About the Book
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Pages: 120. Chapters: Search engine, Key Word in Context, Index, Stemming, Latent semantic indexing, Web search engine, Concept Search, Learning to rank, URL redirection, Question answering, Latent semantic analysis, ZyLAB Technologies, Tag, Nearest neighbor search, Legal information retrieval, Collaborative search engine, Precision and recall, Cluster labeling, Collaborative filtering, Human-computer information retrieval, Expertise finding, Subject indexing, Full text search, Figaro Systems, Jumper 2.0, Statistical semantics, Web query classification, SimRank, Faceted search, Scientific data archiving, Relevance, Exploratory search, Information Retrieval Facility, Search engine technology, Tf-idf, Multi-document summarization, Enterprise search, Fuzzy retrieval, Knowledge tags, Vector space model, Text Retrieval Conference, Federated search, Natural language user interface, Rocchio Classification, Extended Boolean model, Relevance feedback, International Society for Music Information Retrieval, Greenpilot, Discounted cumulative gain, XML-Retrieval, Globrix, Search-based application, Proximity search, Query expansion, Noisy text analytics, Web search query, Isearch, Compound term processing, Bioinformatic Harvester, European Summer School in Information Retrieval, Coveo, EXCLAIM, Information needs, Cognitive models of information retrieval, Binary Independence Model, DtSearch Corp., National Centre for Text Mining, Web harvesting, Ordered Weighted Averaging Aggregation Operators, Open domain question answering, Document retrieval, Negative search, Semantic technology, Personalized search, MAREC, Uncertain inference, Fisher kernel, Anchor text, 30 Digits, Decision engine, Matthews correlation coefficient, Datanet, Harvester42, Cosine similarity, Instant indexing, European Conference on Information Retrieval, ChemRefer, Concept Searching...
