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Which academic search systems are suitable for systematic reviews or meta‐analyses? Evaluating retrieval qualities of Google Scholar, PubMed, and 26 other resources Open
Rigorous evidence identification is essential for systematic reviews and meta‐analyses (evidence syntheses) because the sample selection of relevant studies determines a review's outcome, validity, and explanatory power. Yet, the search sy…
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Cypher Open
International audience
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Anchor DETR: Query Design for Transformer-Based Detector Open
In this paper, we propose a novel query design for the transformer-based object detection. In previous transformer-based detectors, the object queries are a set of learned embeddings. However, each learned embedding does not have an explic…
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Learning to Rank with Selection Bias in Personal Search Open
Click-through data has proven to be a critical resource for improving search ranking quality. Though a large amount of click data can be easily collected by search engines, various biases make it difficult to fully leverage this type of da…
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Google Dataset Search: Building a search engine for datasets in an open Web ecosystem Open
There are thousands of data repositories on the Web, providing access to millions of datasets. National and regional governments, scientific publishers and consortia, commercial data providers, and others publish data for fields ranging fr…
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Generating Clarifying Questions for Information Retrieval Open
Search queries are often short, and the underlying user intent may be ambiguous. This makes it challenging for search engines to predict possible intents, only one of which may pertain to the current user. To address this issue, search eng…
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Query Graph Generation for Answering Multi-hop Complex Questions from Knowledge Bases Open
Previous work on answering complex questions from knowledge bases usually separately addresses two types of complexity: questions with constraints and questions with multiple hops of relations. In this paper, we handle both types of comple…
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Effective Multi-Query Expansions: Collaborative Deep Networks for Robust Landmark Retrieval Open
Given a query photo issued by a user (q-user), the landmark retrieval is to return a set of photos with their landmarks similar to those of the query, while the existing studies on the landmark retrieval focus on exploiting geometries of l…
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Bao: Making Learned Query Optimization Practical Open
Query optimization remains one of the most challenging problems in data management systems. Recent efforts to apply machine learning techniques to query optimization challenges have been promising, but have shown few practical gains due to…
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Query Rewriting for Horn-SHIQ Plus Rules Open
Query answering over Description Logic (DL) ontologies has become a vibrant field of research. Efficient realizations often exploit database technology and rewrite a given query to an equivalent SQL or Datalog query over a database associa…
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On Application of Learning to Rank for E-Commerce Search Open
E-Commerce (E-Com) search is an emerging important new application of\ninformation retrieval. Learning to Rank (LETOR) is a general effective strategy\nfor optimizing search engines, and is thus also a key technology for E-Com\nsearch. Whi…
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G-CORE Open
We report on a community effort between industry and academia to \nshape the future of graph query languages. We argue that existing \ngraph database management systems should consider supporting \na query language with two key characteris…
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Query2doc: Query Expansion with Large Language Models Open
This paper introduces a simple yet effective query expansion approach, denoted as query2doc, to improve both sparse and dense retrieval systems. The proposed method first generates pseudo-documents by few-shot prompting large language mode…
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Apache Calcite Open
Apache Calcite is a foundational software framework that provides query processing, optimization, and query language support to many popular open-source data processing systems such as Apache Hive, Apache Storm, Apache Flink, Druid, and Ma…
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Important Factors for Improving Google Search Rank Open
The World Wide Web has become an essential modern tool for people’s daily routine. The fact that it is a convenient means for communication and information search has made it extremely popular. This fact led companies to start using online…
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International Journal of Computer Science and Information Technology Open
We take some parts of a theoretical mobility model in a two-dimension grid\nproposed by Greenlaw and Kantabutra to be our model. The model has eight\nnecessary factors that we commonly use in a mobile wireless network: sources or\nwireless…
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Document Representation and Query Expansion Models for Blog Recommendation Open
We explore several different document representation models and two query expansion models for the task of recommending blogs to a user in response to a query. Blog relevance ranking differs from traditional document ranking in ad-hocinfor…
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Query Resolution for Conversational Search with Limited Supervision Open
In this work we focus on multi-turn passage retrieval as a crucial component of conversational search. One of the key challenges in multi-turn passage retrieval comes from the fact that the current turn query is often underspecified due to…
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Companion Proceedings of the Web Conference 2022 Open
Question Answering (QA) is increasingly used by search engines to provide\nresults to their end-users, yet very few websites currently use QA technologies\nfor their search functionality. To illustrate the potential of QA technologies\nfor…
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BEST: Next-Generation Biomedical Entity Search Tool for Knowledge Discovery from Biomedical Literature Open
As the volume of publications rapidly increases, searching for relevant information from the literature becomes more challenging. To complement standard search engines such as PubMed, it is desirable to have an advanced search tool that di…
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A Dual Embedding Space Model for Document Ranking Open
A fundamental goal of search engines is to identify, given a query, documents that have relevant text. This is intrinsically difficult because the query and the document may use different vocabulary, or the document may contain query words…
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Random Forest Bagging and X‐Means Clustered Antipattern Detection from SQL Query Log for Accessing Secure Mobile Data Open
In the current ongoing crisis, people mostly rely on m obile phones for all the activities, but query analysis and mobile data security are major issues. Several research works have been made on efficient detection of antipatterns for mini…
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Machine Learning in Internet Search Query Selection for Tourism Forecasting Open
Prior studies have shown that Internet search query data have great potential to improve tourism forecasting. As such, selecting the most relevant information from large amounts of search query data is crucial to enhancing forecasting accu…
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Task-Oriented Query Reformulation with Reinforcement Learning Open
Search engines play an important role in our everyday lives by assisting us in finding the information we need. When we input a complex query, however, results are often far from satisfactory. In this work, we introduce a query reformulati…
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A survey of RDF stores & SPARQL engines for querying knowledge graphs Open
RDF has seen increased adoption in recent years, prompting the standardization of the SPARQL query language for RDF, and the development of local and distributed engines for processing SPARQL queries. This survey paper provides a comprehen…
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Context Attentive Document Ranking and Query Suggestion Open
We present a context-aware neural ranking model to exploit users' on-task search activities and enhance retrieval performance. In particular, a two-level hierarchical recurrent neural network is introduced to learn search context represent…
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Invisible Search and Online Search Engines Open
Invisible Search and Online Search Engines considers the use of search engines in contemporary everyday life and the challenges this poses for media and information literacy. Looking for mediated information is mostly done online and arbit…
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The Impact of Web Search Engines on Subject Searching in OPAC Open
This paper analyzes the results of transaction logs at California State University, Los Angeles (CSULA) and studies the effects of implementing a Web-based OPAC along with interface changes. The authors find that user success in subject se…
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Turning Clicks into Purchases Open
In recent years, product search engines have emerged as a key factor for online businesses. According to a recent survey, over 55% of online customers begin their online shopping journey by searching on an E-Commerce (EC) website like Amaz…
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Estimating Influenza Outbreaks Using Both Search Engine Query Data and Social Media Data in South Korea Open
These results demonstrate the feasibility of using search queries to enhance influenza surveillance in South Korea. In addition, an approach for query selection using social media data seems ideal for supporting influenza surveillance base…