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Mining Broad Latent Query Aspects from Search Sessions

by Xuanhui Wang, Deepayan Chakrabarti, Kunal Punera - KDD '09 , 2009
"... Search queries are typically very short, which means they are often underspecified or have senses that the user did not think of. A broad latent query aspect is a set of keywords that succinctly represents one particular sense, or one particular information need, that can aid users in reformulating ..."
Abstract - Cited by 14 (1 self) - Add to MetaCart
such queries. We extract such broad latent aspects from query reformulations found in historical search session logs. We propose a framework under which the problem of extracting such broad latent aspects reduces to that of optimizing a formal objective function under constraints on the total number of aspects

Beyond the session timeout: automatic hierarchical segmentation of search topics in query logs

by Rosie Jones, Kristina Lisa Klinkner - In Conference on Information and Knowledge Management (CIKM , 2008
"... Most analysis of web search relevance and performance takes a single query as the unit of search engine interaction. When studies attempt to group queries together by task or session, a timeout is typically used to identify the boundary. However, users query search engines in order to accomplish tas ..."
Abstract - Cited by 147 (1 self) - Add to MetaCart
Most analysis of web search relevance and performance takes a single query as the unit of search engine interaction. When studies attempt to group queries together by task or session, a timeout is typically used to identify the boundary. However, users query search engines in order to accomplish

REAL LIFE, REAL USERS, AND REAL NEEDS: A STUDY AND ANALYSIS OF USER QUERIES ON THE WEB

by Bernard J. Jansen, Amanda Spink, Tefko Saracevic , 2000
"... We analyzed transaction logs containing 51,473 queries posed by 18,113 users of Excite, a major Internet search service. We provide data on: (i) sessions- changes in queries during a session, number of pages viewed, and use of relevance feedback, (ii) queries- the number of search terms, and the u ..."
Abstract - Cited by 286 (25 self) - Add to MetaCart
We analyzed transaction logs containing 51,473 queries posed by 18,113 users of Excite, a major Internet search service. We provide data on: (i) sessions- changes in queries during a session, number of pages viewed, and use of relevance feedback, (ii) queries- the number of search terms

Analysis of a very large AltaVista query log

by Craig Silverstein, Monika Henzinger, Hannes Marais, Michael Moricz , 1998
"... In this paper we present an analysis of a 280 GB AltaVista Search Engine query log consisting of approximately 1 billion entries for search requests over a period of six weeks. This represents approximately 285 million user sessions, each an attempt to fill a single information need. We present an a ..."
Abstract - Cited by 195 (2 self) - Add to MetaCart
In this paper we present an analysis of a 280 GB AltaVista Search Engine query log consisting of approximately 1 billion entries for search requests over a period of six weeks. This represents approximately 285 million user sessions, each an attempt to fill a single information need. We present

Query recommendation using query logs in search engines

by Ricardo Baeza-yates, Carlos Hurtado, Marcelo Mendoza - IN INTERNATIONAL WORKSHOP ON CLUSTERING INFORMATION OVER THE WEB (CLUSTWEB, IN CONJUNCTION WITH EDBT), CREETE , 2004
"... In this paper we propose a method that, given a query submitted to a search engine, suggests a list of related queries. The related queries are based in previously issued queries, and can be issued by the user to the search engine to tune or redirect the search process. The method proposed is based ..."
Abstract - Cited by 134 (8 self) - Add to MetaCart
is based on a query clustering process in which groups of semantically similar queries are identified. The clustering process uses the content of historical preferences of users registered in the query log of the search engine. The method not only discovers the related queries, but also ranks them

Using terminological feedback for web search refinement: A log-based study

by Peter Anick - In Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
"... Although interactive query reformulation has been actively studied in the laboratory, little is known about the actual behavior of web searchers who are offered terminological feedback along with their search results. We analyze log sessions for two groups of users interacting with variants of the A ..."
Abstract - Cited by 142 (1 self) - Add to MetaCart
Although interactive query reformulation has been actively studied in the laboratory, little is known about the actual behavior of web searchers who are offered terminological feedback along with their search results. We analyze log sessions for two groups of users interacting with variants

Detecting session boundaries from Web user logs

by Daqing He, Ayse Göker - In Proceedingsof of the BCS-IRSG 22nd Annual Colloquium on Information Retrieval Research , 2000
"... Detecting session boundaries on the Web is important for several reasons. Firstly, it is important to establish a common context for various statistics relating to user sessions and frequency of user activities. More specifically, it is important to detect some boundaries in order to group related ..."
Abstract - Cited by 58 (5 self) - Add to MetaCart
related information together for other applications, such as learning techniques for adaptive search engines. To date, however, the notion of a session on the Web has not been consistently defined, if it at all. The tendency has been to group the log data that has been made available from one user

Identifying task-based sessions in search engine query logs

by Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Fabrizio Silvestri, Gabriele Tolomei - IN PROCEEDINGS OF THE FOURTH ACM INTERNATIONAL , 2011
"... The research challenge addressed in this paper is to devise effective techniques for identifying task-based sessions, i.e. sets of possibly non contiguous queries issued by the user of a Web Search Engine for carrying out a given task. In order to evaluate and compare different approaches, we built, ..."
Abstract - Cited by 39 (2 self) - Add to MetaCart
The research challenge addressed in this paper is to devise effective techniques for identifying task-based sessions, i.e. sets of possibly non contiguous queries issued by the user of a Web Search Engine for carrying out a given task. In order to evaluate and compare different approaches, we built

Multitasking during web search sessions

by A Spink, Minsoo Park, Bernard J. Jansen, Jan Pedersen - Information Processing & Management
"... A user’s single session with a Web search engine or information retrieval (IR) system may consist of seeking information on single or multiple topics, and switch between tasks or multitasking information behavior. Most Web search sessions consist of two queries of approximately two words. However, s ..."
Abstract - Cited by 48 (4 self) - Add to MetaCart
of multitasking search and information task switching during these two sets of AltaVista Web search sessions. A sample of two-query and three or more query sessions were filtered from AltaVista transaction logs from 2002 and qualitatively analyzed. Sessions ranged in duration from less than a minute to a few

Mining Search Engine Query Logs for Query Recommendation

by Zhiyong Zhang, Olfa Nasraoui - IN PROCEEDINGS OF THE 15TH INTERNATIONAL CONFERENCE ON WORLD WIDE WEB (WWW’06 , 2006
"... This paper presents a simple and intuitive method for mining search engine query logs to get fast query recommendations on a large scale industrial-strength search engine. In order to get a more comprehensive solution, we combine two methods together. On the one hand, we study and model search engin ..."
Abstract - Cited by 58 (1 self) - Add to MetaCart
to compensate for the high sparsity of real query log data, and more specifically, the shortness of most query sessions. To evaluate our method, we use one hundred day worth query logs from SINA' search engine to do o#-line mining. Then we analyze three independent editors evaluations on a query test set
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