PAT-tree-based keyword extraction for Chinese information retrieval
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Mining Text Using Keyword Distributions
Journal of Intelligent Information Systems
Probabilistic latent semantic indexing
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Information retrieval and artificial intelligence
Artificial Intelligence - Special issue on applications of artificial intelligence
Improving the effectiveness of information retrieval with local context analysis
ACM Transactions on Information Systems (TOIS)
SearchPad: explicit capture of search context to support Web search
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
Agglomerative clustering of a search engine query log
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Probabilistic techniques for phrase extraction
Information Processing and Management: an International Journal
Mining web logs for prediction models in WWW caching and prefetching
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Placing search in context: the concept revisited
ACM Transactions on Information Systems (TOIS)
Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
Query Expansion by Mining User Logs
IEEE Transactions on Knowledge and Data Engineering
Personalized Web Search For Improving Retrieval Effectiveness
IEEE Transactions on Knowledge and Data Engineering
Retrieval effectiveness of an ontology-based model for information selection
The VLDB Journal — The International Journal on Very Large Data Bases
Learning to find answers to questions on the Web
ACM Transactions on Internet Technology (TOIT)
Extracting word sequence correspondences with support vector machines
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
A maximum entropy model for prepositional phrase attachment
HLT '94 Proceedings of the workshop on Human Language Technology
Methods for comparing rankings of search engine results
Computer Networks: The International Journal of Computer and Telecommunications Networking - Web dynamics
On the peninsula phenomenon in web graph and its implications on web search
Computer Networks: The International Journal of Computer and Telecommunications Networking
Automatic Keyword Extraction Using Linguistic Features
ICDMW '06 Proceedings of the Sixth IEEE International Conference on Data Mining - Workshops
The Google Similarity Distance
IEEE Transactions on Knowledge and Data Engineering
Evaluating Variable-Length Markov Chain Models for Analysis of User Web Navigation Sessions
IEEE Transactions on Knowledge and Data Engineering
Using lexical chains for keyword extraction
Information Processing and Management: an International Journal
Robustness of collaborative recommendation based on association rule mining
Proceedings of the 2007 ACM conference on Recommender systems
Text classification based on multi-word with support vector machine
Knowledge-Based Systems
The VLDB Journal — The International Journal on Very Large Data Bases
Advanced ontology management system for personalised e-Learning
Knowledge-Based Systems
On social networks and collaborative recommendation
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Computing semantic relatedness using Wikipedia-based explicit semantic analysis
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Automatic keyword prediction using Google similarity distance
Expert Systems with Applications: An International Journal
Semantic Web search based on rough sets and Fuzzy Formal Concept Analysis
Knowledge-Based Systems
Using Wikipedia concepts and frequency in language to extract key terms from support documents
Expert Systems with Applications: An International Journal
A tree-network model for mining short message services seed users and its empirical analysis
Knowledge-Based Systems
Graph-based semantic annotation for enriching educational content with linked data
Knowledge-Based Systems
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In recent years, finding the most relevant documents or search results in a search engine has become an important issue. Most previous research has focused on expanding the keyword into a more meaningful sequence or using a higher concept to form the semantic search. All of those methods need predictive models, which are based on the training data or Web log of the users' browsing behaviors. In this way, they can only be used in a single knowledge domain, not only because of the complexity of the model construction but also because the keyword extraction methods are limited to certain areas. In this paper, we describe a new algorithm called ''Word AdHoc Network'' (WANET) and use it to extract the most important sequences of keywords to provide the most relevant search results to the user. Our method needs no pre-processing, and all the executions are real-time. Thus, we can use this system to extract any keyword sequence from various knowledge domains. Our experiments show that the extracted sequence of the documents can achieve high accuracy and can find the most relevant information in the top 1 search results, in most cases. This new system can increase users' effectiveness in finding useful information for the articles or research papers they are reading or writing.