Results 11 to 20 of about 287,496 (196)
Query formulation in web search [PDF]
Proceedings of the American Society for Information Science and Technology, 2009 AbstractOver 2 billion searches are conducted daily on Web search engines. Some Web searches are re‐finding what was seen before, but many searches are query reformulation or refinements as attempts to retrieve better results. Previous studies have examined query formulation and reformulation from the mid‐seventies to today, including online ...
Efthimis N. Efthimiadis +3 more
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Efficient Query Processing for Scalable Web Search [PDF]
Foundations and Trends® in Information Retrieval, 2018 Search engines are exceptionally important tools for accessing information in today’s world. In satisfying the information needs of millions of users, the effectiveness (the quality of the search results) and the efficiency (the speed at which the results are returned to the users) of a search engine are two goals that form a natural trade-off, as ...
Tonellotto, Nicola +2 more
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Semantic Web Search Based on Ontological Conjunctive Queries [PDF]
Journal of Web Semantics, 2010 Many experts predict that the next huge step forward in Web information technology will be achieved by adding semantics to Web data, and will possibly consist of (some form of) the Semantic Web. In this paper, we present a novel approach to Semantic Web search, called Serene, which allows for a semantic processing of Web search queries, and for ...
Fazzinga B. +3 more
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Web Search Queries Can Predict Stock Market Volumes [PDF]
PLoS ONE, 2012 We live in a computerized and networked society where many of our actions leave a digital trace and affect other people’s actions. This has lead to the emergence of a new data-driven research field: mathematical methods of computer science, statistical physics and sociometry provide insights on a wide range of disciplines ranging from social science to
Bordino I. +5 more
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Web Pages Ranking Algorithms: A Survey
Qubahan Academic Journal, 2021 Due to the daily expansion of the web, the amount of information has increased significantly. Thus, the need for retrieving relevant information has also increased. In order to explore the internet, users depend on various search engines. Search engines
Ayad Abdulrahman
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Semantic tagging of web search queries [PDF]
Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 2 - ACL-IJCNLP '09, 2009 We present a novel approach to parse web search queries for the purpose of automatic tagging of the queries. We will define a set of probabilistic context-free rules, which generates bags (i.e. multi-sets) of words. Using this new type of rule in combination with the traditional probabilistic phrase structure rules, we define a hybrid grammar, which ...
Mehdi Manshadi, Xiao Li
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Query Recommendation Using Hybrid Query Relevance
Future Internet, 2018 With the explosion of web information, search engines have become main tools in information retrieval. However, most queries submitted in web search are ambiguous and multifaceted.
Jialu Xu, Feiyue Ye
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Query expansion based on relevance feedback and latent semantic analysis [PDF]
Journal of Artificial Intelligence and Data Mining, 2014 Web search engines are one of the most popular tools on the Internet which are widely-used by expert and novice users. Constructing an adequate query which represents the best specification of users’ information need to the search engine is an important ...
Marziea Rahimi, Morteza Zahedi
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What Users Ask a Search Engine: Analyzing One Billion Russian Question Queries [PDF]
, 2015 We analyze the question queries submitted to a large commercial web search engine to get insights about what people ask, and to better tailor the search results to the users’ needs.
Braslavski, P. +5 more
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Organizing query completions for web search [PDF]
Proceedings of the 19th ACM international conference on Information and knowledge management, 2010 All state-of-the-art web search engines implement an auto-completion mechanism - an assistive technology enabling users to effectively formulate their search queries by predicting the next characters or words that they are likely to type. Query completions (or suggestions) are typically mined from past user interactions with the search engine, e.g ...
Alpa Jain, Gilad Mishne
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