Information Retrieval: Implementing and Evaluating Search Engines

By Stefan Büttcher, C. Clarke, Gordon V. Cormack. 2010

545 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/f69f275d7d5f2d483ec930253877ddc245adf63f

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Citations in the corpus

Assessing efficiency–effectiveness tradeoffs in multi-stage retrieval systems without using relevance judgments (2015, methodology): “Zobel and Moffat (2006) and Büttcher et al. (2010) provide surveys of these processes.”
Book Reviews: Data-Intensive Text Processing with MapReduce by Jimmy Lin and Chris Dyer (2010, background): “[30] recently compared the performance of various compression techniques on coding document ids.”
Automatic management of partitioned, replicated search services (2011, background): “Many IR textbooks (e.g., [12, 5]) provide an overview of how search engines are scaled up by partitioning the indexes and replicating the partitions, and IR research papers take this for granted (e.g. [ 13]).”
Decoding billions of integers per second through vectorization (2012, methodology): “ bits by adding leading zeros: e.g., 3 is written as 00000011 using 8 bits. In unary notation, we represent a number xas a sequence of x 1 digits 0 followed by the digit 1 (e.g., 1 !1, 2 !01, 3 !001) [30]. If the number xis can be zero, we can store x+1 instead. 2.1. Golomb and Rice coding In Golomb”
A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models (2024, unknown): “It has found extensive application in various fields [8, 27, 90, 144], such as search, question answering, and recommender systems.”
Anserini (2018, background): “An incomplete list includes Lemur/Indri [38, 39], Galago [15], Terrier [35, 42], ATIRE [51], Ivory [30], JASS [31], MG4J [12], [60, 61].”
Product1M: Towards Weakly Supervised Instance-Level Product Retrieval via Cross-Modal Pretraining (2021, background): “Cross-modal retrieval [43, 12, 48, 4, 44, 8] emerges as a promising avenue for efficient indexing and searching among large-scale data with different modalities, and is widely used in search engines [2, 14], E-commerce [18, 7], to name a few.”
Query Expansion Techniques for Information Retrieval: a Survey (2017, unknown): “, [242,285,61,161,91,227,71,55]).”