Live Event Search Ranking With Query Entity Matching

The patent applies local quality by selectively surfacing live events based on their relevance to the specific query and user intent. Not all live events are displayed uniformly - instead, the system evaluates each event's entities against query entities and displays only those with sufficient relevance, thereby improving user access to meaningful events while avoiding unnecessary system resource consumption from displaying irrelevant events.

The system changes parameters by introducing quality scores and time frame thresholds to filter live events. By evaluating events against multiple parameters (entity matching quality, time frame proximity to query, relevance score) and only surfacing events that meet threshold criteria, the system optimizes the balance between providing comprehensive access to live events and managing system resource demand efficiently.

The patent applies preliminary action by pre-computing and storing quality scores for live events before they are queried. The system evaluates events against query criteria in advance and caches the results, so that during actual search operations, the filtering process is expedited. This preliminary evaluation reduces the processing complexity during query time while still effectively filtering out irrelevant events.

The system implements self-service by having live events automatically evaluated and assigned quality scores based on their inherent properties (entities, time frames, relevance to potential queries). This automated self-evaluation reduces the need for complex manual filtering logic and allows the system to efficiently manage event relevance without proportionally increasing processing complexity.