Importance

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Abstract

The disclosed embodiments enable multi-stage query scoring, including “snippet” generation, through incremental document reconstruction facilitated by a multi-tiered mapping scheme. The mapping scheme includes a first mapping between unique tokens contained in a set of documents and unique global token identifiers (e.g., 32-bit integers) contained in a global-lexicon (i.e., dictionary). The mapping scheme also includes a second mapping between the global token identifiers and a set of fixed-length local token identifiers (e.g., 8-bit integers) contained in one or more mini-lexicons (i.e., sub-dictionaries). Each mini-lexicon is associated with a range of token positions in the tokenized documents. The first and second mappings are used to encode/decode documents into local token identifiers having fixed widths which can be compactly stored in the tokenspace repository. The use of fixed-length local token identifiers allows for fast and efficient decoding of tokenized documents.

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First Claim