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Topic-oriented query expansion for web search [PDF]

open access: possibleProceedings of the 15th international conference on World Wide Web, 2006
The contribution of this paper includes three folders: (1) To introduce a topic-oriented query expansion model based on the Information Bottleneck theory that classify terms into distinct topical clusters in order to find out candidate terms for the query expansion.
Shao-Chi Wang, Yuzuru Tanaka
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Web Searching and Σ2 Queries

2004
In the terminology of Logic programming, current search engines answer Σ1 queries (formulas of the form \(\exists\overline{x}\varphi(\overline{x})\) where \(\varphi(\overline{x})\) is a boolean combination of attributes). Such a query is determined by a particular sequence of keywords input by a user.
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Entity Linking for Web Search Queries

2015
We consider the problem of linking web search queries to entities from a knowledge base such as Wikipedia. Such linking enables converting a user’s web search session to a footprint in the knowledge base that could be used to enrich the user profile.
Padmanabhan, Deepak   +3 more
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Query Suggestion by Query Search: A New Approach to User Support in Web Search

2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2009
This paper introduces and analyzes a new approach to query suggestion. After the user issues a query q_0, for every document retrieved in a certain rank range [Theta_1,Theta_2], a query search procedure constructs queries that rank the document high enough for the user to see it.
Shen Jiang   +2 more
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A Query Substitution-Search Result Refinement Approach for Long Query Web Searches

2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2009
Long queries are widely used in current Web applications, such as literature searches, news searches, etc. However, since long queries are frequently expressed as natural language texts but not keywords, the current keywords-based search engines, like GOOGLE, perform worse with long queries than with short ones. This paper proposes a query substitution
Yan-Qing Zhang, Yan Chen
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Adaptive query routing in peer web search

Special interest tracks and posters of the 14th international conference on World Wide Web - WWW '05, 2005
An unstructured peer network application was proposed to address the query forwarding problem of distributed search engines and scalability limitations of centralized search engines. Here we present novel techniques to improve local adaptive routing, showing they perform significantly better than a simple learning scheme driven by query response ...
Le-Shin Wu   +2 more
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Query sampling for ranking learning in web search

Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval, 2009
Learning to rank has become a popular approach to build a ranking model for Web search recently. Based on our observation, the constitution of the training set will greatly influence the performance of the learned ranking model. Meanwhile, the number of queries in Web search is nearly infinite and the human labeling cost is expensive, hence a subset of
Linjun Yang   +3 more
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Predicting query reformulation during web searching

CHI '09 Extended Abstracts on Human Factors in Computing Systems, 2009
his paper reports results from a study in which we automatically classified the query reformulation patterns for 964,780 Web searching sessions (composed of 1,523,072 queries) in order to predict what the next query reformulation would be. We employed an n-gram modeling approach to describe the probability of searchers transitioning from one query ...
Jansen, Bernard   +2 more
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LiveConcept: Web Search using Structured Query

2007 IEEE 23rd International Conference on Data Engineering, 2007
In this paper, we propose an approach that structure the given query as a taxonomy, called a query taxonomy, from the user's perspective. The proposed approach is based on an unsupervised classification method, which uses the dynamic Web as the training corpus.
Pu-Jeng Cheng   +2 more
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Learning a Query Parser for Local Web Search

2010 IEEE Fourth International Conference on Semantic Computing, 2010
Parsing unstructured local web queries is often tackled using simple syntactic rules that tend to be limited and brittle. Here we present a data-driven approach to learning a query parser for local-search (geographical) queries. The learnt model uses class-level ngram language model-based features; these ngram language models, harvested from structured
Donghui Feng   +3 more
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