Providing search results based on a compositional query

Reddi2 · Post by **Reddi2** » Wed Feb 19, 2025 6:42 am

oogle is increasingly evolving search into an entity-based search engine, so it is crucial to deliver relevant results by entity. This patent could be a piece of the puzzle to better understand entities and their relationships.

The patent describes a technique for providing search results based on compositional queries. This method involves identifying entity types and their relationships within the query, locating nodes within a knowledge graph, and evaluating attribute values to determine the resulting entity references. This system is able to manage queries that involve relative relationships between different entity types, thus providing search results that are more meaningful and contextual.

Compositional queries, as described in the patent and generally in the field of search and information retrieval, involve queries that involve multiple entity types and their interrelationships. Unlike queries that focus on a single keyword or entity, compositional queries aim to interpret and generate results based on the relationship of different entities in the query to each other.

Here is an overview:

Multiple entity types: Composition queries contain argentina cell phone number list references to at least two different entity types. An entity here refers to anything that is distinct, unique, and well-defined, such as a person, place, object, concept, etc.
Relative relationships: The entities in these queries are linked by some form of relative relationships. These relationships can be spatial, temporal, or other types of connections that purposefully link the entities together in a meaningful way.
SEO implications:
Complex query handling : SEO professionals should note that search engines are likely to move to more sophisticated handling of queries that involve the interplay of different entities. This evolution requires a deeper understanding of how to optimize content for these complex query structures.
Knowledge graph optimization : Given the patent's focus on using a knowledge graph, it is imperative to optimize content to be accurately recognized and categorized in these graphs. Effective integration with knowledge graphs can significantly improve content visibility and relevance.
Entity Recognition : It is crucial to structure content in a way that search engines can easily recognize and categorize the different entities and their relationships. Clear and logical organization of information can improve the discoverability and relevance of the content in multi-entity searches.
Contextual relevance : SEO strategies should prioritize ensuring that content is contextually relevant, taking into account the search engine's ability to understand and compare the attributes of different entities, thus aligning the content strategy with the search engine's advanced interpretation capabilities.