especially an interesting one

  • 1one — 1 /wVn/ number 1 the number one: one hundred and twenty one pounds ( 121) | The answer is on page forty one. | Can I have one coffee and two milkshakes please? 2 one or two a small number of people or things: There are one or two things to sort… …

    Longman dictionary of contemporary English

  • 2One Tree Hill (TV series) — One Tree Hill Intertitle, seasons 1–4; 8 Genre Drama, Sports Format Teen drama …

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  • 3One Piece — redirects here. For the clothing, see One piece swimsuit. One Piece First volume of One Piece, released in Japan by Shueisha on December 24, 1997 ONE PIEC …

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  • 4One Hundred Years of Solitude —   …

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  • 5one — one1 W1S1 [wʌn] number 1.) the number 1 ▪ They had one daughter. ▪ one hundred and twenty one pounds ▪ Come back at one (=one o clock) . ▪ Katie s almost one (=one year old) . 2.) one or two a small number of people or things = ↑a few ▪ There ar …

    Dictionary of contemporary English

  • 6especially — es|pe|cial|ly W1S1 [ıˈspeʃəli] adv 1.) [sentence adverb] used to emphasize that something is more important or happens more with one particular thing than with others = ↑particularly ▪ I never liked long walks, especially in winter. ▪ Art books… …

    Dictionary of contemporary English

  • 7List of One Tree Hill characters — The original five from the first season; Upper row (L R) Lucas, Peyton and Haley. Lower row (L R) Brooke and Nathan. One Tree Hill is an American television series created by Mark Schwahn for The WB in 2003. After its third season, The WB and UPN …

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  • 8Paris One — City of license Paris Broadcast area France Slogan The Next Deejayneration First air date 05 February …

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  • 9Formula One 2000 — Infobox VG| title = Formula One 2000 developer = Studio 33 publisher = Sony Computer Entertainment (PS1) Take Two Interactive (GBC) designer = engine = released = PlayStation: genre = Racing modes = Single player, multiplayer ratings = ESRB:… …

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  • 10Slope One — Collaborative filtering is a technique used by recommender systems to combine different users opinions and tastes in order to achieve personalized recommendations. There are at least two classes of collaborative filtering: user based techniques… …

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