Lexical analysis and stoplists
Information retrieval
Some simple effective approximations to the 2-Poisson model for probabilistic weighted retrieval
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Pivoted document length normalization
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
A study of retrospective and on-line event detection
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Automatic resource compilation by analyzing hyperlink structure and associated text
WWW7 Proceedings of the seventh international conference on World Wide Web 7
ACM SIGKDD Explorations Newsletter
Topic-conditioned novelty detection
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Evolutionary timeline summarization: a balanced optimization framework via iterative substitution
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Topic correlation and individual influence analysis in online forums
Expert Systems with Applications: An International Journal
Timeline generation through evolutionary trans-temporal summarization
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Noise robust detection of the emergence and spread of topics on the web
Proceedings of the 2nd Temporal Web Analytics Workshop
Fine-grained topic detection in news search results
Proceedings of the 27th Annual ACM Symposium on Applied Computing
A tree-network model for mining short message services seed users and its empirical analysis
Knowledge-Based Systems
Towards Topic Trend Prediction on a Topic Evolution Model with Social Connection
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
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In this paper we introduce a new Web mining and search technique - Topic Initiator Detection (TID) on the Web. Given a topic query on the Internet and the resulting collection of time-stamped web documents which contain the query keywords, the task of TID is to automatically return which web document (or its author) initiated the topic or was the first to discuss about the topic. To deal with the TID problem, we design a system framework and propose algorithm InitRank (Initiator Ranking) to rank the web documents by their possibility to be the topic initiator. We first extract features from the web documents and design several topic initiator indicators. Then, we propose a TCL graph which integrates the Time, Content and Link information and design an optimization framework over the graph to compute InitRank. Experiments show that compared with baseline methods, such as direct time sorting, well-known link based ranking algorithms PageRank and HITS, InitRank achieves the best overall performance with high effectiveness and robustness. In case studies, we successfully detected (1) the first web document related to a famous rumor of an Australia product banned in USA and (2) the pre-release of IBM and Google Cloud Computing collaboration before the official announcement.