[BOOK][B] Modern information retrieval
R Baeza-Yates, B Ribeiro-Neto - 1999 - people.ischool.berkeley.edu
Information retrieval (IR) has changed considerably in recent years with the expansion of the
World Wide Web and the advent of modern and inexpensive graphical user interfaces and …
World Wide Web and the advent of modern and inexpensive graphical user interfaces and …
Evaluation of information retrieval for E-discovery
The effectiveness of information retrieval technology in electronic discovery (E-discovery)
has become the subject of judicial rulings and practitioner controversy. The scale and nature …
has become the subject of judicial rulings and practitioner controversy. The scale and nature …
Academic information retrieval using citation clusters: in-depth evaluation based on systematic reviews
The field of science map** has shown the power of citation-based clusters for literature
analysis, yet this technique has barely been used for information retrieval tasks. This work …
analysis, yet this technique has barely been used for information retrieval tasks. This work …
To personalize or not to personalize: modeling queries with variation in user intent
In most previous work on personalized search algorithms, the results for all queries are
personalized in the same manner. However, as we show in this paper, there is a lot of …
personalized in the same manner. However, as we show in this paper, there is a lot of …
Query performance prediction in web search environments
Y Zhou, WB Croft - Proceedings of the 30th annual international ACM …, 2007 - dl.acm.org
Current prediction techniques, which are generally designed for content-based queries and
are typically evaluated on relatively homogenous test collections of small sizes, face serious …
are typically evaluated on relatively homogenous test collections of small sizes, face serious …
A relative information gain-based query performance prediction framework with generated query variants
Query performance prediction (QPP) methods, which aim to predict the performance of a
query, often rely on evidences in the form of different characteristic patterns in the …
query, often rely on evidences in the form of different characteristic patterns in the …
[BOOK][B] Information retrieval evaluation
D Harman - 2011 - books.google.com
Evaluation has always played a major role in information retrieval, with the early pioneers
such as Cyril Cleverdon and Gerard Salton laying the foundations for most of the evaluation …
such as Cyril Cleverdon and Gerard Salton laying the foundations for most of the evaluation …
An enhanced evaluation framework for query performance prediction
Abstract Query Performance Prediction (QPP) has been studied extensively in the IR
community over the last two decades. A by-product of this research is a methodology to …
community over the last two decades. A by-product of this research is a methodology to …
Deep-qpp: A pairwise interaction-based deep learning model for supervised query performance prediction
Motivated by the recent success of end-to-end deep neural models for ranking tasks, we
present here a supervised end-to-end neural approach for query performance prediction …
present here a supervised end-to-end neural approach for query performance prediction …
Predicting query performance by query-drift estimation
Predicting query performance, that is, the effectiveness of a search performed in response to
a query, is a highly important and challenging problem. We present a novel approach to this …
a query, is a highly important and challenging problem. We present a novel approach to this …