the natural language sentences constituting one cooking recipe selected from the plurality of cooking recipes. Emphasis unit (21b) determines an emphasis method for the one or more recipe terms. Output unit (23) outputs the one cooking recipe with the one or more recipe terms emphasized according to the emphasis method determined by emphasis unit (21b).

A system and a method creating an intelligent memory and providing contextual intelligent recommendations is provided. The invention provides extracting electronic communications data associated with active user data. Further, the invention provides performing a keyword tagging operation on conversation data present in the extracted electronic communications data based on a pre-generated keywords map. The invention provides generating a multi-relational model representative of conversation data associated with the electronic communications data in the form of graph nodes based on the keywords stored as the first tag and the second tag. The invention provides transmitting one or more electronic Recommendation Action Communication (RAC) with embedded application program interface calls based on the multi-relational model, the embedded application program interface calls enabling actions to be taken on information units via a single click.

Methods and systems for improved categorization of queries are disclosed. In one aspect, first queries having query results limited to a particular category are identified. Second queries including a first query are also identified. For identified second queries, a pattern is generated based on the second query and the included first query, and a rank of the first query's particular category in results for the second query and a percentage of the second query's results having a category equivalent to the included first query's particular category are determined. The ranks and percentages are aggregated for matching patterns, and second patterns with aggregated ranks and percentages meeting a criterion are determined. Results for a third query are limited to a category equivalent to a particular category for a first query included in the third query, and then transmitted over a computer network to a client device.

Techniques for improved data services are provided. Upon receiving a first request from a first client, a first timeline comprising a first plurality of events for an asset indicated in the first request is generated. Upon receiving a second request from a second client, a second timeline comprising a second plurality of events is generated. A first submission for the asset is provided to the first client, comprising updating a first graphical user interface (GUI) output on a first device of the first client. Upon determining that the first client approved the first submission, a merged timeline is generated based on the first and second timelines, where the merged timeline includes the first and second pluralities of events, comprising: updating the first GUI output on the first device, and a second GUI output on a second device of the second client, to indicate the merged timeline.

Systems and methods to extract and utilize textual semantics are described. The system receives item information that describes an item for sale on a network-based marketplace and analyzes the item information to generate application information that identifies a plurality of applications. The plurality of applications includes a first application that further includes the item as a first component of the first application. The system stores a listing in a database that includes the application information and the item information and publishes the listing on the network-based marketplace to sell the item via the network-based marketplace.

Systems and methods to extract and utilize textual semantics are described. The system receives item information that describes an item for sale on a network-based marketplace and analyzes the item information to generate application information that identifies a plurality of applications. The plurality of applications includes a first application that further includes the item as a first component of the first application. The system stores a listing in a database that includes the application information and the item information and publishes the listing on the network-based marketplace to sell the item via the network-based marketplace.

The present disclosure provides an apparatus for and method of generating a context category dataset. According to some embodiments, the present disclosure provides a context category dataset generating apparatus and method which predict a context category to which a user-inputted hashtag belongs, receive from the user the user's context category to which the hashtag belongs, and generate and update the context category dataset.