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Questions and Answers
What is the main difference between postings lists in a nonpositional index and a positional index?
What is the main difference between postings lists in a nonpositional index and a positional index?
What type of search does a positional index support?
What type of search does a positional index support?
What is an example of a query that requires a proximity search?
What is an example of a query that requires a proximity search?
What is the purpose of a positional index?
What is the purpose of a positional index?
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What is an example of a document that would match the query 'employment /4 place'?
What is an example of a document that would match the query 'employment /4 place'?
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What is the simplest algorithm for proximity search using positional index?
What is the simplest algorithm for proximity search using positional index?
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What is a limitation of using positional indexes for proximity search?
What is a limitation of using positional indexes for proximity search?
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What is the advantage of combining biword indexes with positional indexes?
What is the advantage of combining biword indexes with positional indexes?
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What is the benefit of using Next Word Index over positional indexes?
What is the benefit of using Next Word Index over positional indexes?
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What is the purpose of including frequent biwords as vocabulary terms in the index?
What is the purpose of including frequent biwords as vocabulary terms in the index?
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What is the result of using a combination scheme of frequent biwords and positional intersection?
What is the result of using a combination scheme of frequent biwords and positional intersection?
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What operation takes O(m+n) time complexity in merging two postings lists?
What operation takes O(m+n) time complexity in merging two postings lists?
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What is the purpose of skip pointers in postings lists?
What is the purpose of skip pointers in postings lists?
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What is the tradeoff in placing skip pointers?
What is the tradeoff in placing skip pointers?
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What is the advantage of using skip pointers in query processing?
What is the advantage of using skip pointers in query processing?
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When is it possible to do better than O(m+n) time complexity in merging postings lists?
When is it possible to do better than O(m+n) time complexity in merging postings lists?
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What happens when we match a posting on both lists?
What happens when we match a posting on both lists?
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Study Notes
Index Types and Structures
- Nonpositional index: each posting consists of just a document ID (docID).
- Positional index: each posting includes a docID and a list of specific positions where the term appears.
Positional Index Example
- Queries can be structured with terms sorted by their occurrence and relevance (e.g. "to1 be2 or3 not4 to5 be6").
- For example, the term ‘TO’ in document 993427 has multiple positions: 7, 18, 33, etc.
- Document 4 matches the query based on the positional index.
Proximity Search
- Positional indexes support proximity searches, allowing searches for documents where two terms occur within a specified distance (e.g., EMPLOYMENT /4 PLACE).
- Example hit: "Employment agencies that place healthcare workers are seeing growth."
- Example miss: "Employment agencies that have learned to adapt now place healthcare workers."
Proximity Search Implementation
- Simplest algorithm involves the cross-product of positions for the queried terms within individual documents.
- The approach is inefficient for commonly used or stop words, which require returning actual matching positions.
Combination Indexing Scheme
- Biword and positional indexes can be effectively combined for efficiency.
- Frequent biwords (e.g. "Michael Jackson") enable faster searches than typical positional postings intersection.
- A mixed indexing scheme, such as the Next Word Index, can improve speed while requiring more storage (26% more space).
Merge Operations in Indexing
- Basic merge involves traversing two postings simultaneously, with a time complexity of O(m+n), where m and n are the lengths of the posting lists.
- The merge process can be optimized through techniques like skip pointers.
Skip Pointers
- Skip pointers enhance indexing by allowing for the skipping of irrelevant postings during query processing.
- Skip pointers must be carefully placed to effectively reduce the number of comparisons during searches.
Query Processing with Skip Pointers
- In a situation where lists are traversed and a match occurs, skip pointers allow the algorithm to jump ahead to relevant entries.
- For example, if the matched number is 8, the next number on one list is 11, and the skip pointer allows skipping ahead past irrelevant postings to 31.
Placement and Trade-offs of Skip Pointers
- The effectiveness of skip pointers is based on the balance between the number of skip pointers and the length of gaps they create.
- More skips can lead to shorter spans and more possible skips, though they can also require additional comparisons with more pointers.
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Description
This quiz covers the basics of indexing in information retrieval, including positional and nonpositional indexes, and querying techniques.