Sap Se

Frank Michels

Daniel Buchmann

Michael Aakolk

Florian Kresser

Marco Pesarese

Waldemar Porscha

Christian Münkel

Christian Munkel

In one embodiment, a method receives a search query including terms formed in a natural language expression. The terms are included in entities that are categorized in types of entities. The method analyzes the entities for the terms to generate a set of branch queries that include different combinations of entities for the terms. The set of branch queries are ranked based on the types of entities associated with entities of the respective branch queries and a branch query is selected based on the ranking for the branch query. The method uses the entities of the branch query to perform a search of a structured database of structured objects.

Search query generation using branching process for database queries

Methods, systems, and computer program products for ranking data items are described. In accordance with various example embodiments, a ranking configuration is defined for an object type, the ranking configuration comprising an assignment of one or more ranking dimensions each comprising one or more object attributes to the object type and, for each of the one or more assigned ranking dimensions, one or more corresponding values and a significance weight assigned to each value, at least one of values being a dynamic value corresponding to the context-based object attribute. A ranking condition is generated for each ranking dimension assigned to the object type. The generation of the ranking condition is based at least in part on one or more object attributes, a specified ranking-impact weight, a context value corresponding to the context-based object attribute, and the one or more values and associated significance weights. A database query for data objects of the specified object type and comprising the generated ranking condition is generated.

User-dependent ranking of data items

Ranking based on object data

The disclosure generally describes methods, software, and systems, including a method for generating search results. A search query for querying information from an information source, including business objects, is received from a user. Features associated with the user and business objects are identified for which result items are to be boosted using business knowledge associated with the user and information source. For each identified feature, query terms in the received search query applicable to a particular feature are identified. Weights based on the business knowledge are identified for feature-value pairs associated with each query term. A weighted search query is generated that includes weighted query parts that are a function of a respective query term and associated weight. The weighted search query is executed to produce a ranked result set that includes result items ranked according to the weights. The ranked result set is provided.

Relevance-weighted and ranked result sets

Each access event for a plurality of business objects is logged. Using the log, a user profile for each of a plurality of users is generated that identifies one or more recently accessed business objects. A relevance value for each business object identified in the user profile is calculated and an aging function is applied to the calculated relevance values. The relevance information can graphically rendered.

Event driven data staging and data aging algorithms for personalization data in enterprise search

A system includes reception of a request conforming to a modeled query and join filter criteria, the request comprising a first subrequest associated with a search attribute view and a second subrequest associated with an analytical view, definition of a join between the search attribute view and the analytical view based on one or more view attributes of the search attribute view, and filtering of a result set associated with the first subrequest based on the join and on the join filter criteria.

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Speyer, Germany

Frank Michels