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Temporal query log profiling to improve web search ranking

Alexander Kotov, Pranam Kolari, Lei Duan, Yi Chang
2010 Proceedings of the 19th ACM international conference on Information and knowledge management - CIKM '10  
Temporal information can be leveraged and incorporated to improve web search ranking.  ...  In this work, we propose a method to improve the ranking of search results by identifying the fundamental properties of temporal behavior of low-quality hosts and spam-prone queries in search logs and  ...  Until recently, however, only a few attempts have been made to explore the idea of leveraging temporal information to improve web search ranking.  ... 
doi:10.1145/1871437.1871583 dblp:conf/cikm/KotovKDC10 fatcat:b3tv7pm4mrh7va545wuiysp5um

Personalised Query Suggestion for Intranet Search with Temporal User Profiling

Thanh Vu, Alistair Willis, Udo Kruschwitz, Dawei Song
2017 Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval - CHIIR '17  
., query logs) to recommend query modification suggestions for Intranet search.  ...  We then use the two profiles to re-rank the non-personalised query suggestion list returned by a state-of-the-art query suggestion method for Intranet search.  ...  Given a search session, we propose to build two temporal profiles for the specific user.  ... 
doi:10.1145/3020165.3022129 dblp:conf/chiir/VuWKS17 fatcat:r2yebqbqifgtpkjshrzmil5kay

Temporal Latent Topic User Profiles for Search Personalisation [chapter]

Thanh Vu, Alistair Willis, Son N. Tran, Dawei Song
2015 Lecture Notes in Computer Science  
In the experiments, we utilise the profiles to re-rank search results returned by a commercial web search engine.  ...  Our experimental results demonstrate that our temporal profiles can significantly improve the ranking quality.  ...  We would also like to thank Jingfei Li for providing the data & his help in pre-processing it.  ... 
doi:10.1007/978-3-319-16354-3_67 fatcat:wupyd4xktjcmxbl2izimkjhxb4

Personalized Search

Susan T. Dumais
2016 Proceedings of the 25th ACM International on Conference on Information and Knowledge Management - CIKM '16  
user model  Client-side re-ranking of (lots of) web search results using model  Good privacy (only the query is sent to server)  But, limited portability, and use of community  Personal score: Content  ...  Potential For Personalization  A single ranking for everyone limits search quality  Quantify the variation in individual relevance for the same query  Different ways to measure individual relevance  ... 
doi:10.1145/2983323.2983367 dblp:conf/cikm/Dumais16 fatcat:mhvmqqnryrgjflwhjt2kmaolmm

A Survey on Temporal Information Retrieval Systems

Litty KMathews, S. Deepa Kanmani
2012 International Journal of Computer Applications  
Keywords Temporal information retrieval, temporal ranking, Recency sensitive queries, Time-aware retrieval model. Year qualified queries.  ...  This survey gives an introduction to Temporal Information Retrieval and explores the different time-aware retrieval methods and temporal ranking methods for specific types of time-sensitive queries.  ...  AUTHOR METHOD TEMPORAL INFORMATION MERITS DEMERITS Micro blog data Micro blogging data can be used to improve web ranking for recency sensitive queries.  ... 
doi:10.5120/9271-3461 fatcat:st6jthvggbad7mrjs7gicyypmi

A Smart Web-Based Geospatial Data Discovery System with Oceanographic Data as an Example

Yongyao Jiang, Yun Li, Chaowei Yang, Fei Hu, Edward Armstrong, Thomas Huang, David Moroni, Lewis McGibbney, Frank Greguska, Christopher Finch
2018 ISPRS International Journal of Geo-Information  
Experiments and a search example show that the proposed system can improve the scientific community's data search experience by providing query expansion, suggestion, better search ranking, and data recommendation  ...  Specifically, (1) the system enables semantic query expansion and suggestion to assist users in finding more relevant data; (2) machine-learned ranking is utilized to provide the optimal search ranking  ...  Profile Analyzer Profile analyzer extracts user access pattern from raw web logs.  ... 
doi:10.3390/ijgi7020062 fatcat:kaexmw2oqrf5pfezshkyxtc5au

Web Search Query Privacy, an End-User Perspective

Kato Mivule
2017 Journal of Information Security  
logs.  ...  web search query privacy innovatively.  ...  Acknowledgements We would like to acknowledge the Department of Computer Science at Norfolk State University for making this work possible.  ... 
doi:10.4236/jis.2017.81005 fatcat:q6v5vkqrzrggnnrlrxbcadgemq

