Results 51 to 60 of about 562,345 (372)
Ontology-Based Information Behaviour to Improve Web Search
Web Search Engines provide a huge number of answers in response to a user query, many of which are not relevant, whereas some of the most relevant ones may not be found.
Silvia Calegari, Gabriella Pasi
doaj +1 more source
BackgroundThe search for health information from web-based resources raises opportunities to inform the service operations of health care systems.
Jesus Trevino+2 more
doaj +1 more source
Query performance prediction in web search environments
Yun Zhou, W. Bruce Croft
openalex +3 more sources
Generic Intent Representation in Web Search [PDF]
This paper presents GEneric iNtent Encoder (GEN Encoder) which learns a distributed representation space for user intent in search. Leveraging large scale user clicks from Bing search logs as weak supervision of user intent, GEN Encoder learns to map ...
Hongfei Zhang+6 more
semanticscholar +1 more source
Learning to Match using Local and Distributed Representations of Text for Web Search [PDF]
Models such as latent semantic analysis and those based on neural embeddings learn distributed representations of text, and match the query against the document in the latent semantic space. In traditional information retrieval models, on the other hand,
Bhaskar Mitra+2 more
semanticscholar +1 more source
Experience of Developing a Meta-Semantic Search Engine
Thinking of todays web search scenario which is mainly keyword based, leads to the need of effective and meaningful search provided by Semantic Web. Existing search engines are vulnerable to provide relevant answers to users query due to their dependency
Joshi, Gajanan+4 more
core +1 more source
BackgroundThe 2014 Ebola epidemic in West Africa has attracted public interest worldwide, leading to millions of Ebola-related Internet searches being performed during the period of the epidemic.
C. Alicino+7 more
semanticscholar +1 more source
Objective: to evaluate the awareness of diseases causing to chronic arterial insufficiency by analyzing web search queries. Material and methods. In this study, we used the online keyword selection tool ‘Google Trends.’ The analysis was conducted for ...
A. M. Morozov+5 more
doaj +1 more source
A self-adapting latency/power tradeoff model for replicated search engines [PDF]
For many search settings, distributed/replicated search engines deploy a large number of machines to ensure efficient retrieval. This paper investigates how the power consumption of a replicated search engine can be automatically reduced when the system ...
Baeza-Yates R.+5 more
core +2 more sources
Deriving query intents from web search engine queries [PDF]
The purpose of this article is to test the reliability of query intents derived from queries, either by the user who entered the query or by another juror. We report the findings of three studies. First, we conducted a large‐scale classification study (~50,000 queries) using a crowdsourcing approach. Next, we used clickthrough data from a search engine
Lewandowski, Dirk+2 more
openaire +3 more sources