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query logs

Learning a Spelling Error Model from Search Query Logs

Learning a Spelling Error Model from Search Query Logs

... non-dictionary search query tokens. The word list available on most Unix systems /usr/dict/words is a comprehensive list that contains 96,274 words, in- cluding names, plurals, verbs in several tenses, and ...

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Weakly Supervised Acquisition of Open Domain Classes and Class Attributes from Web Documents and Query Logs

Weakly Supervised Acquisition of Open Domain Classes and Class Attributes from Web Documents and Query Logs

... of query logs during the extraction of labeled classes of instances from Web documents, we acquire thousands (4,583, to be exact) of open-domain classes covering a wide range of topics and ...

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An evaluation of multi probe locality sensitive hashing for computing similarities over web scale query logs

An evaluation of multi probe locality sensitive hashing for computing similarities over web scale query logs

... scale query logs from a large search ...each query is initially represented in a high dimensional feature space, where each dimension corresponds to a clicked ...huge logs, and allow online ...

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A Novel Approach for Clustering Images Based On User Search Query Logs

A Novel Approach for Clustering Images Based On User Search Query Logs

... ABSTRACT:Existing web image search engines such as Google and AltaVista return a large quantity of search results, ranked by their relevance to the given query. Web users have to go through the list and look for ...

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Subtask Mining from Search Query Logs for How Knowledge Acceleration

Subtask Mining from Search Query Logs for How Knowledge Acceleration

... How-knowledge is indispensable in daily life, but has relatively less quantity and poorer quality than what-knowledge in publicly available knowledge bases. This paper first extracts task-subtask pairs from wikiHow, then ...

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Mining Entity Types from Query Logs via User Intent Modeling

Mining Entity Types from Query Logs via User Intent Modeling

... tries, they provide an independent signal from text corpora, their timestamps allow the learning of type priors at specific points in time, and they can contain information such as clickthroughs that are not found in ...

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Can Click Patterns across User’s Query Logs Predict Answers to Definition Questions?

Can Click Patterns across User’s Query Logs Predict Answers to Definition Questions?

... As for user clicks, they provide valuable rele- vance feedback for a variety of tasks, cf. (Radlin- ski et al., 2010). For instance, (Ji et al., 2009) extracted relevance information from clicked and non-clicked ...

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Minimally Supervised Learning of Semantic Knowledge from Query Logs

Minimally Supervised Learning of Semantic Knowledge from Query Logs

... We proposed a minimally supervised bootstrap- ping algorithm called Tchai. The main contribution of the paper is to adapt the general-purpose Es- presso algorithm to work well on the task of learn- ing semantic ...

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Open Entity Extraction from Web Search Query Logs

Open Entity Extraction from Web Search Query Logs

... on query log is similar to other sea-side travel destination and related con- cepts, such as ‘greek isle’, ‘kauai snorkeling’ and ‘south america ...over query log, is potentially useful for those ...

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Paraphrasing with Search Engine Query Logs

Paraphrasing with Search Engine Query Logs

... 5 Conclusions and Future Directions In this paper, we put forward a novel method that extracts paraphrases from search engine query logs. Our contribution is that we, for the first time, propose to extract ...

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Search Query Recommendations using Hybrid User Profile with Query Logs

Search Query Recommendations using Hybrid User Profile with Query Logs

... their query keywords in front of the search engines ...the query recommendations are an essential technique to provide suggestions to the user to frame their queries in the ...future. Query ...

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Mining named entities from search engine query logs

Mining named entities from search engine query logs

... each query in a search engine query log, the objective is to classify each candidate NE into a target NE ...a query after excluding the NE. For example, the query template ‘# trailer’ can be ...

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Advances in nowcasting influenza-like illness rates using search query logs

Advances in nowcasting influenza-like illness rates using search query logs

... that query clusters may convey different thematic ‘concepts’, related to flu, other health topics or even expressing seasonal patterns, our learning algorithm will be able to model the contribution of each of ...

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A Survey on Facet Generation Framework Using Query Logs

A Survey on Facet Generation Framework Using Query Logs

... or query subtopics. A weakness of this approach is that the query subtopics are hidden from the user, leaving him or her to guess at how the results are ...extract query facets from web search ...

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Intent Shift Detection Using Search Query Logs

Intent Shift Detection Using Search Query Logs

... in query streams (He & Harper, 2002), some category of user intent (Ozmutlu & Cavdur, 2005) or dynamic comprehension time (Wang, Lin, & Chen, ...

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Query Recommendation employing Query Logs in Search Optimization

Query Recommendation employing Query Logs in Search Optimization

... Fig. 3 shows the ranking suggested to Query 3 (chile rentals). The second column shows the popularity of the queries in the cluster. The third column shows the support, and the last column illustrates the ...

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Facets Generation of Framework Using Query Logs

Facets Generation of Framework Using Query Logs

... a query using groups of semantically related terms extracted from search ...the query “baggage allowance”, these groups might be different airlines, different flight types (domestic, international), or ...

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Design of Query Suggestion System using
Search Logs and Query Semantics

Design of Query Suggestion System using Search Logs and Query Semantics

... the query logs to retrieve the potential clusters of queries and then finds the most popular queries in each ...the query and each directed edge a ...the query and it guides the decision of ...

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Learning Dense Models of Query Similarity from User Click Logs

Learning Dense Models of Query Similarity from User Click Logs

... candidate query rewrites from user query logs, and use it to train ...thousand query-rewrite pairs, our dataset comprises around 1 billion query-rewrite ...user query log ...user ...

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Query Focused Summarization using TF-IDF, K-Mean Clustering and HMM

Query Focused Summarization using TF-IDF, K-Mean Clustering and HMM

... ambiguous query, different users may have different search goals when they submit it to a search ...engine query logs a framework to discover different user search goals for a query by ...

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