RA No.1

Human-computer information retrieval techniques
From wikipedia, the free encyclopedia
Exact URL Source:

http://en.wikipedia.org/wiki/Human%E2%80%93computer_information_retrieval

Human-computer information retrieval (HCIR) is the study of information retrieval techniques that bring human intelligence in to the search process. The fields of human-computer interaction (HCI) and information retrieval (IR) have both developed innovative techniques to address the challenge of navigating complex information spaces, but their insights have often failed to cross disciplinary borders.

The techniques associated with HCIR emphasize representations of information that use human intelligence to lead the user to relevant results. These techniques also strive to allow users to explore and digest the dataset without penalty, without expending unnecessary cost of time, mouse clicks or context shift.

Faceted search enables users to navigate information hierarchically going from a category to its subcategories but choosing the order in which the categories are presented. This contrast with traditional taxonomies in which the hierarchy of categories is fixed and unchanging. It shows available categories categories but does not require them to browse through a hierarchy that may not precisely suit their needs or way of thinking .

Relevance feedback allows users to guide an IR system by indicating whether particular results are more or less relevant.

Summarization here is intended to encompass any means of aggregating or compressing the query results into a more human consumable form.

Clustering analyzes a set of documents by grouping similar or co-occurring documents or terms. It allows results to be partitioned into groups of related documents.

Visual representation of data is also considered a key aspect of HCIR. The representation of summarization or analytics may be displayed as tables, charts or summaries of aggregated data. Other kinds of information visualization that allow users access to summary views of search results include tag clouds and treemapping.


Three things I learned from it:

I had learned that there are so many ways in retrieving information. I never thought it has a very a very complex ways in navigating information such as this in HCIR.
I had also learned that if you would want almost exact information for your research you have to be precise in your terminologies/taxonomy . Avoid unnecessary words or delimit the information that you will type on the search engine.
I had also learned that HCIR is very important in academic research and industry practice. It helps them to navigate or retrieve information in the fastest and accurate way possible through the different techniques cited above.

Application/Implication of the new things I learned to my work/ to me as a person :

Honestly I am not a fan of technologies but being a librarian I have to learn the new trends in keeping updated in information science. We librarians should be the pioneer in information gathering because we are the first one being asked in the institution we worked with. This information has given me a different perspective in retrieving information. It opens my mind to a different new ways of retrieving and gathering data. With all honesty I am not familiar with all the words cited above though I tried to understand it. And somehow I get a little glimpse of it. Its all about information retrieval and this has been a challenge to me to discover more about it. I know there’s a lot more to learn and I am looking forward to that.