Multiterm Keyword Search in NoSQL Systems (original) (raw)

The paper investigates multiterm keyword search in NoSQL systems, particularly focusing on key-value stores. It identifies the limitations of existing single-term query approaches in large-scale distributed environments and proposes a multiterm indexing technique that adaptively stores popular term combinations based on query history. This technique significantly reduces bandwidth consumption while enhancing the system's capacity and response time, addressing the challenges posed by dynamic document sets and the trade-offs between query processing costs and index maintenance.