Predicting query performance by query-drift estimation

A Shtok, O Kurland, D Carmel, F Raiber… - ACM Transactions on …, 2012 - dl.acm.org
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 …

Enhanced mean retrieval score estimation for query performance prediction

H Roitman, S Erera, O Sar-Shalom… - Proceedings of the ACM …, 2017 - dl.acm.org
We study the problem of mean retrieval score estimation for query performance prediction
(QPP). We propose an enhanced estimator which estimates the mean based on calibrated …

A study of query performance prediction for answer quality determination

H Roitman, S Erera, G Feigenblat - Proceedings of the 2019 ACM SIGIR …, 2019 - dl.acm.org
We study a constrained retrieval setting in which either a single qualitative answer is
provided as a response to a user-query or none. Given a user-query and the" best" answer …

An extended query performance prediction framework utilizing passage-level information

H Roitman - Proceedings of the 2018 ACM SIGIR International …, 2018 - dl.acm.org
We show that document-level post-retrieval query performance prediction (QPP) methods
are mostly suited for short query prediction tasks; such methods perform significantly worse …

An approach for document retrieval using cluster-based inverted indexing

G Chandwani, A Ahlawat… - Journal of Information …, 2023 - journals.sagepub.com
Document retrieval plays an important role in knowledge management as it facilitates us to
discover the relevant information from the existing data. This article proposes a cluster …

Driving the herd: Search engines as content influencers

G Goren, O Kurland, M Tennenholtz… - Proceedings of the 30th …, 2021 - dl.acm.org
In competitive search settings such as the Web, many documents' authors (publishers) opt to
have their documents highly ranked for some queries. To this end, they modify the …

Entity-Based Relevance Feedback for Document Retrieval

E Sheetrit, F Raiber, O Kurland - Proceedings of the 2023 ACM SIGIR …, 2023 - dl.acm.org
There is a long history of work on using relevance feedback for ad hoc document retrieval.
The main types of relevance feedback studied thus far are for documents, passages and …

Relevance feedback: The whole is inferior to the sum of its parts

F Raiber, O Kurland - ACM Transactions on Information Systems (TOIS), 2019 - dl.acm.org
Document retrieval methods that utilize relevance feedback often induce a single query
model from the set of feedback documents, specifically, the relevant documents. We …

On bias problem in relevance feedback

Q Xing, Y Zhang, L Zhang - Proceedings of the 20th ACM international …, 2011 - dl.acm.org
Relevance feedback is an effective approach to improve retrieval quality over the initial
query. Typical relevance feedback methods usually select top-ranked documents for …

Comparative Summarization of Document Collections

U Bista - 2022 - search.proquest.com
Comparing documents is an important task that help us in understanding the differences
between documents. Example of document comparisons include comparing laws on same …