Results 31 to 40 of about 562,345 (372)
ORCAS: 18 Million Clicked Query-Document Pairs for Analyzing Search [PDF]
International Conference on Information and Knowledge Management, 2020 Users of Web search engines reveal their information needs through queries and clicks, making click logs a useful asset for information retrieval. However, click logs have not been publicly released for academic use, because they can be too revealing of ...
Nick Craswell +4 more
semanticscholar +1 more source
Understanding the specificity of web search queries [PDF]
CHI '13 Extended Abstracts on Human Factors in Computing Systems, 2013 Understanding the specificity of Web search queries can help search systems better address the underlying needs of searchers and provide them relevant content. The goal of this work is to automatically determine the specificity of web search queries. Although many factors may impact the specificity of Web search queries, we investigate two factors of ...
Carolyn Theresa Hafernik +1 more
openaire +2 more sources
A Document Ranking Method With Query-Related Web Context
IEEE Access, 2019 In this paper, an approach is proposed to evaluate and rearrange web pages, based on the query-related web context. The contexts we focus on are the terms co-occurring with queries in microblogs.
Jaekwang Kim
doaj +1 more source
Reasoning & Querying – State of the Art [PDF]
, 2008 Various query languages for Web and Semantic Web data, both for practical use and as an area of research in the scientific community, have emerged in recent years.
Bry, François +2 more
core +1 more source
A Real-Time Query Log Protection Method for Web Search Engines
IEEE Access, 2020 Web search engines (e.g., Google, Bing, Qwant, and DuckDuckGo) may process a myriad of search queries per second. According to Internet Live Stats, Google handles more than two hundred million queries per hour, i.e., about two trillion queries per year ...
David Pamies-Estrems +2 more
doaj +1 more source
Query Rewriting for Retrieval-Augmented Large Language Models [PDF]
arXiv.org, 2023 Large Language Models (LLMs) play powerful, black-box readers in the retrieve-then-read pipeline, making remarkable progress in knowledge-intensive tasks.
Xinbei Ma +4 more
semanticscholar +1 more source
Agent-based web search personalization approach using dynamic user profile
Egyptian Informatics Journal, 2012 The World Wide Web has become the largest library through the history of the humanity. Having such a huge library made the search process more complex as the syntactic search engines offer an overwhelming amount of search results.
Ibrahim F. Moawad +3 more
doaj +1 more source
CYCLOSA: Decentralizing Private Web Search Through SGX-Based Browser Extensions [PDF]
, 2018 By regularly querying Web search engines, users (unconsciously) disclose large amounts of their personal data as part of their search queries, among which some might reveal sensitive information (e.g.
Bouchenak, Sara +8 more
core +4 more sources
Evaluating the retrieval effectiveness of web search engines using a representative query sample [PDF]
J. Assoc. Inf. Sci. Technol., 2014 Search engine retrieval effectiveness studies are usually small scale, using only limited query samples. Furthermore, queries are selected by the researchers.
D. Lewandowski
semanticscholar +1 more source
Web Searching with Entity Mining at Query Time [PDF]
, 2012 In this paper we present a method to enrich the classical web searching with entity mining that is performed at query time. The results of entity mining (entities grouped in categories) can complement the query answers with useful for the user information which can be further exploited in a faceted search-like interaction scheme.
Fafalios P. +5 more
openaire +2 more sources