1. IR basics
    1. IRS Schematic
    2. Basic IR components (Croft)

      Connectionist models and information retrieval, by T. Doszkocs, J. Reggia, and X. Lin. Annual Review of Information Science & Technology 25:209-260, 1990.

      Machine Learning for information retrieval: Neural networks, symbolic learning and genetic algorithms. by H. Chen, JASIS 46(3):194-216, April 1995.

      e[Croft, 1995] +[van Reisjbergen, 1979]

    3. "Intelligent" IR (Croft)
    4. "Vector space" model +[Salton, 1983 #149]
    5. Probabalistic models
      1. Probability ranking principle
      2. Bayes applied to IR
      3. Statistical independence
      4. Distributions for non/function words ?[Stone et al. 68]
    6. Evaluation of IR system performance
  2. Spreading activation search for IR +[Cohen, 1987 #593] +[Rada, 1990?] ?[Humphries, MESH?] ?[G. Miller, WordNet?]
    1. SAS - Psychological history
    2. Connectionist representation for IR +[Belew, 1989 #588] +[Rose, 1994 #886]
    3. Retrieval example
  3. Characteristics of the feedback signal
      [Rose, 1994, Chap. 9]
    1. Co-relevance relation
    2. Learning across queries in same "session"
    3. Cultural learning: from others' experience ?[Goldberg,1994] ?[Rose'94?] [Lashkari, 1995] e[Steier, 1993 #788]
  4. Learning "the" IR problem [Lewis, 1991]
    1. Goal: Improve retrieval effectiveness
    2. Query vector modification +[Oddy, 1973??] +[Stanfill, 1986 #368]
    3. Document(s) vector modification! +[Brauen, 1969 #502] ?[Rocchio, 1968?] ?[Salton, 1990]
    4. Dimensionality reduction ?[Deerwester et al., 1990] e[Bartell, 1992 #787]
    5. Parameter optimization e[Bartell, 1994 #891]
  5. Heterogeneous data sources
    1. Beyond indexing (keyword/document) info
    2. Citation structures ("Bibliometrics") ?[d.s.Price, 1975??] ?[Small, 1980?]
      1. Science
      2. Law
    3. Authors' genealogies e[Steier, 1994 #894]
    4. Semantic interactions
  6. Learning other retrieval problems
    1. Retrieval from heterogeneous corpora
        [Krulwich, 1995b]
      1. Data fusion [Towell, 1995] [Voorhees, 1995]
      2. Vocabulary mismatch
      [Perkowitz, 1995]
    2. Routing/filtering [Lang, 1995] [Wiener, 1995] [Krulwich, 1995a] [McElligott, 1994]
      1. Text classification, clustering [Schutze, 1995] [Lewis, 1993] [Martin, 1995] [Cohen, 1995] [Gale, 1992]
    3. Info-seeking agents [Menczer, 1995] [Armstrong, 1995] [Lashkari, 1995] [Hammond, 1995] [Balabanovic, 1995] [Pazzani, 1995]
  7. Learning linguistic problems
    1. Summarization [Kupiec, 1995]
    2. Text segmentation [Hearst, 1994]
    3. Word-sense disambiguation [Yarowsky, 1992] e[Steier, 1994]