Issues and Challenges of User Intent Discovery (UID) during Web Search

Wael K. Hanna, Aziza S. Aseem, M. B. Senousy
2015 International Journal of Information Technology and Computer Science  
In order to improve the quality of web search results, while increasing the user's satisfaction, this paper presents the current work to identify user's intent sources and how to understand the user behavior  ...  and how to discover the users' intentions during the web search.  ...  Also explore the application of temporal intent. Especially, Study how the temporal intent can be used to construct a page ranking model to improve information retrieval performance. [11] . G.  ... 
doi:10.5815/ijitcs.2015.07.08 fatcat:zhbrnkbkzngtbn5lz442n4j46e

Putting context into search and search into context

Susan T. Dumais
2012 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval - SIGIR '12  
people for the same query  Implicit judgments (search result clicks, content analysis)  Personalization can lead to large improvements  Small study with explicit judgments  46% improvements  ...  Client-side re-ranking of (lots of) web search results using model  Good privacy (only the query is sent to server)  But, limited portability, and use of community  Explicit judgments from different  ...  models  Leverage content change on a page  Pages have different rates of change (influences document priors, P(D))  Terms have different longevity on a page (influences term weights, P(Q|D))  15% improvement  ... 
doi:10.1145/2348283.2348447 dblp:conf/sigir/Dumais12 fatcat:vbuwsrlk4fcrpibwgoqot3eoxu

Context-aware search personalization with concept preference

Di Jiang, Kenneth Wai-Ting Leung, Wilfred Ng
2011 Proceedings of the 20th ACM international conference on Information and knowledge management - CIKM '11  
We also propose a method that discovers search contexts by one-pass of raw search query log.  ...  A learning-to-rank approach is employed to combine the derived preference judgments and then a Context-Aware User Profile (CAUP) is created.  ...  First, we need to develop a method that automatically discovers search context from raw search query log.  ... 
doi:10.1145/2063576.2063661 dblp:conf/cikm/JiangLN11 fatcat:preizain5zfd5mqj75kapdrj24

Semantic Search on Applicant Tracking System

Le Quan Ha, Mainur Rahman
2017 IJARCCE  
Web search engines often federate many user queries to relevant structured databases.  ...  The relevant structured data items are then returned to the user along with web search results.  ...  ACKNOWLEDGMENT Our deepest heartfelt thanks are given to Hire Ground Software Solutions company in Calgary, Alberta.  ... 
doi:10.17148/ijarcce.2017.65122 fatcat:qbnnfo3hazdyhdkanjczwvupti

Personalized Web Search Architecture Supporting Privacy

2020 International Journal of Engineering and Advanced Technology  
The framework goes about as an improvement in the region of web mining as it expects to be easy to understand just as secure.  ...  A through depiction of architecture design gives total perspective on customized protection improved web search framework.  ...  Beside user searched data the web log maintained on the client machine stores URL searched by all users for each query.  ... 
doi:10.35940/ijeat.c5953.029320 fatcat:7dk5ggmuunhjlkzw2fi6p5wpem

Improving search relevancy for oceanographic data discovery

Edward M. Armstrong
2018 Zenodo  
Analyze web logs to discover user knowledge 2. Construct knowledge base by combining semantics and profile analyzer 3.  ...  relevance methodology and technical objectives • Analyze web/ftp logs and metadata to discover user knowledge (query and data relationships) • Construct knowledge base by combining semantics and profile  ... 
doi:10.5281/zenodo.5237209 fatcat:h4rmcvomlzeqffvhssg5h7343y

Selective personalization and group profiles for improved web search personalization

2020 Turkish Journal of Electrical Engineering and Computer Sciences  
Personalization is a common technique used in Web search engines to improve the effectiveness of retrieval. 4 While personalizing some queries yields significant improvements on user experience by providing  ...  ambiguity judgments 11 and group profiles based ranking method improve the Mean Reciprocal Rank by 8%. 12  ...  Web search personalization with ontological user profiles.  ... 
doi:10.3906/elk-1909-9 fatcat:22xspvfdindyfi3e65pd2zo66m

Web search/browse log mining

Daxin Jiang, Jian Pei, Hang Li
2010 Proceedings of the 19th international conference on World wide web - WWW '10  
Such massive search/browse log data, on the one hand, provides great opportunities to mine the wisdom of crowds and improve Web search as well as online advertisement.  ...  Then, we focus on four popular areas of log mining applications, namely query understanding, document understanding, query-document matching, and user understanding.  ...  Such massive search/browse log data, on the one hand, provides great opportunities to mine the wisdom of crowds and improve Web search as well as online advertisement.  ... 
doi:10.1145/1772690.1772925 dblp:conf/www/JiangPL10 fatcat:zqn5szoxafcjpkjq6bkvvjnlaa
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