Information Filtering Task
An Information Filtering Task is a filtering task that applies to an information source and is based on a filtering preference profile.
- Context:
- Input: an item set.
- It can be solved by an Information Filtering System (by implementing an information filtering algorithm).
- It can (typically) Remove Information from an Information Stream.
- It can Rank content.
- Example(s):
- an Item Recommendation Task, such as a movie recommendation task.
- a Spam Removal Task.
- …
- Counter-Example(s):
- an Information Retrieval Task, that is supposed to find the relevant information required for a goal.
- an Information Analysis Task.
- an Information Extraction Task.
- an Information Transmission Task,
- See: Information Filtering Discipline, Redundancy (Information Theory), Information Overload, Signal-to-Noise Ratio.
References
2017
- (Wikipedia, 2017) ⇒ https://en.wikipedia.org/wiki/Information_filtering_system Retrieved:2017-11-14.
- An information filtering system is a system that removes redundant or unwanted information from an information stream using (semi)automated or computerized methods prior to presentation to a human user. Its main goal is the management of the information overload and increment of the semantic signal-to-noise ratio. To do this the user's profile is compared to some reference characteristics. These characteristics may originate from the information item (the content-based approach) or the user's social environment (the collaborative filtering approach).
Whereas in information transmission signal processing filters are used against syntax-disrupting noise on the bit-level, the methods employed in information filtering act on the semantic level.
The range of machine methods employed builds on the same principles as those for information extraction. A notable application can be found in the field of email spam filters. Thus, it is not only the information explosion that necessitates some form of filters, but also inadvertently or maliciously introduced pseudo-information.
On the presentation level, information filtering takes the form of user-preferences-based newsfeeds, etc.
Recommender systems and content discovery platforms are active information filtering systems that attempt to present to the user information items (film, television, music, books, news, web pages) the user is interested in. These systems add information items to the information flowing towards the user, as opposed to removing information items from the information flow towards the user. Recommender systems typically use collaborative filtering approaches or a combination of the collaborative filtering and content-based filtering approaches, although content-based recommender systems do exist.
- An information filtering system is a system that removes redundant or unwanted information from an information stream using (semi)automated or computerized methods prior to presentation to a human user. Its main goal is the management of the information overload and increment of the semantic signal-to-noise ratio. To do this the user's profile is compared to some reference characteristics. These characteristics may originate from the information item (the content-based approach) or the user's social environment (the collaborative filtering approach).
2001
- (Hanani et al., 2001) ⇒ Uri Hanani, Bracha Shapira, and Peretz Shova. (2001). “Information Filtering: Overview of Issues, Research and Systems.” In: User Modeling and User-Adapted Interaction, 11(3). doi:10.1023/A:1011196000674
- QUOTE: … Information filtering (IF) is one of the methods that is rapidly evolving to manage large information flows. … In the conclusion we present research issues in the Information Filtering research arena, such as user modeling, evaluation standardization and integration with digital libraries and Web repositories.
1992
- (Belkin & Croft, 1992) ⇒ Nicholas J. Belkin, and W. Bruce Croft. (1992). “Information Filtering and Information Retrieval: Two Sides of the Same Coin?.” In: Communications of the ACM Journal, 35(12). doi:10.1145/138859.138861
- QUOTE: Information filtering is a name used to describe a variety of processes involving the delivery of information to people who need it. Although this term is appearing quite often in popular and technical articles describing applications such as electronic mail, multimedia distributed systems, and electronic office documents, the distinction between filtering and related processes such as retrieval, routing, categorization, and extraction is often not clear. It is only by making that distinction, however, that the specific research issues associated with filtering can be identified and addressed.